AI summary · arXiv: 2412.18617v1 · physics.ed-ph

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

Dimitrios Gousopoulos
Original paper Submitted to arXiv on 13 Dec. 2024 License: CC BY 4.0

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The essentials

  • Generative Artificial Intelligence (GenAI) is valuable in various fields, including marketing, finance, project management, and education.
  • In education, GenAI tools assist teachers in creating tailored educational materials and providing personalized learning experiences for students based on their individual needs.
  • The development of a custom GPT (IBL Educator GPT) designed for physics teachers incorporates principles of Inquiry-based Learning.
  • A pilot study involving fourteen science educators tested the capabilities of the IBL Educator GPT.
  • Results showed a positive shift in teachers' attitudes towards adopting AI tools in the classroom.
  • Teachers acknowledged that AI can assist them in tasks such as lesson planning, activity creation, and professional development.
  • Statistical analysis revealed a significant improvement in post-test rankings compared to pre-test rankings after using the IBL Educator GPT.
  • Embracing AI technology in education can help teachers enhance instructional practices and provide more personalized learning experiences for students.

Key points written by AI: they may contain errors, check them against the paper.

AI-generated keywords: Generative Artificial Intelligence Education IBL Educator GPT Personalized Learning Teachers

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  • Original abstract
Generative Artificial Intelligence (GenAI) has become a valuable tool in various fields, including marketing, finance, project management, and education. In the realm of education, GenAI tools have been developed to assist teachers in creating tailored educational materials and providing personalized learning experiences for students based on their individual needs. This paper focuses on the development of a custom GPT (IBL Educator GPT) specifically designed for physics teachers, incorporating principles of Inquiry-based Learning. The offers a framework for physics educators to interact with ChatGPT and design innovative teaching strategies. A pilot study was conducted involving fourteen science educators who tested the capabilities of the . Before and after using the tool, participants completed a questionnaire with questions selected from validated instruments in education to assess their perspectives on artificial intelligence-based tools for personalizing teaching. The results of the study indicated a positive shift in teachers' attitudes towards adopting AI tools in the classroom. Teachers acknowledged that AI can assist them in tasks such as lesson planning, activity creation, and professional development. Statistical analysis using the Wilcoxon signed rank test revealed a significant improvement in post-test rankings compared to pre-test rankings. Overall, this study highlights the potential of GenAI tools like the as valuable teaching assistants that help educators save time on daily tasks while offering diverse perspectives on educational phases. By embracing AI technology in education, teachers can enhance their instructional practices and provide more personalized learning experiences for students.

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