Friday, August 7, 2026

8-7-26 Master - Miller & CohenMiller

1. Introduction

Over the past two decades, the ecology through which educational knowledge is produced, distributed, and encountered has undergone a profound transformation. Digital technologies now provide instructors with access to an extraordinary range of scholarly and instructional resources. Materials that once required extensive searching—or were simply unavailable—can often be located almost immediately. Yet this remarkable expansion in access has created a problem of its own. Instructors now encounter far more potentially valuable material than can reasonably be evaluated, remembered, or incorporated into teaching.

Much professional attention understandably focuses on individual resources. An instructor looking for material on a particular topic may search for an article, video, report, dataset, or other resource, evaluate its usefulness, and preserve or incorporate it into teaching. Such resource-centered work remains indispensable. But digital abundance has made another feature of the knowledge environment increasingly consequential: many valuable resources emerge from sources that continue producing new work.

A useful article may come from a journal that regularly publishes relevant scholarship. An effective video may come from a creator with an expanding collection. A valuable report may lead to an organization that continues producing research and educational materials. In each case, the individual resource matters in its own right, but it may also reveal something else—a continuing source of potentially valuable future knowledge.

The distinction is simple but consequential. An individual resource is finite; a continuing source has a future. Once an article, video, or report has been discovered and evaluated, the immediate professional task surrounding that resource may be substantially complete. A productive journal, creator, organization, or other repository, by contrast, may produce something valuable tomorrow, next month, or years later. If that future work matters, the professional problem extends beyond finding and preserving individual resources. It also involves identifying productive sources and finding ways to remain connected to them over time.

This paper develops Repository Thinking as a conceptual orientation toward that additional level of professional attention. Repository Thinking does not propose replacing resource-centered discovery, evaluation, or curation. Rather, it asks professionals to consider the continuing repositories from which valuable resources emerge as potential objects of sustained attention in their own right. A familiar question—Is this resource useful?—is therefore supplemented by another: Who produced this—and what else do they produce?

That second question becomes increasingly important under conditions of digital abundance. No instructor can systematically examine every potentially useful resource produced across an expanding knowledge environment. Attention is necessarily selective. Identifying productive repositories provides one means of concentrating that limited attention by establishing continuing relationships with sources that have demonstrated potential professional value. Repository Thinking is offered not as a description of what instructors necessarily do, but as a sensitizing concept for recognizing and responding to this feature of the contemporary knowledge environment.

A further practical question then follows: once a productive repository has been identified, how can that relationship be sustained? This paper proposes the Discovery–Monitoring–Organization (DMO) framework as one response. Discovery brings potentially valuable repositories into professional awareness; Monitoring supports continuing awareness as those repositories produce new work; and Organization preserves accumulated resources, relationships, and professional judgments for future use. These functions are not tied to particular technologies. Rather, they describe recurring forms of professional work made increasingly consequential by continuing digital production.

Sustained over time, these practices may contribute to what we call Professional Memory: the accumulated capacity to preserve, reconnect with, interpret, and apply professional knowledge across years of teaching and scholarship. From this perspective, the challenge posed by digital abundance is not simply how to find more information. It is how to create continuity within an environment in which useful knowledge continually appears, expands, and changes.

The sections that follow develop this argument in stages. Section 2 elaborates Repository Thinking as a conceptual orientation. Section 3 examines the historical developments that increased the professional significance of continuing repositories and the problems of scale associated with resource-centered curation. Section 4 introduces the DMO framework as a practical means of sustaining repository-level attention, while Section 5 considers how these practices can support Professional Memory over time. The conclusion considers the broader implications of Repository Thinking for professional work within continually expanding knowledge environments.

2. Repository Thinking: An Additional Level of Professional Attention

Repository Thinking begins with a simple observation: a valuable resource may also reveal a valuable source. An article, video, report, podcast, visualization, or other resource may be useful for an immediate instructional purpose. Yet the journal, creator, organization, research center, or other source responsible for that resource may represent something more—a continuing repository capable of producing additional valuable work over time.

Repository Thinking directs professional attention toward this additional possibility. It does not diminish the importance of individual resources or replace the familiar work of discovering, evaluating, and curating them. Rather, it supplements resource-centered attention by treating the continuing sources from which valuable materials emerge as potential objects of professional attention in their own right. The relevant question therefore expands from Is this resource useful? to include Who produced this—and what else do they produce?

Repository Thinking as a Sensitizing Concept

Repository Thinking is best understood as a sensitizing concept rather than a particular technology, organizational system, or prescribed workflow. It draws attention to a feature of the contemporary knowledge environment that may otherwise remain easy to overlook: individual resources frequently belong to larger bodies of work whose value can extend beyond the resource initially encountered.

This distinction matters because professional attention is limited. In an environment containing more potentially valuable material than any instructor can systematically examine, the problem is not simply how to discover additional resources. It is also how to decide where continuing attention may be most productively directed. A resource that proves especially valuable provides one possible signal. Rather than ending with the resource itself, discovery can prompt examination of the source that produced it.

Repository Thinking therefore adds a repository-level perspective to resource-level evaluation. At the resource level, instructors may ask about accuracy, relevance, quality, accessibility, or instructional usefulness. At the repository level, different questions become possible: Does this source regularly produce work relevant to my professional interests? What is the scope and character of its collection? Is its work sufficiently valuable to warrant continued attention? The two levels are complementary. Evaluating a repository does not determine the value of every resource it contains, just as evaluating an individual resource does not establish the value of everything its source may subsequently produce.

The Continuing Repository

The concept of the continuing repository is central to Repository Thinking. Repositories are not new. Libraries, journals, archives, museums, and professional organizations have long preserved and distributed knowledge. What matters here is a particular characteristic increasingly consequential within digital environments: the repository remains productive over time.

A continuing repository combines accumulated content with the possibility of future production. Its existing collection provides immediate professional value, but that collection is not necessarily complete. New articles may be published, new videos released, new reports issued, or new materials added as the source continues its work. The repository therefore has both a past and a future.

This temporal quality distinguishes repository-level attention from attention directed only toward a completed individual resource. An instructor may discover, evaluate, save, and use a particular resource without needing to maintain an ongoing relationship with it. A continuing repository presents an additional possibility. If its future production is likely to remain valuable, the professional task may extend beyond preserving what has already been found to maintaining some form of connection with the source itself.

This does not require every useful resource to lead to a continuing professional relationship. Many valuable materials may remain valuable as individual items, and many repositories will not warrant sustained attention. Repository Thinking instead encourages a selective judgment: when a resource proves valuable, its source becomes worth considering. The repository is therefore not automatically privileged over the resource; it becomes an additional object of evaluation.

From Resource Discovery to Repository Recognition

This distinction changes the potential meaning of discovery. In conventional resource-centered searching, locating a useful item may reasonably mark the successful completion of the search. Repository Thinking introduces another possible step. The resource can also function as an entry point through which its source becomes visible.

The progression is straightforward:

Is this useful?

Who produced this—and what else do they produce?

The first question evaluates the immediate resource. The second evaluates whether that discovery may point toward a larger and potentially continuing body of valuable work. Repository Thinking resides primarily in this second move.

This orientation can apply across very different forms of professional knowledge. A journal article may lead an instructor to continuing scholarship within a journal; a report may reveal an organization with a substantial publication program; an instructional video may provide entry into a creator's larger collection. What these cases share is not a particular medium or technology, but a movement from the value of one encountered resource toward consideration of the productive source behind it.

Repository Thinking and Professional Judgment

Repository Thinking consequently depends upon professional judgment rather than indiscriminate accumulation. The objective is not to follow every journal, creator, organization, or collection encountered. Doing so would merely reproduce the problem of information abundance at another level. The relevant task is selective: identifying repositories whose continuing production appears sufficiently valuable to justify sustained professional attention.

That judgment can change over time. A repository that once proved highly useful may become less relevant; another may develop in unexpected directions; new sources may emerge as professional interests or instructional responsibilities change. Repository Thinking therefore treats repository relationships as objects of continuing evaluation rather than permanent commitments.

This point also distinguishes Repository Thinking from simple subscription or collection behavior. Following a channel, joining a mailing list, saving a website, or subscribing to a feed does not by itself constitute Repository Thinking. Such actions may support it, but the underlying orientation is conceptual: recognizing productive sources, evaluating their continuing relevance, and deliberately deciding where professional attention should be sustained.

A Complementary Level of Professional Attention

Repository Thinking is therefore not a proposal to replace resource-centered curation with repository-centered curation. Individual resources remain the immediate objects through which much teaching and learning occur, and their quality must still be judged individually. Repository-level attention addresses a different question: whether the productive source behind a resource may itself possess continuing professional value.

The distinction is important because the two levels support different forms of professional work. Resource-centered attention helps instructors identify and evaluate materials for particular purposes. Repository-centered attention helps identify sources whose continuing work may deserve awareness across multiple purposes and over longer periods of time. One concerns the value of an item; the other concerns the prospective value of a source.

Seen in this way, Repository Thinking represents an extension rather than a rejection of established approaches to educational resource discovery and curation. It preserves their concern with the quality and usefulness of individual materials while adding attention to the continuing environments from which those materials emerge.

The historical conditions that have made this additional level of attention increasingly consequential did not appear all at once. They developed as digital production expanded, continuing repositories became more numerous and accessible, and resource-by-resource curation confronted increasing problems of scale. The next section examines that historical development and the changing knowledge environment from which Repository Thinking emerges.

3. The Historical Development of Repository Thinking

Repository Thinking is best understood against changes in the digital knowledge environment over the past several decades. Rather than presenting a comprehensive history of educational technology, this section examines several developments that changed how professional knowledge was produced, distributed, and made available for instructional use. Of particular importance were the early emphasis on finding and curating individual digital resources, the growth of continuing online repositories, the increasing scale of digital production, and uneven disciplinary attention to these developments. Together, these changes provide the historical context for Repository Thinking.

The Resource-Centered Orientation of Early Digital Curation

Collections and repositories of professional knowledge long predate the digital era. Libraries, journals, archives, professional organizations, and other institutions have historically gathered and preserved resources for continuing use. The development considered here therefore does not involve a historical transition from individual resources to collections. Rather, it concerns a change in what becomes practical and important when digital technologies make both individual resources and the continuing sources that produce them vastly more accessible.

