A guided passage through the sources behind the Pedagogical Friction Framework, organized not by alphabet or chronology but by the four traditions whose intersection makes the argument possible. First built for the qualifying paper, this literature now functions as the theoretical apparatus for the dissertation proposal. Click any source. Trace any claim. Watch how the constructs depend on one another.
Use this companion to read the literature by function: traditions, constructs, claims, or gaps. Each route foregrounds a different kind of committee question.
Start with the orientation, then use the source explorer and argument tracer to see which sources warrant which claims.
A literature review can be read as a list of credentials, a chronology of contributions, or, most usefully, as a structural account of which sources warrant which claims. This companion organizes the literature by function: diagnostic frame, evaluative standard, equity check, and contemporary AI context.
The qualifying paper is unusually transparent about this division. Ong provides the primary theoretical foundation because his work explains how communication technologies reshape consciousness, memory, interpretation, and symbolic life. McLuhan and Postman situate Ong within the broader media ecology tradition, while Stiegler provides complementary language for externalized memory and technological mediation.
The learning-science sources, especially Kapur, Bjork and Bjork, and Sweller, perform a different function. They do not prove the media-ecological claim; they explain why bypassing interpretive and compositional labor matters educationally. Critical and disability studies sources then keep the framework from mistaking inherited exclusion for productive difficulty.
Two intellectual traditions that rarely cite each other, Ong's media ecology and the learning sciences of Kapur, Bjork, and Sweller, are combined to fill a documented gap. Section VI, the paper's own statement of contribution
The paper draws on four scholarly traditions, each performing a structurally different role in the argument. None substitutes for another.
Click any source to see what it contributes, where in the argument it appears, and the specific work the citation does.
The concept map shows how the paper's constructs depend on one another. I corrected the original map viewport so the lower friction nodes now render inside the visible SVG instead of falling below the frame.
Each claim below is load-bearing in the qualifying paper. Selecting one expands the chain of moves and citations that warrant it.
The paper maps seven scholarly proposals for tertiary orality and shows that none addresses the categorical condition introduced by generative AI: symbolic content generated by systems that have never had an experience.
Tertiary orality extends Ong along the axis of broadcast to interactive/networked communication. Generative AI breaks along a different axis: human versus algorithmic origination of symbolic content. The terminological choice, algorithmicity rather than orality, marks the recognition that the oral-literate continuum no longer captures the primary transformation underway.
A literature review is also an account of its own limits. The framework draws heavily on Ong, whose work emerged from Western, Christian, humanist intellectual traditions; the analysis reflects the technological landscape of 2025-2026; and the focus on preserving cognitive struggle reflects a technoskeptical disposition that other scholars might frame differently.
The disability studies critique is the most analytically consequential limit-acknowledgment. The framework commits to friction preservation only after asking who decides which friction is productive, whose cognitive processes count as default, and whose accommodations become classified as bypass rather than access.
Reflexivity is also methodological. The author writes as a district Director of Innovation and Technology observing AI use across five school sites. That vantage produces specificity and a blind spot: the framework may undercount ways generative AI creates genuinely new possibilities for learning that do not fit the friction model. That same vantage informs the dissertation proposal that follows, though its case is bounded conceptually by the framework and temporally by the public availability of generative AI, not by any single site (see Section VIII).
The value of this framework lies in its capacity to name what is educationally at stake when the default tendency of a media environment is to eliminate productive struggle. Section VI.C, the paper's reflexive close
A literature review earns its keep when it hands a design to the study that follows. The gap named in Section VI is conceptual; the dissertation proposal answers it empirically through a qualitative-dominant convergent mixed methods case study in Merriam's interpretive tradition.
The case is K-12 educator and institutional sensemaking about pedagogical friction under conditions of generative AI, bounded conceptually by the Pedagogical Friction Framework and temporally by the period following the public availability of generative AI, rather than by a single site. Merriam supplies the controlling fit: a qualitative case study is, in her terms, particularistic, descriptive, and heuristic, suited to a problem of practice and read as interpretation in context. Chapter Three defends why Merriam's interpretive tradition fits this aim where Yin and Stake do not, though both remain useful comparison lenses.
The four traditions in Section II do not disappear at this transition; they become the analytic scaffold. Media ecology and the learning sciences supply the constructs the case sets out to observe, the equity tradition keeps the productive-versus-exclusionary friction distinction honest in the field, and the AI-context sources establish why the bounded setting is urgent now. The constructs mapped in Section IV become candidate codes, not finished findings.
A qualitative case study is an intensive, holistic description and analysis of a single instance, phenomenon, or social unit. Merriam, Qualitative Research and Case Study Applications in Education
The dissertation studies a conceptually and temporally bounded case, not a single site, and it seeks descriptive, thematic understanding of how educators and school-system actors make meaning of pedagogical friction. That is the work Merriam's interpretive case tradition is built for. The mixed-methods strands, quantitative, learner-perspective, and AI-artifact, support the qualitative-dominant case through triangulation and joint displays rather than redefining it. Yazan's (2015) comparison of Yin, Merriam, and Stake provides the basis for keeping this language precise without overclaiming.