Bringing Generative AI to Adaptive Learning in Education
CoRR(2024)
摘要
The recent surge in generative AI technologies, such as large language models
and diffusion models, have 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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