Early developments in educational technology understandably placed considerable emphasis on individual digital resources. Learning Objects, metadata standards, digital libraries, reusable instructional materials, and later Open Educational Resources (OER) reflected a common concern with making high-quality materials easier to discover, evaluate, share, and incorporate into teaching. Initiatives such as MERLOT complemented these efforts through peer review, cataloging, and other forms of quality assurance intended to strengthen the usefulness and legitimacy of digital instructional resources within higher education.

This emphasis addressed an important problem of the emerging digital environment: finding useful materials. Online instructional resources remained comparatively limited in quantity and accessibility, and considerable effort could be required simply to locate something appropriate for classroom use. Much of the early educational-technology literature consequently treated the individual resource as a principal object of discovery, evaluation, and curation. Finding a useful website, simulation, learning object, or video—and determining how it might contribute to teaching—represented a meaningful accomplishment in itself.

Resource-centered curation remained important as the web expanded. The Sociological Cinema (TSC) provides a useful illustration. Although TSC itself developed into a substantial online collection, its curatorial approach focused primarily on identifying individual videos and providing sociological and pedagogical context for their use. Its hundreds of posts therefore illustrate an important distinction: a repository can itself be built through repeated acts of individual-resource curation. The relevant historical development is not that resources somehow became repositories. It is that an expanding digital environment made it increasingly useful to direct professional attention at both levels.

The Growth of Continuing Digital Repositories

At the same time, the technological conditions supporting professional knowledge production were changing rapidly. Increased network capacity made online multimedia increasingly practical, while inexpensive digital production tools lowered barriers to creating and distributing content. Web-based publishing allowed individuals and organizations to reach audiences directly. Open-access publishing broadened access to scholarship, while online-first publication and preprint services accelerated its circulation.

These developments did more than increase the number of resources available. They greatly expanded the ability of knowledge producers to maintain accessible bodies of work that could continue growing over time. Journals could make earlier scholarship searchable while continually adding new publications. Organizations could maintain collections of reports and educational materials while producing additional work. Individual creators could develop substantial bodies of instructional media whose past and future contributions remained connected through the same source.

Continuing repositories were not historically new. What changed were the conditions under which they could operate and be encountered. Digital repositories could combine persistent access to earlier work with ongoing production, rapid distribution, searchability, and direct navigation between individual items and their sources. Subscriptions, feeds, alerts, and related technologies also made it increasingly possible to remain aware of subsequent additions. A repository's professional value could therefore reside not only in what it already contained but also in what it might produce next.

The connection between an individual resource and its source became especially consequential. An instructor encountering a valuable article could immediately examine other work published by the same journal. A useful report could lead to the broader publications of the organization that produced it. An effective video could lead directly to a creator's larger and continually expanding collection. Digital environments thus made it easier for an individual discovery to become an entry point into a continuing source of professional knowledge.

The Problem of Scale

These same developments produced a second historical change: abundance. Lower barriers to production and distribution enabled enormous numbers of resources to become available at a pace that earlier approaches to curation had not been designed to accommodate. This greatly expanded the range of materials potentially useful for teaching, but it also placed increasing pressure on strategies centered primarily on discovering and curating individual items.

The problem can be stated simply. Individual-resource curation takes time. Potential resources must be found, evaluated, contextualized, organized, and sometimes reconsidered as instructional needs change. None of this work becomes less important simply because more content exists. But as production expands, no instructor—or curator—can systematically examine every potentially useful item.

Online video makes the problem particularly visible. TSC's resource-centered model could identify an individual video, evaluate its pedagogical value, provide sociological context, and make it easier for instructors to use. Repeated across hundreds of posts, this approach created a substantial curated collection. Yet the amount of online video continued to grow much faster than any manually curated collection reasonably could. The problem was no longer simply finding enough useful material. It was maintaining meaningful professional awareness within an environment producing more potentially valuable material than could be evaluated one item at a time.

Meanwhile, some of the producers appearing within that environment were themselves creating substantial collections. A creator, research center, professional organization, or other source might produce not one useful resource but dozens or hundreds, with additional work continuing to appear. That development created another possibility. Instead of repeatedly encountering the products of a valuable source as isolated discoveries, the source itself could become an object of professional attention.

This does not make individual-resource curation obsolete. Particular resources still must be evaluated before they are used, and resource-centered curation remains indispensable. Repository-level attention addresses a different problem. It asks whether the source behind a valuable resource may itself deserve continuing attention. Under conditions of abundance, the two approaches can therefore complement one another: one helps determine which particular resources are useful; the other helps determine where limited professional attention may be worth sustaining.

Uneven Disciplinary Recognition

The growth of online repositories did not receive equal attention across disciplinary teaching literatures. Economics provides one useful comparison. Its teaching literature began giving systematic attention to online instructional resources more than two decades ago, including dedicated attention to web-based resources and subsequent examination of particular forms and sources of digital content.

Sociology presents a different historical record. Teaching Sociology has a longstanding interest in instructional media, extending back to early scholarship on the use of film. It also published work examining TSC and the use of curated online video in relation to teaching objectives. Yet the broader proliferation of sociology-oriented online repositories received comparatively little sustained attention in the discipline's pedagogical literature. Substantial collections of sociologically relevant online material developed without comparable scholarly examination of the repositories producing them.

The comparison matters because the development of repositories and disciplinary recognition of them are separate historical processes. A repository can develop a substantial collection, audience, and potential educational relevance without becoming an object of systematic pedagogical discussion. Changes in the actual ecology of professional knowledge may therefore proceed with relatively little corresponding attention in the literature through which a discipline examines its teaching resources.

From Individual Resources to Continuing Sources

The significance of these historical developments can be expressed quite simply. An individual resource is finite; a continuing repository has a future. An article, video, or report can be discovered, evaluated, preserved, and used. The journal, creator, organization, or other source that produced it, however, may continue producing new work. If that future work is potentially valuable, an additional professional problem arises: how can an instructor remain connected to the source over time?

Repository Thinking directs attention to this additional problem. It does not replace attention to individual resources. Rather, it adds another level of professional attention by asking whether a valuable resource points toward a continuing source worth following. Resource-centered curation and repository-centered attention are therefore complementary. The first asks primarily, Is this resource useful? The second adds, Who produced this—and what else do they produce?

Once attention extends to a continuing source, a third question follows: How can I remain connected to what it produces next? This question introduces a temporal dimension that is less central to the evaluation of a completed individual resource. A productive repository continues to develop after its initial discovery. Sustained engagement therefore requires some means of maintaining awareness of its continuing work and preserving accumulated knowledge concerning both the repository and the resources it produces.

Figure 1 summarizes this distinction. Its central point is not that repositories replace individual resources, but that continuing repositories create an additional level of professional attention. The item is finite; the source continues.

[FIGURE 1 ABOUT HERE]

Figure 1. Resource-Centered Curation and Repository-Centered Professional Attention

The distinction represented in Figure 1 provides the bridge from the historical developments examined here to the practical framework that follows. At the resource level, professional work centers principally on discovering, evaluating, preserving, and applying particular materials. At the repository level, the continuing character of the source creates an ongoing professional relationship. That relationship introduces recurring requirements: productive repositories must be discovered, their continuing work must remain visible, and accumulated knowledge concerning them and their resources must remain recoverable over time.

These requirements provide the foundation for the DMO framework developed in the next section. Discovery, Monitoring, and Organization are not presented as wholly new professional activities. Their significance lies in their integration around continuing repositories as enduring objects of professional attention. In particular, Monitoring assumes greater importance when the object of attention is not a completed resource but a source capable of producing new knowledge in the future.

The historical transformation occurred in the knowledge environment; Repository Thinking is proposed as one response to that transformation. Digital abundance did not eliminate the importance of individual resources or resource-centered curation. It created conditions under which attention to productive continuing sources could become an increasingly valuable complement to them. The next section examines how that continuing relationship can be sustained in practice.

4. Operationalizing Repository Thinking: The DMO Framework

Repository Thinking provides a conceptual orientation toward an environment increasingly characterized by continuing repositories of professional knowledge. The historical developments described in the preceding section raise a practical question: How can instructors sustain meaningful engagement with productive repositories when the scale and continuing expansion of professional knowledge make comprehensive attention to individual resources increasingly difficult?

The DMO framework offers one response by identifying three enduring professional functions: Discovery, Monitoring, and Organization. These functions address different dimensions of the same problem. Discovery helps instructors identify repositories worthy of continued attention. Monitoring provides continuity as those repositories produce new work. Organization preserves accumulated resources, relationships, and professional judgments so that they remain available for future use. Together, these functions provide a practical means of operationalizing Repository Thinking within a knowledge environment whose scale exceeds what can reasonably be managed on a resource-by-resource basis.

DMO should be understood as a functional, rather than a technological, framework. Particular tools may facilitate Discovery, Monitoring, or Organization, but no technology defines any of them. Platforms will emerge, change, and disappear; professional functions remain more durable because they address recurring problems of attention, continuity, and preservation.

Discovery

Discovery is the process through which potentially valuable repositories enter professional awareness. Conventional information seeking commonly begins with a particular need: an instructor searches for an article, video, dataset, classroom activity, or other resource appropriate to an immediate purpose. Repository Thinking retains the importance of such searches while extending their significance. A valuable individual resource may also provide an entry point into a continuing source of professional knowledge.

This extension becomes especially important as the scale of available content increases. When potentially useful resources number in the thousands or millions, comprehensive evaluation of individual items becomes increasingly unrealistic. Repository discovery provides a different form of professional filtering. Rather than attempting to identify every potentially useful resource, instructors can focus on productive sources whose ongoing work is likely to merit future attention. The relevant question therefore expands from Is this resource useful? to Who produced it—and what else do they produce?

Discovery at the repository level also requires judgment. The appearance of one valuable resource does not necessarily establish the continuing value of its source. A repository becomes worthy of sustained attention when its broader body of work demonstrates sufficient relevance, credibility, quality, or productivity to justify continued engagement. Repository Thinking therefore shifts some evaluative attention from the qualities of individual resources toward the ongoing sources from which they emerge.

This does not eliminate resource-level discovery. Individual resources remain the immediate materials through which repositories are often encountered and evaluated. The difference is that discovery need not terminate with the resource itself. A useful article may reveal a productive journal, just as an effective instructional video may reveal a creator whose broader collection warrants exploration. Under conditions of abundance, such entry points provide a practical means of moving from isolated discoveries toward a more manageable ecology of trusted sources.

