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Generative AI for Enhancing Active Learning in Education:A Comparative Study of GPT-3.5 and GPT-4 in CraftingCustomized Test Questions

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Published onMay 27, 2024
Generative AI for Enhancing Active Learning in Education:A Comparative Study of GPT-3.5 and GPT-4 in CraftingCustomized Test Questions
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Abstract

This study investigates how LLMs, specifically GPT-3.5 and GPT-4, can develop tailored questions for Grade 9 math, aligning with active learning principles. By utilizing an iterative method, these models adjust questions based on difficulty and content, responding to feedback from a simulated 'student' model. A novel aspect of the research involved using GPT-4 as a 'teacher' to create complex questions, with GPT-3.5 as the 'student' responding to these challenges. This setup mirrors active learning, promoting deeper engagement. The findings demonstrate GPT-4's superior ability to generate precise, challenging questions and notable improvements in GPT-3.5's ability to handle more complex problems after receiving instruction from GPT-4. These results underscore the potential of LLMs to mimic and enhance active learning scenarios, offering a promising path for AI in customized education. This research contributes to understanding how AI can support personalized learning experiences, highlighting the need for further exploration in various educational contexts.

Article ID: 2024L29

Month: May

Year: 2024

Address: Online

Venue: The 37th Canadian Conference on Artificial Intelligence

Publisher: Canadian Artificial Intelligence Association

URL: https://caiac.pubpub.org/pub/kmn55wd2


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