AI-Augmented Pedagogy in Higher Education
An Ethical and Equitable Frameworkfor the Governance and Operational Integration of AI in Teaching and Learning
DOI:
https://doi.org/10.55420/2693.9193.v16.n2.369Keywords:
artificial intelligence, adaptive learning systems, metacognitive scaffolding, algorithmic accountability, educational equity, epistemic AI fluencyAbstract
Higher education faces a convergence of pressures that no single institutional response has yet resolved: widening demographic diversity, pandemic-exposed structural fragility, and the persistent inequity of whose learning gets supported and how. Artificial intelligence has entered this landscape not as an optional enhancement but as an infrastructural reality—embedded in adaptive platforms, feedback systems, and early-alert protocols at institutions worldwide. Yet adoption has consistently outpaced governance, and tools celebrated for democratizing access carry real risks of encoding and amplifying the inequities they promise to address. This article introduces the AI-Augmented Pedagogy (AAP) framework, developed through a Sequential Explanatory Mixed-Methods Design grounded in a systematic synthesis of 312 peer-reviewed empirical studies, 68 institutional policy documents, and 26 grey literature sources. The framework is theoretically principled and empirically informed; its direct causal claims require prospective validation. Seven pillars structure the framework: Cognitive Symbiosis, Dynamic Cognitive Modulation, Interpretable Intelligence, Transdisciplinary Synthesis, Metacognitive Scaffolding, Embedded Moral Cognition, and Generative Knowledge with Critical Co-Creation. Synthesized studies report AI-mediated adaptive feedback effects of d = 0.40–0.76, modality-specific retention gains of 3.5–4.5 percentage points, and an approximately 38% reduction in routine instructional time. Original contributions include a Developmental Progression Model, a full-spectrum transparency mandate, a HECVAT-aligned tool-vetting protocol, and a proposed Epistemic Fluency Index to support cross-study comparison.
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