Monitoring

Identifying a productive repository solves only the initial problem. Continuing repositories change precisely because they keep producing. New scholarship appears, collections expand, and professional conversations develop. Discovery without some mechanism for maintaining awareness therefore leaves instructors dependent upon memory, repeated searching, or chance encounters to reconnect with sources they have already judged valuable.

Monitoring addresses this temporal problem. Its purpose is to maintain continuity of awareness as repositories evolve. Rather than requiring instructors to repeatedly remember and revisit every valued source, monitoring establishes pathways through which subsequent work becomes visible as it appears. RSS feeds, newsletters, subscriptions, alerts, and emerging AI-supported systems illustrate different technological approaches to the same underlying function: maintaining connection with continuing sources of professional knowledge.

The importance of monitoring becomes clearer as the number of repositories increases. Periodically revisiting a handful of favored sources may be manageable; doing so across dozens or hundreds becomes progressively less practical. Monitoring reduces this burden by shifting some professional activity from repeated searching toward sustained awareness. It does not require attention to everything a repository produces. Instead, it keeps the repository within the instructor's professional field of view, enabling potentially valuable developments to be recognized and evaluated.

Monitoring therefore changes the temporal structure of professional knowledge work. Search is episodic: a need arises, a search occurs, and resources are located. Monitoring introduces continuity between those episodes. Sources discovered at one point in a professional career can remain relevant to later work rather than disappear from view once an immediate instructional need has passed.

This distinction is especially important within the framework developed here. Repository Thinking treats productive repositories as enduring objects of professional engagement. Monitoring provides the function through which that engagement can persist over time. Without it, repository discovery risks becoming little more than another isolated encounter.

Organization

Discovery and monitoring address problems of identification and continuity, but they also generate a further challenge. As valuable repositories and resources accumulate, professional knowledge can itself become difficult to navigate. Without deliberate organization, the products of successful discovery and monitoring may simply reproduce at the personal level the same problem of scale encountered in the larger digital environment.

Organization addresses this problem by preserving accumulated professional knowledge in forms that remain retrievable and useful. Its purpose extends beyond storing individual resources. What warrants preservation may also include information about where a resource originated, why it was considered valuable, how it might be used instructionally, and how it relates to other resources or repositories. These accumulated judgments represent intellectual work that would otherwise have to be repeatedly reconstructed.

Repository Thinking consequently broadens the object of organization. A conventional collection may preserve an article, video, or report. A repository-oriented system can additionally preserve pathways back to the continuing source from which that resource emerged. This distinction matters because the source itself may continue generating useful material long after the original item has been saved.

Organization also creates continuity across instructional contexts. A resource encountered while preparing one course may become useful years later in another; an annotation made for one purpose may acquire new relevance as teaching needs change. Preserving these relationships allows earlier professional work to remain available for reconsideration rather than requiring instructors repeatedly to begin anew.

Much of this activity remains largely invisible because it occurs before the classroom moment itself. Identifying productive sources, preserving evaluations, establishing retrieval pathways, and connecting new discoveries with accumulated knowledge are forms of professional labor that make subsequent teaching possible even though they rarely appear in the instructional event. Organization helps make the results of that labor durable.

DMO as an Integrated Professional Practice

Discovery, Monitoring, and Organization describe familiar activities when considered individually. Their significance within the DMO framework lies in their integration around continuing repositories and in the different problems of scale they address.

Discovery reduces an enormous universe of individual resources by identifying productive sources worthy of continuing attention. Monitoring maintains awareness of those sources as their collections develop. Organization preserves the resources, relationships, and professional judgments generated through that continuing engagement. Each function therefore supports the others.

The relationship among them is not necessarily linear. Monitoring may reveal a resource that leads to the discovery of another repository. Organization may expose gaps that prompt new discovery. Continued engagement may also lead instructors to reconsider whether a previously valued repository still warrants attention. DMO is therefore better understood as a recurring professional practice than as a sequence completed once.

Nor does DMO require comprehensive coverage. Its purpose is not to construct an exhaustive map of the professional knowledge environment or to monitor everything potentially relevant to an instructor's work. Such an ambition would reproduce the very scale problem the framework is intended to address. DMO instead supports selective, sustainable engagement with repositories judged sufficiently valuable to merit continuing professional attention.

Over time, the significance of these activities extends beyond efficient information management. Discovery establishes relationships with productive sources; Monitoring maintains those relationships across time; Organization preserves the knowledge and judgments accumulated through them. Sustained across courses, semesters, and years of professional work, these practices provide continuity among encounters that might otherwise remain isolated or be forgotten.

That cumulative capacity provides the bridge to Professional Memory, the subject of the next section. Professional Memory develops not simply from possessing more information, but from preserving the relationships, judgments, contexts, and pathways through which accumulated knowledge can be recovered and brought to bear on future professional problems.

The appendices provide more detailed guidance for implementing each component of the DMO framework, together with examples and links to current applications that can support Discovery, Monitoring, and Organization. These technologies are presented as illustrative tools rather than defining features of the framework, allowing the underlying professional functions to remain applicable as particular platforms evolve.

5. Supporting Professional Memory

The practices described in the preceding section have consequences that extend beyond the effective management of professional knowledge. Sustained over time, Discovery, Monitoring, and Organization contribute to the development of Professional Memory—the accumulated capacity to preserve, reconnect with, interpret, and apply knowledge across years of professional practice. Repository Thinking provides the conceptual orientation, DMO provides the recurring practices, and Professional Memory describes an important cumulative capacity those practices can support.

Professional Memory encompasses more than remembered information. It includes accumulated judgments concerning the value and reliability of repositories, knowledge of their strengths and limitations, connections among sources and ideas, and experience concerning how particular resources can be brought to bear on instructional problems. What accumulates over time is therefore not simply a larger collection of materials, but a richer understanding of where valuable knowledge originates, how sources relate to one another, and how earlier professional work can inform new situations.

Importantly, Professional Memory should not be equated with unaided individual recall. Throughout the history of scholarship, professional work has depended upon external systems that extend memory beyond the limitations of cognition. Personal libraries, annotated books, notebooks, bibliographies, filing systems, and professional networks have enabled scholars to preserve accumulated knowledge and sustain intellectual continuity across years of teaching and research. These systems did not merely store information. They preserved pathways through which earlier intellectual work could be recovered and used again.

The contemporary digital environment extends this longstanding practice while substantially increasing its scale. Professional knowledge now develops across expanding digital repositories whose collections can change continually. Under these conditions, the challenge is not to remember everything. It is to maintain systems through which valuable sources, prior judgments, and earlier discoveries remain recoverable as professional needs change. Professional Memory consequently depends increasingly upon preserving not only individual resources but also relationships with the continuing repositories from which those resources emerge.

Contemporary digital technologies also change the practical possibilities for sustaining Professional Memory. Earlier external memory systems depended heavily upon deliberate acts of preservation and retrieval: books had to be acquired, notes recorded, files maintained, and useful sources remembered well enough to be revisited. Digital systems can reduce some of this recurring labor by partially automating DMO functions. Search and recommendation systems can assist Discovery; RSS feeds, subscriptions, and alerts can automate aspects of Monitoring; and social bookmarking and other knowledge-management systems can support the preservation,⁸ organization, and retrieval of accumulated resources. The significance of these technologies lies less in any particular application than in their capacity to make sustained engagement with a large and changing knowledge environment more manageable.

Automation is especially consequential for Professional Memory because it reduces dependence upon repeated acts of individual recollection. Once a productive repository has been identified, monitoring systems can continue surfacing its subsequent work without requiring the instructor to remember to revisit it. Once a resource or repository has been organized within an external system, retrieval need not depend upon recalling precisely where or when it was first encountered. Such affordances do not eliminate professional judgment: instructors must still decide which repositories warrant attention, which resources merit preservation, and how accumulated knowledge should be interpreted and applied. Rather, automation helps preserve the continuity upon which Professional Memory depends by allowing selected relationships and prior intellectual work to remain active over time.

The appendices provide more detailed discussion of technologies that can support these functions, including examples of current applications and links to relevant services. These tools are presented as illustrations of how DMO may be implemented rather than as necessary components of Repository Thinking; particular applications will change, while the professional functions they support are likely to endure.

This distinction has particular importance for Repository Thinking. An instructor may no longer remember the title of an article encountered years earlier or the precise video once used in a course. Yet remembering—or being able to recover—the journal, organization, creator, or other repository from which that material emerged preserves a pathway back into a larger body of knowledge. The repository thus becomes part of Professional Memory because it provides continuing access not merely to what was previously encountered but also to what has subsequently been produced.

Professional Memory also preserves the results of professional judgment. Decisions about which repositories deserve attention, which resources proved valuable, how materials were used, and how sources relate to one another represent intellectual work accumulated across professional practice. Much of this labor remains largely invisible because it occurs before the classroom moment itself. Yet when its results are preserved, later teaching need not begin anew. Earlier judgments, connections, and retrieval pathways can be reconsidered and extended as new instructional problems arise.

Professional Memory is therefore generative rather than merely archival. Its purpose is not simply to preserve the past but to make accumulated knowledge available for future action. A repository discovered while preparing one course may become useful years later in another. An earlier annotation may acquire new significance as scholarship develops. Connections among previously separate resources may become apparent only after subsequent discoveries. What has been preserved becomes material for reinterpretation, recombination, and renewed application.

Seen in this way, Professional Memory also helps explain the cumulative significance of DMO. Discovery expands awareness of productive sources; Monitoring maintains continuity with their continuing work; Organization preserves the relationships and judgments generated through that engagement. Their long-term value lies not simply in making information easier to manage at a particular moment, but in preventing professional knowledge from repeatedly dissolving back into isolated encounters. Sustained over time, these practices allow earlier intellectual work to remain available to later professional practice.

Artificial intelligence introduces an important new dimension to this process. AI systems can assist with discovery, retrieval, synthesis, and reconnection across increasingly large bodies of accumulated knowledge. From the perspective developed here, however, their longer-term significance may lie less in producing information than in strengthening the continuity of Professional Memory. AI may increasingly help professionals reconnect present questions with previously encountered sources, accumulated judgments, and evolving repositories that might otherwise have receded from attention. Used in this way, AI supports professional judgment by extending access to the intellectual work accumulated across time rather than replacing that judgment.

Professional Memory should therefore be understood as an ongoing accomplishment rather than a static possession. It develops as relationships with productive repositories are established, sustained, evaluated, and connected to accumulated professional experience. Repository Thinking provides a conceptual orientation toward those relationships; DMO provides recurring practices through which they can be cultivated; Professional Memory describes the continuity that can emerge when their results remain available across time.

