Friday, June 5, 2026

**MCM 6.5.26

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


Abstract

Platformed educational media environments have expanded access to instructional resources, but visibility alone does not make media pedagogically durable. This article develops 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. The article contributes 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.

This article develops 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. The article also extends 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 the article focuses 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.

The contribution of this article is conceptual and methodological rather than evaluative. It does not test the effectiveness of a particular platform, tool, or instructional intervention. Instead, it offers a framework for understanding the curatorial labor required to work with educational media under conditions of continuous digital accumulation. The sections that follow 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.

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 (Andrist 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 OVR Ecologies for 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 maintains awareness of its continuing production. In repository-level media environments, this function is crucial because new materials are added over time. 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 makes a different kind of visibility possible. 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 as 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 function by arranging multiple selected repositories in a persistent visual workspace. In such systems, instructors can see source activity across a selected ecology of repositories, notice which sources are active or inactive, observe rhythms of production, and recognize 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 media from encountered content 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 because it allows 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 platformed media abundance 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 a 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 are available at https://www.protopage.com/2026millercohenmiller#OVRs_Sociology, https://www.protopage.com/2026millercohenmiller#OVRs_Economics, and https://pinboard.in/u:2026millercohenmiller/.

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 educational 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 educational media visible without necessarily making them pedagogically durable. They support search, recommendation, subscription, notification, and circulation, but they provide limited support for the cumulative work of monitoring sources, preserving instructional judgment, organizing materials across contexts, retrieving them under teaching constraints, and applying them 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 educational 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.

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 educational 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, and interface design. These systems can surface useful materials, but they do not evaluate resources according to 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 given by the platform. It is produced through instructor judgment and sustained through curatorial infrastructure.

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 isolates. It supports source-based monitoring at precisely the moment when platformed educational media have become increasingly repository-based. Its decline in mainstream visibility reflects the rise of platform feeds 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 educational 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 teaching labor. The labor of finding, following, evaluating, annotating, and organizing educational media often occurs outside the classroom and outside formal measures of instructional preparation, yet it shapes 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. 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 how to make accumulating resources pedagogically durable.

Ethics and data statement

This article 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

AI-assisted tools were 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 article’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.

Andrist, Lester, Valerie Chepp, Paul Dean, and Michael V. Miller. 2014. “Toward a Video Pedagogy: A Teaching Typology with Learning Goals.” Teaching Sociology 42(3):196-206.

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

Miller, Michael V. 2011. “A System for Integrating Online Multimedia into College Curriculum.” MERLOT Journal of Online Learning and Teaching 7(2):1-19. http://jolt.merlot.org/vol7no2/miller_0611.htm

Miller, Michael V. 2016. “Accessing Emergent Online Content via RSS.” In Promoting Sociological Research: A Toolkit, edited by Matthew Wray, Jessie Daniels, and Tina Fetner. Washington, DC: American Sociological Association.

Miller, Michael V., and Anna S. CohenMiller. 2019. “Open Video Repositories for College Instruction: A Guide to the Social Sciences.” Online Learning 23(2):201-17. https://doi.org/10.24059/olj.v23i2.1492

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

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