Developing a custom GPT based on Inquiry Based Learning for Physics Teachers

TL;DR

This paper introduces a custom GPT model based on Inquiry-Based Learning to assist physics teachers in designing educational strategies, enhancing their perspectives on AI tools for personalized teaching.

Contribution

The paper presents the development of IBL Educator GPT, a novel AI tool tailored for physics education that supports teachers in creating inquiry-based learning strategies.

Findings

Improved teachers' perspectives on AI adoption.

Enhanced ability to design inquiry-based physics lessons.

Potential for personalized physics education through AI.

Abstract

Generative Artificial Intelligence (GenAI) has emerged as a valuable assistant in many fields such as marketing, finance, project management, and education. In education, many GenAI tools have been developed to aid teachers in preparing proper educational material and offering personalized learning to their students, tailored to their educational needs. In this paper, we present a custom GPT (IBL Educator GPT) that is designed and developed based on Inquiry-based Learning and offers physics teachers a framework in which they can interact with ChatGPT and design educational strategies. The utilization of the IBL Educator GPT has led to an improvement in teachers' perspectives regarding the adoption of artificial intelligence-based tools for personalizing teaching.