The significance of this continuity extends beyond efficient information management. In an environment where professional knowledge continually expands and no individual can remain aware of everything, expertise increasingly depends not simply upon what one presently knows, but upon the capacity to reconnect with what one has previously learned, recover the sources through which that learning developed, and renew those relationships as knowledge continues to change. Professional Memory provides one way of understanding that enduring professional capacity.

6. Conclusion

The expansion of digital knowledge has transformed not only the quantity of professional resources available to instructors but also the conditions under which professional knowledge is produced, encountered, and sustained. As continuing repositories have multiplied and their collections have expanded, the challenge has increasingly extended beyond locating useful materials for immediate purposes. The scale and continuing production of digital knowledge make sustained engagement with productive sources an increasingly important dimension of professional practice.

This paper has proposed Repository Thinking as a conceptual orientation toward that changing environment. Its central proposition is straightforward: individual resources remain essential, but they may also serve as points of entry into continuing repositories whose value extends beyond any single contribution. Repository Thinking therefore adds repository-level attention alongside continued attention to individual resources. It does not describe a new behavior that instructors necessarily adopted as digital knowledge expanded; rather, it offers a framework for interpreting that transformation and for considering how professionals might respond to it.

The historical development of the digital knowledge environment helps explain why this orientation has become increasingly relevant. Technologies that lowered barriers to production and distribution contributed to the proliferation of continuing repositories, while the resulting scale made comprehensive attention to individual resources progressively less feasible. Recognition of these developments has varied across disciplines, leaving important aspects of the emerging repository ecology only lightly represented within some professional literatures. Repository Thinking provides one way of making that transformation more visible and conceptually intelligible.

The DMO framework translates this orientation into three recurring professional functions. Discovery identifies repositories whose continuing work may warrant attention. Monitoring maintains awareness as those repositories evolve. Organization preserves accumulated resources, relationships, and professional judgments for future use. Together, these functions address problems of attention, continuity, and preservation that become increasingly consequential as the professional knowledge environment expands. Their significance lies not in any particular technology, but in the enduring professional work they describe.

Sustained over time, these practices can contribute to Professional Memory: the accumulated capacity to preserve, reconnect with, interpret, and apply professional knowledge across changing instructional contexts. Professional Memory extends beyond unaided recall because professional knowledge has always depended upon external systems of preservation and retrieval. Contemporary digital technologies expand those possibilities by partially automating aspects of Discovery, Monitoring, Organization, and retrieval, allowing selected relationships with productive repositories and the intellectual work surrounding them to remain accessible over time. Artificial intelligence may extend this capacity further by helping professionals reconnect present questions with previously accumulated knowledge without displacing the professional judgment through which that knowledge acquires meaning.

Although developed here primarily in relation to higher education, the underlying argument may extend to other knowledge-intensive professions. Wherever practitioners confront expanding bodies of knowledge produced through continuing sources, the problem of sustaining meaningful professional attention is likely to arise. Repository Thinking therefore invites investigation across disciplines and professions, including research on how repositories are discovered and evaluated, how monitoring and organization practices develop, how Professional Memory changes across careers, and how emerging technologies reshape the relationship between professional judgment and accumulated knowledge.

Ultimately, the challenge posed by an expanding knowledge environment is not simply one of access, nor can it be solved by collecting ever larger numbers of individual resources. It is increasingly a problem of continuity: identifying productive sources, sustaining relationships with them as they evolve, and preserving the knowledge and judgments accumulated through those relationships. One practical question captures this orientation particularly well. When an article, video, report, or other resource proves especially valuable, the next question is not simply How can I use this? but Who produced this—and what else do they produce?

Repeated across a professional career, that modest question encourages a consequential addition to professional attention. Individual resources remain indispensable, but they need not remain isolated encounters. They can become entry points into continuing sources of knowledge; those sources can be discovered, monitored, and organized; and the relationships and judgments accumulated through that engagement can become part of Professional Memory. Repository Thinking thus offers not simply a way of managing more information, but a way of sustaining intellectual continuity within a knowledge environment that never stops changing.

Saturday, June 13, 2026

**MCM 6.5.26

From Platform Visibility to Pedagogical Durability: Discovery, Monitoring, and Organization in Online Instructional Video


Michael V. Miller and Anna S. CohenMiller


Abstract

Platformed educational media environments have expanded access to instructional resources, but visibility alone does not make media pedagogically durable. We develop the Discovery-Monitoring-Organization (D-M-O) framework to theorize the curatorial labor required to convert platformed media into retrievable and reusable teaching resources. Using online instructional video as a focal case, we argue that the critical shift is not only the growth of individual items, but the rise of productive online video repositories that persist, expand, and require source-level attention over time. Repository-level accumulation changes the unit of pedagogical curation from isolated media objects to evolving sources. D-M-O distinguishes discovery, monitoring, and organization as activities with different temporal structures and infrastructural requirements, and extends this sequence through retrieval and application. The framework shows why platform search, recommendation, subscription, notification, and saving systems often collapse distinct curatorial functions into episodic encounter or repeated retrieval. RSS monitoring and social bookmarking are discussed as analytically revealing examples of external curatorial infrastructure: RSS supports source-based awareness outside platform feeds, while social bookmarking preserves pedagogical judgment for later retrieval. We contribute to digital education scholarship by showing how pedagogical durability depends on curatorial systems that preserve professional memory across time.

Keywords: platformed educational media; online video repositories; media curation; pedagogical durability; personal information management; RSS; social bookmarking


1. Introduction: Platform Visibility and Pedagogical Durability

Online educational media increasingly circulate through platformed environments rather than through formal curricular, institutional, or publication channels. Videos, podcasts, data visualizations, recorded lectures, public scholarship, and other teaching-relevant materials are produced continuously and distributed through search engines, video platforms, social media feeds, project websites, and creator channels. These environments have greatly expanded the availability of instructional resources, but they have also changed the conditions under which such resources become visible, remain salient, and can be reused over time.

This shift is especially evident in online instructional video. Platforms such as YouTube have made vast quantities of teaching-relevant video publicly accessible, searchable, and persistently available (Burgess and Green 2009). Yet this expansion does not simply solve the problem of access. Under conditions of continuous digital accumulation, the central challenge is no longer finding an isolated resource for immediate use, but sustaining awareness of productive sources, preserving pedagogical judgment, and retrieving relevant materials when they become useful across courses and semesters.

The critical shift is not only that more educational video exists, but that educationally relevant video increasingly accumulates through productive repositories. Online video repositories multiply, persist, and continue producing. They are not merely containers for individual videos; they are ongoing sources with recognizable orientations, update patterns, authority structures, and pedagogical possibilities. This changes the unit of curation. Instructors are no longer dealing only with discrete media objects selected for immediate classroom use. They are increasingly dealing with evolving sources that must be discovered, followed, selectively organized, retrieved, and applied over time.

In this sense, platform visibility should not be mistaken for pedagogical durability. Platform systems are effective at surfacing content episodically through search, recommendation, subscription, notification, and feed-based interfaces. However, they provide weaker support for the cumulative practices that teaching requires: monitoring sources as they change, distinguishing durable repositories from incidental items, organizing selected materials around instructional purposes, and retrieving previously evaluated resources under the time constraints of course preparation. The result is a mismatch between the abundance of available media and the practical capacity to transform that abundance into stable educational infrastructure.

This mismatch is often framed as a problem of individual skill, digital literacy, or technological adoption. The “digital native” framing has been widely criticized because confidence in online search does not necessarily translate into systematic strategies for evaluating, preserving, or reusing digital materials (Bennett, Maton, and Kervin 2008; Head and Eisenberg 2010, 2011; Kirschner and De Bruyckere 2017). Research on personal information management likewise documents reliance on ad hoc practices such as informal bookmarking, memory-based retrieval, repeated searching, and fragmented storage across platforms and devices (Jones 2007, 2012; Whittaker 2011; Jacques, Campion, and Leger 2021).

These difficulties are not simply personal failures or transitional problems associated with new technologies. They reflect a broader infrastructural condition of platformed educational media. Platforms are organized around discovery, circulation, and engagement more than long-term pedagogical organization. Their interfaces encourage users to search again, scroll further, subscribe loosely, or rely on recommendation systems, but they do not necessarily help instructors maintain durable relationships with evolving sources or build cumulative teaching libraries. The problem is therefore not simply media abundance, but the fragility of professional and pedagogical memory in platformed educational environments. Instructors may repeatedly encounter valuable resources without institutional or infrastructural support to preserve the judgments, source relationships, and teaching contexts that make those resources reusable.

We develop the Discovery-Monitoring-Organization framework to clarify these distinct but often conflated forms of curatorial labor. Discovery refers to the episodic identification of relevant materials or productive sources. Monitoring refers to the ongoing maintenance of awareness once such sources are known. Organization refers to the selective retention, annotation, and indexing of materials so that they remain available for future pedagogical use. We also extend this framework through the fuller Discovery-Monitoring-Organization-Retrieval-Application sequence. Retrieval refers to locating previously identified and organized materials when they become relevant to a course, topic, concept, or classroom moment; application refers to integrating those materials into teaching.

The framework is not offered as a claim that discovery, monitoring, organization, retrieval, or application are unknown activities. Each has been addressed in adjacent literatures on media curation, personal information management, current awareness, digital literacy, educational technology, and instructional design. The problem is that these activities are often treated separately, folded into broad accounts of curation, or collapsed in practice by platform interfaces that organize educational media around search, recommendation, subscription, notification, and saving. The contribution of D-M-O/DMORA is not to rename familiar acts of curation, but to disaggregate them as a sequence of pedagogically consequential breakdown points in platformed educational media use. The framework’s value lies in showing where the conversion of platform visibility into pedagogical durability succeeds or fails.

Online instructional video provides a useful focal case because it makes platformed accumulation especially visible. Video repositories are persistent, publicly accessible, and often pedagogically rich, yet they vary widely in visibility, authority, production rhythm, disciplinary location, and instructional usefulness. Their value is rarely captured by platform ranking alone. Although we focus on video, the argument applies to podcasts, data interactives, newsletters, public scholarship sites, open educational resources, and other web-based materials that accumulate through platformed or semi-platformed environments.

