Comparative Analysis of ChatGPT and Gemini; Implications for Junior High School Physics Education: Opportunities and Ethical Challenges

Abstract

Artificial intelligence (AI) is transforming education, offering tools that promise enhanced engagement and understanding for students and teachers alike. This study examines the educational potential of Google’s Gemini in comparison with OpenAI’s ChatGPT, focusing on junior high school physics education. By using hydrostatic pressure and fractal theory as a case study, both platforms were evaluated based on their ability to generate accurate lesson plans, identify and address misconceptions, and adapt to diverse educational needs. ChatGPT excelled in addressing student misconceptions and providing detailed visual aids, fostering a deeper understanding of the topic. Gemini’s multimodal capabilities demonstrated promise in integrating various media but highlighted challenges in conceptual depth and accuracy. This analysis underscores the need for critical evaluation of AI tools to optimize their implementation in educational settings, ensuring they complement rather than replace traditional teaching methods.

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