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 coherent 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 study grounded in constructivist qualitative inquiry.
Constructivism provides the interpretive stance. Meaning is treated as situated and co-constructed through experience, language, role, and institutional context. Sensemaking gives the research questions their movement by asking how participants notice cues in ambiguous conditions, interpret them through available frames, form plausible accounts, and act on those accounts.
Classroom-facing educators, building-level administrators, district or system-level leaders, and adult university students provide participant perspectives. Interviews, card-sort explanations, documents, and open-ended survey responses form the qualitative core. Closed-ended survey items and NCES/RAND data provide supporting context. AI-generated texts remain a distinct nonparticipant comparison source.
The traditions in Section II become an analytic scaffold, not finished findings. Media ecology and the learning sciences supply sensitizing concepts, the equity tradition keeps the productive-versus-exclusionary distinction open to participant interpretation, and the AI-context sources explain why the inquiry is urgent now.
Constructivism explains how meaning is understood, sensemaking explains what the questions ask, and thematic analysis explains how patterns are developed across accounts. Current methodology alignment
The study asks how people interpret changing educational conditions. First-pass coding stays close to participant language. Second-pass analysis develops themes across roles and sources. The Pedagogical Friction Framework sensitizes attention but remains open to revision through inductive themes, discrepant accounts, divergence, and silence.