Our contribution is conceptual and methodological rather than evaluative. We do not test the effectiveness of a particular platform, tool, or instructional intervention. Instead, we offer a framework for understanding the curatorial labor required to work with educational media under conditions of continuous digital accumulation. In the sections that follow, we situate the problem in research on personal information management and current awareness, explain the shift from item-level media to repository-level accumulation, formalize the D-M-O/DMORA framework, and examine RSS monitoring and social bookmarking as examples of external curatorial infrastructure.

2. Personal Information Management, Current Awareness, and Educational Media Curation

The problem identified in the introduction belongs to a broader set of difficulties associated with managing information across digital environments. Personal information management (PIM) research examines how individuals acquire, store, organize, retrieve, and use information in everyday and professional life (Jones 2007, 2008, 2012). Across settings, PIM studies show that people struggle to maintain useful materials over time, especially when those materials are distributed across multiple platforms, devices, formats, and storage systems (Boardman and Sasse 2004; Whittaker 2011). These findings are directly relevant to instructors, who increasingly work with resources scattered across video platforms, websites, podcasts, feeds, newsletters, and other digital sources.

PIM research is useful because it shifts attention away from access alone. The difficulty of working with digital materials rarely ends once an item has been found. Users must decide whether it is worth keeping, where it should be stored, how it should be named or classified, what contextual information should be preserved, and how it might be retrieved later. In educational settings, these decisions are pedagogical as well as informational: instructors must preserve not only the location of a resource, but also the reason it mattered, the concept it helped explain, the course or module it might support, and the form of student engagement it might enable.

This pedagogical dimension makes instructional media curation distinct from general personal information management. Instructors do not simply collect materials for private reference. They work with resources in relation to courses, learning objectives, disciplinary debates, student needs, institutional calendars, and recurring teaching situations. Thus, the management of educational media entails a temporal and interpretive burden: instructors must anticipate future uses and encode sufficient context to enable later retrieval.

Current-awareness research addresses part of this problem by examining how professionals remain informed about new information in their fields. Library and information science research has long considered tools and routines that scholars use to track emerging materials, including alerting services, RSS feeds, databases, newsletters, and social media streams (Bawden and Robinson 2009; Case and Given 2016; Tenopir, Volentine, and King 2013). Yet current-awareness research often treats monitoring and organization as adjacent rather than integrated practices. For instructors, awareness of new material has limited value unless potentially useful items can also be retained, annotated, organized, and retrieved in relation to teaching purposes. Conversely, an organized collection that is not connected to monitoring can become static and disconnected from emerging materials.

Earlier work on RSS feeds and social bookmarking anticipated this linkage but did not fully theorize it as a staged curatorial process. Mu (2008) identified RSS feeds and social bookmarking as useful resources for managing online information streams, and Mu and Kern (2011) described workshops introducing these tools to faculty. Research on Personal Learning Environments and Personal Learning Networks likewise cited RSS aggregation and social bookmarking as elements of self-directed learning environments (Attwell 2007; Dabbagh and Kitsantas 2012; Downes 2005; Drexler 2010). In these accounts, RSS typically appears as a way to receive new information, while bookmarking appears as a way to store or share resources.

These information-management concerns intersect with a broader critical literature on platformed education. Critical scholarship on educational technology has increasingly moved beyond questions of access, adoption, or tool effectiveness to examine how digital systems reorganize educational practice, professional roles, institutional authority, and platform dependence (Selwyn 2016). Work on platformization shows how educational activity becomes entangled with commercial infrastructures and platform logics, while critical edtech scholarship has called for analyses that move across scales, linking classroom practice to infrastructures, governance, data systems, and sociotechnical arrangements (van Dijck, Poell, and de Waal 2018; Macgilchrist 2021; Macgilchrist, Potter, and Williamson 2021; Kerssens and van Dijck 2021; Kerssens, Nichols, and Pangrazio 2024). These concerns are directly relevant to instructional media because platformed resources do not enter teaching as neutral objects; they are surfaced, ranked, circulated, saved, and forgotten within systems that shape both visibility and professional practice. Related work on teacher professionality and digital curation further suggests that instructors are not simply users of educational media, but participants in the interpretive labor through which digital materials are selected, contextualized, and made usable (Ideland 2021; Atenas et al. 2022; Beetham et al. 2022).

What remains less developed is the relationship between these functions under conditions of platformed accumulation. RSS and bookmarking are not important simply because they are useful tools. They are important because they separate functions that platform-centered environments tend to collapse. RSS supports monitoring: the ongoing maintenance of awareness once a source has been identified. Social bookmarking supports organization: the selective retention and indexing of materials judged to have future value. When linked, these practices create an external curatorial infrastructure that compensates for the limited support platforms provide for pedagogical memory, retrieval, and reuse.

The educational problem, then, is not simply that instructors need better digital skills or more efficient tools. It is that platformed media environments redistribute curatorial labor in ways that are easy to overlook. Platforms host, rank, recommend, and circulate materials, but instructors must still identify which sources are worth following, decide which items matter, preserve contextual judgments, and maintain collections that can be used under instructional constraints. In this sense, educational media curation is a form of professional memory work. It preserves the interpretive links among sources, items, concepts, courses, and teaching situations. Platform systems may retain access to media objects, but they rarely retain the pedagogical memory attached to them.

The D-M-O framework builds on PIM and current-awareness research by making these stages explicit. Discovery is episodic and visibility-dependent; monitoring is ongoing and source-oriented; organization is selective and retrieval-oriented. The broader DMORA sequence adds retrieval and application to emphasize that pedagogical value is realized only when curated materials can be found again and integrated into teaching. This perspective also reframes the role of external tools. The framework is technology-agnostic, but it is not functionally indifferent: different tools support different curatorial stages to varying degrees.

3. From Individual Media Objects to Repository-Level Accumulation

Instructional media have often been treated as individual artifacts selected for specific teaching moments. Instructors choose a documentary, assign a podcast episode, screen a film clip, link to a lecture, or locate a short video to illustrate a concept. This item-level approach remains pedagogically valuable, but it does not fully describe the conditions under which educational media now circulate. In platformed environments, instructional media increasingly appear not only as isolated objects, but as parts of accumulating repositories: creator channels, institutional archives, curated playlists, podcast series, documentary collections, public scholarship projects, and other ongoing media streams.

The growth of online instructional video is not merely quantitative. It changes the unit of pedagogical curation. Instructors increasingly confront not only isolated videos but productive repositories that persist, expand, and vary in authority, rhythm, and instructional relevance. This repository-level accumulation makes monitoring and organization central rather than supplementary. The pedagogical question becomes not only “Is this item useful?” but “Is this source worth following, and how can its evolving production be made usable across time?”

For this purpose, we use the term online video repositories to describe publicly accessible collections of videos that persist and grow over time. OVRs may be hosted on commercial platforms, university websites, project pages, institutional archives, or other public-facing infrastructures. Some are formally instructional, with videos organized around concept explanation or course-like sequences. Others are indirectly pedagogical, offering public scholarship, expert commentary, cultural analysis, documentary evidence, testimony, or media critique that instructors may adapt for teaching. What unites them is not a single format or institutional location, but their repository character: they accumulate material in ways that make sustained engagement potentially valuable.

The repository-level perspective also builds on prior cross-disciplinary work on open video repositories, which identified substantial collections of instructional video across the social sciences (Author and Author 2019). Subsequent deeper exploration, especially within sociology, revealed that this earlier mapping had only scratched the surface: many additional repositories were active, accumulating, and pedagogically relevant, even when they were weakly visible through ordinary platform search or disciplinary channels. This experience underscores the need to treat repository-level accumulation not as an incidental feature of online video, but as a curatorial condition in its own right.

Repository-level thinking extends rather than replaces earlier traditions of media curation in higher education. Instructors have long selected films, documentaries, news clips, and other media artifacts to enliven classroom discussion, illustrate abstract concepts, or connect course themes to public life. In sociology, The Sociological Cinema demonstrated the pedagogical value of curating individual videos with teaching applications, learning goals, and critical commentary (Author et al. 2014). The difference is that contemporary platformed media environments have expanded the scale and temporality of the curatorial problem. The challenge is no longer only finding “the right clip” for a particular class session; it is also recognizing, following, and organizing sources that continue producing relevant material over time.

The distinction between item-level and repository-level engagement clarifies why platform-native practices often remain insufficient. Item-level search can be effective when instructors need an immediate example. Repository-level engagement involves a different problem. Once a productive source has been identified, the instructor must decide whether and how to remain aware of new content, how to evaluate additions without constant manual checking, and how to preserve selected materials for later retrieval. The relevant unit of curatorial attention shifts from the media object alone to the source, its production pattern, and its possible future relevance.

Video is the focal case here because it combines public accessibility, rapid accumulation, platform dependence, instructional appeal, and uneven pedagogical organization in especially visible ways. It also reveals how educational media are shaped by multiple authority structures. Some repositories derive legitimacy from universities, research institutes, or professional organizations. Others derive it from creator expertise, lived experience, public engagement, technical skill, ideological coherence, or audience trust. Repository-level curation requires instructors to evaluate these forms of authority while also considering how materials might function pedagogically.

Recognizing instructional media as repository-based changes how we understand curation. Curation is not merely the selection of exemplary items. It is the maintenance of relationships with evolving sources and the construction of systems through which selected materials can be made pedagogically durable. Much of this labor remains invisible because it occurs before the classroom moment in which a video, podcast, or visualization is finally used.

Table 1 provides illustrative examples from sociology and economics. It is not intended as an inventory or ranking. Its purpose is to show how repository-level accumulation varies across disciplinary ecologies and why discovery, monitoring, and organization place different demands on instructors.

Table 1. Illustrative repository ecologies in sociology and economics

Field

Repository type

Illustrative examples

Curatorial issue illustrated

Sociology

Classroom/dialogic archive

SOC 119

Course-based video can accumulate as an archive of interaction, discussion, and pedagogical risk; its value depends on monitoring an evolving record of classroom practice.

Sociology

Public sociology and expert commentary

SociologistRay; Havens Wright Center

Public-facing repositories respond to events, policy debates, and social movements; their relevance changes with public conditions.

Sociology

Media and cultural critique

Pop Culture Detective; Alexander Avila

Sociology-relevant repositories may not be formally branded as sociology but are useful for teaching culture, gender, inequality, and power.

Sociology

Disciplinary memory and professional reflection

Demographile; Snakegrrl Sociology; Prof. David Stuckler

Repositories preserve disciplinary knowledge, professional practice, or scholarly identity.

Economics

Concept explanation and modular instruction

Adam's Axiom; Money & Macro

Repositories organize reusable conceptual explanation.

