Rethinking Education in the Age of Generative AI: Cognitive Offloading, Assessment Reform, and Institutional Adaptation

As generative AI tools reshape how students think, write, and solve problems, education systemsare faced with a pivotal choice: restrict or reform. This conceptual paper argues for reformthrough three interconnected lenses—pedagogical transformation, curriculum redesign, andinstitutional adaptation, grounded in the theories of cognitive offloading and critical pedagogy.Drawing on both historical parallels and contemporary research, we demonstrate that generativeAI, when thoughtfully integrated, can support rather than undermine learning, creativity, andstudent agency. The paper critiques policy responses centered on bans and academic integrity,and instead proposes inclusive, ethical, and process-centered uses of AI in the classroom. Keyrecommendations include embedding critical AI literacy across curricula, redesigningassessments to reward intellectual effort, and supporting educators through policy innovation andprofessional development. We conclude by outlining future research directions to betterunderstand how generative AI is reshaping cognitive development, student learning, and theinstitutional structures of education.

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Publication Details

Published
2025-10-03
DOI
https://doi.org/10.35542/osf.io/zakwe_v2
Primary Topic
Engineering Education and Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

Rethinking Education in the Age of Generative AI: Cognitive Offloading, Assessment Reform, and Institutional Adaptation

Nikhil Jain, M. C. Kiran
Engineering Education and Technology
article

Rethinking Education in the Age of Generative AI: Cognitive Offloading, Assessment Reform, and Institutional Adaptation

Nikhil Jain, M. C. Kiran
article en

Abstract

As generative AI tools reshape how students think, write, and solve problems, education systemsare faced with a pivotal choice: restrict or reform. This conceptual paper argues for reformthrough three interconnected lenses—pedagogical transformation, curriculum redesign, andinstitutional adaptation, grounded in the theories of cognitive offloading and critical pedagogy.Drawing on both historical parallels and contemporary research, we demonstrate that generativeAI, when thoughtfully integrated, can support rather than undermine learning, creativity, andstudent agency. The paper critiques policy responses centered on bans and academic integrity,and instead proposes inclusive, ethical, and process-centered uses of AI in the classroom. Keyrecommendations include embedding critical AI literacy across curricula, redesigningassessments to reward intellectual effort, and supporting educators through policy innovation andprofessional development. We conclude by outlining future research directions to betterunderstand how generative AI is reshaping cognitive development, student learning, and theinstitutional structures of education.

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Engineering Education and Technology
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