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Bringing Generative AI to Adaptive Learning in Education

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arxiv 2402.14601 v3 pith:XSZTR3ES submitted 2024-02-02 cs.CY cs.AIcs.HCcs.LG

Bringing Generative AI to Adaptive Learning in Education

classification cs.CY cs.AIcs.HCcs.LG
keywords learningadaptiveeducationgenerativedevelopmentmodelsapplicationsargue
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The recent surge in generative AI technologies, such as large language models and diffusion models, has boosted the development of AI applications in various domains, including science, finance, and education. Concurrently, adaptive learning, a concept that has gained substantial interest in the educational sphere, has proven its efficacy in enhancing students' learning efficiency. In this position paper, we aim to shed light on the intersectional studies of these two methods, which combine generative AI with adaptive learning concepts. By presenting discussions about the benefits, challenges, and potentials in this field, we argue that this union will contribute significantly to the development of the next-stage learning format in education.

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Cited by 7 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

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