Economics

Institutional policy translation

Economic Policy Institute; New Economic Thinking

Institutional repositories translate research and policy debates into public-facing media.

Economics

Ideological and public pedagogy

Learn Liberty; Democracy at Work; Unlearning Economics

Repositories make ideological positions explicit and require comparative organization.

Economics

Curated media indexing

Economics Media Library; Radical Discourse

Repositories generate value through curation, remixing, or indexing rather than conventional lecture production.


These examples demonstrate that repositories differ not only in content, but in the kind of curatorial labor they require. Classroom archives may require selective retrieval from long recordings; public commentary repositories require monitoring because their relevance changes with current events; cultural critique repositories may require disciplinary translation; institutional policy repositories require attention to authority and framing; ideological repositories require comparative organization rather than simple adoption. D-M-O is designed to make these differences manageable by separating the work of identifying sources, following their development, and preserving selected materials for later pedagogical use.

4. The D-M-O/DMORA Framework

Repository-level educational media require forms of curatorial labor that platform environments only partially support. Platforms are effective at making content visible through search, recommendation, subscription, notification, and feed-based interfaces, but visibility is not the same as pedagogical durability. A resource becomes pedagogically durable only when it can be noticed, followed, retained, contextualized, retrieved, and applied across teaching situations.

The framework begins with three core activities. Discovery refers to the episodic identification of relevant materials or productive sources. In repository-level contexts, discovery involves recognizing that an underlying source may warrant continued attention. Monitoring refers to the ongoing maintenance of awareness once such a source has been identified. It shifts attention from manually checking to establishing routines or systems that make new production visible over time. Organization refers to the selective retention, annotation, classification, and indexing of materials judged to have future pedagogical value.

These activities differ in temporal structure. Discovery is intermittent and often contingent. Monitoring is ongoing and source-oriented. Organization is cumulative and retrieval-oriented. Platform-centered media environments tend to collapse these functions into episodic retrieval. Search boxes and recommendation systems encourage users to return to the platform each time a need arises. Subscription and saving features provide partial support, but they often remain platform-bound, weakly annotated, poorly integrated across sources, and organized around engagement rather than pedagogical purpose.

This collapse matters because teaching unfolds across longer time horizons than platform interfaces typically foreground. A video encountered in one semester may become relevant in a different course, a future module, a revised assignment, or an unexpected classroom discussion. But this reuse depends on whether the resource was organized in a form that preserves enough context to make it findable and meaningful later. D-M-O therefore reframes the use of instructional media as a problem of pedagogical durability rather than mere access. Access refers to whether materials are accessible. Visibility refers to whether they are surfaced in a particular moment. Durability refers to whether they can be made available for future use while preserving pedagogical context.

The framework’s contribution is diagnostic as well as descriptive. Discovery may fail when useful repositories remain weakly visible. Monitoring may fail when known sources are not systematically revisited. Organization may fail when materials are saved without pedagogical context. Retrieval may fail when collections cannot be searched or interpreted under course-preparation constraints. Application may fail when retrieved materials are not meaningfully integrated into teaching. The framework is therefore less a taxonomy of obvious tasks than a way of locating breakdown points in platformed educational media use.

Although the framework centers on discovery, monitoring, and organization, these activities matter because they support later retrieval and application. Retrieval refers to locating previously identified and organized materials under the temporal and cognitive constraints of teaching. Application refers to integrating retrieved materials into explanations, discussions, illustrations, comparisons, testimony, visualizations, or analyses. Together, these stages form the broader Discovery-Monitoring-Organization-Retrieval-Application sequence. DMORA emphasizes that curation is not complete when an item is saved or a source is monitored. Pedagogical value emerges through the full cycle by which platformed media become durable enough to be retrieved and meaningful enough to be applied.

4.1 Discovery as Visibility-Dependent Encounter

Discovery is the most visible stage of instructional media use because it is the stage most strongly supported by platforms. Search engines, video platforms, recommendation systems, hashtags, trending lists, professional networks, and informal sharing all help users encounter materials. Instructors often begin with a topical need: a concept to illustrate, a contemporary case to explain, a public event to contextualize, or a media object to assign.

Discovery strategies can use platform-native signals deliberately without treating them as sufficient. YouTube hashtags, for example, allow viewers to find videos or playlists connected by a shared tag, either by entering a hashtag in the search bar or by selecting a hashtag attached to a video (YouTube Help n.d.). A search such as #moralpanic may surface clusters of videos, creators, and adjacent repositories that would not appear as readily through ordinary keyword search alone. Such hashtag searching can expose topic-centered pathways into platformed media ecologies, especially for concepts that circulate through public discourse and academic teaching. At the same time, hashtag search remains a discovery practice. It can help instructors identify items and potential sources, but it does not sustain awareness of those sources or preserve pedagogical judgment about selected materials.

Repository-level discovery involves more than finding an item. A useful video may reveal a productive channel; a podcast episode may point to a recurring series; a data visualization may lead to a research center or a public scholarship project. The discovery problem is not only about whether instructors can locate content, but also about whether they can recognize when an encounter should be converted into an ongoing curatorial relationship. Once a productive source has been identified, the more important question becomes how to prevent that source from disappearing back into the platform stream.

4.2 Monitoring as Sustained Source Awareness

Monitoring begins where discovery ends. Once an instructor identifies a source worth following, monitoring helps maintain awareness of its ongoing production. In repository-level media environments, this function is crucial because new materials are continually added. Without monitoring, instructors must either remember to check sources manually or depend on platforms to resurface them later. Memory is limited, and platform visibility is contingent.

Monitoring changes the unit of attention from the individual item to the evolving source. It asks whether a repository continues to produce relevant material, whether its orientation changes, whether new items respond to unfolding events, and whether patterns of production make the source more or less useful for teaching. Monitoring can be light-touch: its function is to make change visible without demanding constant search or immediate evaluation.

Monitoring can be supported through multiple mechanisms. Platform-native subscriptions and notifications, email alerts, newsletters, podcast subscriptions, RSS feeds, and dashboard systems can all help instructors maintain awareness of known sources. This confirms that monitoring is a curatorial function rather than a property of any single tool. However, these mechanisms do not support monitoring in equivalent ways. Platform-native notifications can be useful for alert-based awareness, especially when instructors follow a small number of repositories. But they remain platform-bound, settings-dependent, and variably comprehensive. On YouTube, for example, subscribing to a channel does not necessarily mean that every new item becomes visible to the user in the same way; notification delivery depends on user settings, device settings, account behavior, and platform decisions about how updates are surfaced.

RSS-based monitoring is analytically important because it enables a different kind of visibility. RSS feeds reflect source activity directly: when a monitored repository publishes a new video, post, or episode, the feed records that change as an update from the source itself. Monitoring through RSS therefore tracks the production dynamics of the repository--uploads, silences, bursts of activity, or shifts in output--rather than depending primarily on whether a platform later recommends, ranks, or pushes that item to a user. This makes RSS useful for repository-level curation: it allows instructors to observe the temporal life of a source.

The visibility afforded by RSS depends on the reader or interface used. RSS, as a protocol, enables source-based updates, but dashboard-style readers such as Protopage extend this monitoring capability by organizing multiple selected repositories into a persistent visual workspace. In such systems, instructors can see source activity across a selected ecology of repositories, identify which sources are active or inactive, observe production rhythms, and assess the scale of ongoing accumulation. Other RSS systems may support monitoring through chronological reading lists, filters, archives, or direct notifications. These forms are complementary rather than interchangeable. The point is not that every RSS application provides the same affordances, but that RSS-based systems can separate source awareness from platform recommendation and make monitoring available as an instructor-defined curatorial practice.

4.3 Organization as Externalized Pedagogical Memory

Organization is the stage at which selected materials become durable. It involves deciding which items are worth retaining, recording why they matter, and indexing them in ways that support future retrieval. Organization transforms encountered media into externalized pedagogical memory. Without it, even valuable resources remain vulnerable to forgetting, platform drift, link loss, or repeated reconstruction through search.

The organizational problem is not simply storage. Instructors can save links in browser bookmarks, playlists, learning management systems, cloud documents, citation managers, spreadsheets, email, or platform “watch later” functions. But saving an item does not necessarily preserve the pedagogical judgment attached to it. Why was the item useful? Which concept did it clarify? Was it effective as testimony, illustration, provocation, data visualization, or critique? Did it work in a particular course, or might it be adapted elsewhere? These questions require annotation, tagging, or classification practices that preserve instructional context.

Social bookmarking makes this organizational function visible by allowing instructors to classify and annotate both the OVR itself and selected resources drawn from it. At the repository level, a bookmarked OVR can be linked to a course, topic, disciplinary field, source type, authority structure, production rhythm, or rationale for monitoring. At the item level, a bookmarked video or other media object can be linked to a concept, theoretical frame, pedagogical goal, evaluative judgment, or remembered classroom use. In this sense, social bookmarking supports organization as externalized pedagogical memory: it preserves the instructor’s interpretation of why a source or item matters and how it might be used again. This differs from a simple platform-native “save” affordance, which may keep an item accessible within a platform but typically does not preserve instructor-defined context across courses, topics, sources, repositories, or future teaching situations.

Organization also supports reuse across changing teaching situations. A video saved for one course may become relevant to another; a repository monitored for a current-events unit may later support a theory module; a media critique used as a discussion catalyst may be repurposed as an assignment prompt. In this sense, organization is pedagogical rather than merely administrative. Tags, notes, ratings, and categories do not simply describe materials; they anticipate future teaching situations. Organization creates the bridge between the abundance of platformed media and instructional application.

4.4 Scaling D-M-O Across Instructional Contexts

The demands associated with discovery, monitoring, and organization vary across instructional contexts. In discipline-centered courses, discovery is often relatively bounded. Instructors may identify a core set of professional associations, disciplinary channels, journals, public scholarship projects, or established creators. Once these sources are known, monitoring can stabilize around a manageable number of repositories, and organization can draw on disciplinary categories that already structure the field.

Substantive-topic or problem-centered courses often generate greater curatorial demands. Courses organized around topics such as inequality, climate change, race and ethnicity, public health, migration, media, labor, democracy, or technology draw relevant materials from multiple disciplines, institutional sites, public controversies, and media genres. Their source environments are more heterogeneous and less bounded. Discovery remains ongoing because new repositories, data sources, commentary streams, and documentary projects continually emerge. Monitoring becomes more important because relevant materials may respond directly to unfolding events. Organization becomes more complex because disciplinary categories alone may not provide adequate retrieval pathways.

