The Algorithmic Lecture Hall: Rethinking Pedagogy in the Age of AI and Student Diversity

Tangirova Sevara Rustamovna

Toshkent Ijtimoiy Innovatsiyalar Universiteti o‘qituvchisi

Keywords: Keywords: Higher Education; Generative AI; Academic Integrity; Differentiated Instruction; Heterogeneous Classrooms; Assessment Reform; Metacognition; Faculty Development

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Abstract

The massification of higher education has produced lecture halls containing students from dozens of countries, varying linguistic proficiencies, disparate prior educational backgrounds, and diverse neurocognitive profiles. Into this already complex environment, generative artificial intelligence has arrived, upending traditional assessment models. This policy brief argues that the conventional "one-size-fits-all" lecture, combined with take-home essays and standardized examinations, is structurally incapable of serving heterogeneous university populations. Drawing on institutional data from 14 research universities and a meta-analysis of AI-detection efficacy studies, the brief proposes a tiered pedagogical framework that distinguishes between foundational, intermediate, and advanced competencies.

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