A guided passage through the sources that ground the qualifying paper, organized not by alphabet or chronology but by the four traditions whose intersection makes the argument possible. Click any source. Trace any claim. Watch how the constructs depend on one another.
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.
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