The scaling problem highlights why D-M-O should not be understood as over-curation or excessive personal system-building. It responds to the structure of the media environment. Where instructional media are abundant, heterogeneous, rapidly changing, and platform-mediated, instructors need ways to maintain awareness and preserve pedagogical judgment without relying on repeated search. The more open-ended and historically responsive a course becomes, the more central monitoring and organization are to pedagogical durability.

5. Monitoring and Organization as External Curatorial Infrastructure

The D-M-O framework identifies distinct curatorial functions, but these functions require infrastructural support to become durable teaching practices. Platform-native systems provide partial support for discovery, subscription, notification, saving, and recommendation, but they rarely preserve the instructor-defined relationships among sources, selected items, pedagogical judgment, course context, and future use. For this reason, instructors often need external curatorial infrastructures: lightweight systems that allow monitoring and organization to be separated, linked, and sustained over time.

The purpose of this section is not to recommend a particular toolset or provide a procedural guide. Rather, it uses specific tools to make visible the functional distinction between monitoring and organization, and to show why that distinction matters for platformed educational media that accumulate through productive repositories.

Having distinguished monitoring from organization in the preceding sections, RSS and social bookmarking can now be understood as complementary supports for different stages of the D-M-O sequence. The need for such infrastructures becomes clear once monitoring and organization are treated as separate but linked forms of curatorial labor. Monitoring requires a way to remain aware of new activity from known sources without repeatedly searching for them or manually checking each repository. Organization requires a way to retain selected sources and materials, annotate their pedagogical value, and index them for future retrieval. When these functions are handled only within platform-native systems, they tend to blur together. Subscribing, saving, liking, creating playlists, and searching may all occur within the same interface, but even together they do not necessarily create the instructor-defined context, cross-source organization, and retrievability required for a durable teaching library. They keep media within reach, but they do not reliably preserve why a source or item mattered, how it might be used, or where it belongs within a broader course ecology.

RSS monitoring and social bookmarking provide one useful example of this distinction. RSS supports monitoring by allowing curators to follow known sources as they publish new material. Rather than relying on memory, repeated search, or algorithmic resurfacing, an instructor can use RSS aggregation to maintain low-cost awareness of activity across multiple repositories. Its value lies not in novelty or popularity, but in its alignment with the temporal structure of monitoring: it is source-based, update-oriented, relatively lightweight, and external to platform recommendation systems.

Although RSS is sometimes treated as a legacy technology, its apparent obsolescence is analytically revealing. What declined was not the need for source-based monitoring, but the cultural visibility of a protocol displaced by platform feeds, subscriptions, and recommendation systems. Under conditions of repository-level accumulation, the function RSS supports remains highly relevant: it allows instructors to monitor sources they have already judged pedagogically significant, rather than waiting for a platform to resurface them. RSS is therefore not invoked here as a nostalgic return to an earlier web, but as a clear example of a monitoring infrastructure whose marginalization helps illuminate the limits of platform-native visibility.

Used together, RSS and social bookmarking operationalize the D-M-O distinction. RSS maintains awareness of repositories after discovery has occurred. Social bookmarking preserves selected sources, items, and the pedagogical judgments attached to them. New content may be monitored without being saved. Saved sources and items may come from monitored repositories, episodic discovery, professional sharing, or prior course use. Separating these functions prevents awareness from being confused with adoption and prevents saving from being confused with organization.

The value of such infrastructure is not limited to individual efficiency. It changes the character of instructional media use. Without monitoring and organization, course preparation often depends on reactive searching: the instructor identifies a need, searches for a resource, evaluates available results, and uses or discards what appears. This can work for isolated teaching moments, but it offers little continuity across semesters. With curatorial infrastructure, instructors can build cumulative teaching libraries. Classroom experience can feed back into notes, tags, and evaluative labels that make later retrieval easier.

External curatorial infrastructures also support pedagogical judgment in ways that platform metrics cannot. Platforms may indicate popularity, recency, watch time, or engagement, but these signals do not necessarily correspond to instructional usefulness. A video with modest public visibility may be highly effective for illustrating a concept; a widely recommended video may be too long, too superficial, too ideologically narrow, or poorly matched to a learning objective. Instructor-defined annotations and tags allow pedagogical relevance to be recorded independently of platform visibility. They preserve local judgments that would otherwise remain tacit or be lost after the immediate teaching moment.

As an operational example, the authors developed a demonstration RSS dashboard and social bookmarking archive organized around illustrative video repositories in sociology and economics. The dashboard aggregates feeds from selected repositories, allowing new uploads to be monitored at the source level rather than rediscovered through repeated platform searches. The bookmarking archive records selected repositories and videos with tags and annotations that preserve pedagogical judgment for later retrieval. These materials are not presented as an evaluated instructional intervention or as a prescribed toolset, but as illustrative infrastructure that makes the D-M-O distinction visible in practice. Demonstration materials have been removed for blind review and will be restored upon publication.

The same logic can support collaborative curation. Departments, teaching teams, faculty learning communities, libraries, or centers for teaching and learning may develop shared repository lists, tagging conventions, or curated teaching libraries. Such systems need not impose uniform pedagogy. They can provide common infrastructure while allowing instructors to adapt materials to specific courses and student populations. Shared curation may be especially valuable in large programs, interdisciplinary fields, or substantive-topic courses where relevant media are widely distributed across platforms and disciplinary boundaries.

The framework is technology-agnostic but not functionally indifferent. RSS readers and social bookmarking systems are examples, not universal prescriptions. Different instructors may use RSS dashboards, platform notifications, email alerts, newsletters, citation managers, shared databases, learning management systems, digital notebooks, AI-assisted search tools, or institutional repositories. These systems vary in durability, portability, cost, and usability. Their pedagogical value depends on whether they support source awareness, selective retention, contextual annotation, and future retrieval.

Emerging AI tools are likely to affect these infrastructures, but they do not eliminate the need for them. AI systems may assist with summarization, tagging, transcription, recommendation, clustering, and retrieval. Yet such tools are most useful when they operate on already identified sources, accumulated collections, and meaningful metadata. AI can accelerate parts of the curatorial process, but it cannot independently determine pedagogical value apart from instructional purpose, course context, student needs, or disciplinary judgment. In this sense, AI is better understood as a possible layer within curatorial infrastructure than as a replacement for curation.

6. Discussion and Conclusion: Curation, Platform Dependency, and Pedagogical Durability

Platformed media environments have transformed the conditions under which instructional resources are found, followed, preserved, and reused. The problem instructors face is not simply that there is too much content, nor that instructors lack access to useful materials. The deeper issue is that platform systems make media visible without necessarily making them pedagogically durable. They facilitate search, recommendation, subscription, notification, and circulation, but they provide limited support for the cumulative work of monitoring sources, preserving instructional judgment, organizing across contexts, retrieving under teaching constraints, and applying in meaningful pedagogical situations.

The framework’s broader relevance is tied to the rise of repository-level accumulation. Earlier approaches to instructional video often centered on individual media objects: a clip, documentary, lecture, or short video selected for a particular class. That model remains useful, but it no longer captures the structure of platformed media. Online video repositories now multiply and continue producing. Their pedagogical significance lies not only in the items they contain, but in their status as evolving sources. As the unit of curation shifts from isolated media objects to productive repositories, monitoring becomes central rather than optional. Repository-level accumulation therefore transforms curation from the selection of individual instructional materials into the management of ongoing relationships with productive sources.

This shift helps explain why D-M-O is more than a commonsense list of curatorial tasks. The individual activities it names are familiar, but repository-level accumulation makes their differentiation newly consequential. When an instructor uses a single clip once, discovery and application may appear to exhaust the problem. When instructors work with many productive repositories across courses and semesters, discovery, monitoring, organization, retrieval, and application become distinct sites of possible failure. The framework identifies where platformed media fail to become durable teaching resources and what kinds of infrastructural support are needed at each stage.

The framework also shows why platform visibility should not be mistaken for educational value. Platforms organize attention through metrics, recommendations, personalization, ranking, notifications, and interface design. These systems can surface useful materials, but they do not evaluate resources in terms of course aims, disciplinary expectations, student needs, or pedagogical timing. A highly visible item may have limited instructional value; a weakly visible repository may become central to a course once it is recognized, monitored, and organized. Pedagogical relevance is therefore not bestowed by the platform. It is produced through instructor judgment and sustained through curatorial infrastructure.

This mismatch should not be understood only as a failure of platform design, nor does it require assuming that platforms intentionally undermine pedagogical curation. It reflects a deeper difference between the logics of platform visibility and the requirements of professional memory. Commercial platforms have strong incentives to support discovery, circulation, recommendation, and repeated return, because these activities sustain engagement and generate data about user behavior. But even apart from profitability, platform environments often embody a philosophy of media use in which knowledge remains continually searchable, streamable, personalized, and refreshed. In such environments, the user is encouraged to encounter, follow, save, and rediscover, but not necessarily to build durable, portable, instructor-defined systems of accumulation. D-M-O/DMORA highlights this structural gap. What instructors need is not merely continued access to media objects, but the preservation of pedagogical judgment across time: why a source mattered, how an item was interpreted, where it belongs in a course ecology, and when it might be useful again.

More broadly, the framework suggests that access, visibility, and durability should be treated as analytically distinct conditions. Educational resources may remain accessible for years and become highly visible through platform systems while still failing to become pedagogically durable. Durability depends on preserving the contextual knowledge that allows resources to be meaningfully reused across time. From this perspective, pedagogical durability is not primarily a property of individual memory. It emerges from infrastructures that externalize professional memory by preserving relationships among sources, concepts, courses, and prior instructional judgments. The significance of D-M-O/DMORA therefore lies not in advocating particular tools, but in identifying the functions through which educational media become durable. RSS and social bookmarking are useful examples because they make the distinct curatorial functions of monitoring and organization analytically visible. Future infrastructures—including AI-assisted systems—may support the same functions through different technical means while serving the same broader goal of sustaining professional memory.

The apparent anachronism of RSS is instructive in this regard. RSS is not significant here because it is novel, fashionable, or sufficient as a general solution to educational media curation. Its significance lies in the curatorial function it performs. It supports source-based monitoring at precisely the moment when platformed media have become increasingly repository-based. Its overall decline in mainstream visibility reflects the rise of platform onfeeds and recommendation systems, not the disappearance of the monitoring problem it was designed to address. In this sense, RSS helps clarify a broader argument: platformed media environments make content visible, but they do not necessarily support instructor-defined awareness of productive sources over time.

This argument extends beyond video. Podcasts, newsletters, public lectures, open educational resources, interactive graphics, data dashboards, and other digital materials share repository-like features when they persist and accumulate over time. They all raise similar questions: How are useful sources discovered? How is new production monitored? How are selected items retained? How is pedagogical judgment preserved? How can materials be retrieved later, and how are they translated into teaching? D-M-O provides a vocabulary for analyzing these questions across media formats.

The framework also has implications for how institutions understand the labor of teaching. Finding, following, evaluating, annotating, and organizing educational media typically occur outside the classroom and outside formal measures of instructional preparation, yet they shape what students encounter, how current examples enter courses, how instructors adapt to changing conditions, and how teaching materials accumulate across semesters. Treating curation as pedagogical labor also reframes it as a problem of professional memory. Under conditions of media abundance, the central challenge is less the availability of content than the preservation and application of pedagogical judgment. What is lost when platform visibility substitutes for durable organization is not only a link or file, but the accumulated judgment that made a resource pedagogically meaningful: why a source mattered, how an item worked in class, which concepts it supported, and what future teaching situations it might serve. D-M-O/DMORA names the stages through which this memory can be preserved rather than continually reconstructed.

Future research could examine how D-M-O practices vary across disciplines, institutional settings, national contexts, or media formats. Design-based studies could investigate how instructors build and maintain curatorial infrastructures over time. Studies of collaborative curation could explore how departments, libraries, teaching centers, or professional associations support shared monitoring and organization. Research on AI-assisted educational media systems could examine when automation reduces curatorial burden and when it reintroduces opacity, platform dependency, or the collapse of distinct stages into apparently seamless retrieval.

Ultimately, the contribution of D-M-O/DMORA is to show that pedagogical curation under conditions of platformed accumulation is not a single act of finding, saving, or using content. It is a sequence of curatorial practices through which productive sources are discovered, monitored, organized, retrieved, and applied. As online instructional repositories multiply and continue producing, the unit of pedagogical attention shifts from isolated media items to evolving sources. The central challenge for instructors, institutions, and educational media scholarship is therefore not only how to expand access to digital resources, but also how to make them pedagogically durable.


Ethics and Data Statement

This manuscript is conceptual and methodological in nature and does not report original human-subjects research. No new datasets were generated or analyzed for this study.

Declaration of Generative AI Use

ChatGPT was used during manuscript preparation to support revision, organization, compression, and clarity of expression. The authors made all substantive decisions and take full responsibility for the manuscript’s content, arguments, citations, interpretations, and conclusions.

Disclosure Statement

The authors report no conflicts of interest.


References

ACRL. 2016. Framework for Information Literacy for Higher Education. Association of College and Research Libraries.

Author et al. 2014. [Details omitted for peer review.]

Atenas, Javiera, Helen Beetham, Frances Bell, Catherine Cronin, Joana Vu Henry, and Sukaina Walji. 2022. “Feminisms, Technologies and Learning: Continuities and Contestations.” Learning, Media and Technology 47(1):1-10. https://doi.org/10.1080/17439884.2022.2041830

Attwell, Graham. 2007. “Personal Learning Environments: The Future of eLearning?” eLearning Papers 2(1):1-8.

Bawden, David, and Lyn Robinson. 2009. “The Dark Side of Information: Overload, Anxiety and Other Paradoxes and Pathologies.” Journal of Information Science 35(2):180-91. https://doi.org/10.1177/0165551508095781

Beetham, Helen, Louise Drumm, Frances Bell, Lou Mycroft, and Gillian Forsythe. 2022. “Curation and Collaboration as Activism: Emerging Critical Practices of #FemEdTech.” Learning, Media and Technology 47(1):143-155. https://doi.org/10.1080/17439884.2021.2018607

Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, and Margaret Mitchell. 2021. “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610-23.

Bennett, Sue, Karl Maton, and Lisa Kervin. 2008. “The ‘Digital Natives’ Debate: A Critical Review of the Evidence.” British Journal of Educational Technology 39(5):775-86. https://doi.org/10.1111/j.1467-8535.2007.00793.x

Boardman, Richard, and M. Angela Sasse. 2004. “‘Stuff Goes into the Computer and Doesn’t Come Out’: A Cross-Tool Study of Personal Information Management.” Pp. 583-90 in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM. https://doi.org/10.1145/985692.985766

Burgess, Jean, and Joshua Green. 2009. YouTube: Online Video and Participatory Culture. Polity Press.

Case, Donald O., and Lisa M. Given. 2016. Looking for Information: A Survey of Research on Information Seeking, Needs, and Behavior. 4th ed. Emerald Group Publishing.

Cunningham, Stuart, and David Craig. 2019. Social Media Entertainment: The New Intersection of Hollywood and Silicon Valley. New York University Press.

Dabbagh, Nada, and Anastasia Kitsantas. 2012. “Personal Learning Environments, Social Media, and Self-Regulated Learning: A Natural Formula for Connecting Formal and Informal Learning.” The Internet and Higher Education 15(1):3-8.

Downes, Stephen. 2005. “E-Learning 2.0.” eLearn Magazine 2005(10).

Drexler, Wendy. 2010. “The Networked Student Model for Construction of Personal Learning Environments: Balancing Teacher Control and Student Autonomy.” Australasian Journal of Educational Technology 26(3):369-85.

Fyfield, Matthew, Michael Henderson, Eva Heinrich, and Petrea Redmond. 2021. “Videos in Higher Education: Making the Most of a Good Thing.” Australasian Journal of Educational Technology 37(4):1-7. https://doi.org/10.14742/ajet.5930

Head, Alison J., and Michael B. Eisenberg. 2010. Truth Be Told: How College Students Evaluate and Use Information in the Digital Age. Project Information Literacy.

Head, Alison J., and Michael B. Eisenberg. 2011. “How College Students Use the Web to Conduct Everyday Life Research.” First Monday 16(4). https://doi.org/10.5210/fm.v16i4.3484

Ideland, Malin. 2021. “Google and the End of the Teacher? How a Figuration of the Teacher Is Produced through an Ed-Tech Discourse.” Learning, Media and Technology 46(1):33-46. https://doi.org/10.1080/17439884.2020.1809452

Jacques, Jerry, Baptiste Campion, and René Leger. 2021. “The Search for Videos to Be Used in a Higher Education Context.” Journal of Documentation 77(3):721-38. https://doi.org/10.1108/JD-06-2020-0103

Jones, William. 2007. Keeping Found Things Found: The Study and Practice of Personal Information Management. Morgan Kaufmann.

Jones, William. 2008. “Personal Information Management.” Annual Review of Information Science and Technology 41:453-504. https://doi.org/10.1002/aris.2007.1440410117

Jones, William. 2012. The Future of Personal Information Management, Part I: Our Information, Always and Forever. Morgan & Claypool.

Kerssens, Niels, and José van Dijck. 2021. “The Platformization of Primary Education in The Netherlands.” Learning, Media and Technology 46(3):250-263. https://doi.org/10.1080/17439884.2021.1876725

Kerssens, Niels, T. Philip Nichols, and Luci Pangrazio. 2024. “Googlization(s) of Education: Intermediary Work Brokering Platform Dependence in Three National School Systems.” Learning, Media and Technology 49(3):478-491. https://doi.org/10.1080/17439884.2023.2258339

Kirkwood, Adrian, and Linda Price. 2014. “Technology-Enhanced Learning and Teaching in Higher Education: What Is ‘Enhanced’ and How Do We Know? A Critical Literature Review.” Learning, Media and Technology 39(1):6-36. https://doi.org/10.1080/17439884.2013.770404

Kirschner, Paul A., and Pedro De Bruyckere. 2017. “The Myths of the Digital Native and the Multitasker.” Teaching and Teacher Education 67:135-42. https://doi.org/10.1016/j.tate.2017.06.001

Lobato, Ramon. 2019. Netflix Nations: The Geography of Digital Distribution. New York University Press.

Macgilchrist, Felicitas. 2021. “What Is ‘Critical’ in Critical Studies of Edtech? Three Responses.” Learning, Media and Technology 46(3):243-249. https://doi.org/10.1080/17439884.2021.1958843

Macgilchrist, Felicitas, John Potter, and Ben Williamson. 2021. “Shifting Scales of Research on Learning, Media and Technology.” Learning, Media and Technology 46(4):369-376. https://doi.org/10.1080/17439884.2021.1994418

Author. 2011. [Details omitted for peer review.]

Author. 2016. [Details omitted for peer review.]

Author and Author. 2019. [Details omitted for peer review.]

Mu, Cuiying. 2008. “RSS Feeds and Social Bookmarking in Library Services.” Reference Services Review 36(4):396-408. https://doi.org/10.1108/0090732081092035

Mu, Cuiying, and M. Kathleen Kern. 2011. “Teaching Information Literacy Using Social Media.” Journal of Information Literacy 5(2):21-35.

Noble, Safiya Umoja. 2018. Algorithms of Oppression: How Search Engines Reinforce Racism. New York University Press.

Palmer, S., and April M. Schueths. 2013. “Online Communities and Informal Learning.” Journal of Educational Technology & Society 16(2):173-86.

Prensky, Marc. 2001. “Digital Natives, Digital Immigrants.” On the Horizon 9(5):1-6. https://doi.org/10.1108/10748120110424816

Selwyn, Neil. 2016. Is Technology Good for Education? Cambridge: Polity Press.

Tenopir, Carol, Rachel Volentine, and Donald W. King. 2013. “Social Media and Scholarly Reading.” Online Information Review 37(2):193-216.

van Dijck, José, Thomas Poell, and Martijn de Waal. 2018. The Platform Society: Public Values in a Connective World. New York: Oxford University Press.

Weller, Martin. 2020. 25 Years of Ed Tech. Athabasca University Press.

Whittaker, Steve. 2011. “Personal Information Management: From Information Consumption to Curation.” Annual Review of Information Science and Technology 45:1-62. https://doi.org/10.1002/aris.2011.1440450101

YouTube Help. n.d. “Find Videos Using Hashtags.” Google Help. Retrieved June 2, 2026. https://support.google.com/youtube/answer/10806146

8-7-26 Master - Miller & CohenMiller

1. Introduction Over the past two decades, the ecology through which educational knowledge is produced, distributed, and encountered has un...