Comparing ChatGPT and DeepSeek in Addressing Misconceptions about Physics Concepts

This study investigates the comparative effectiveness of ChatGPT and DeepSeek in addressing common misconceptions in physics education. Misconceptions such as the belief that "force is always required for motion" are prevalent among students, and this study highlights the importance of accurately addressing these misunderstandings to enhance learning outcomes. ChatGPT employs a multifaceted approach that leverages artificial intelligence to create interactive and responsive learning experiences. By analyzing common misunderstandings, ChatGPT tailors explanations that connect abstract physics concepts to students' existing knowledge, thereby enhancing comprehension and fostering deeper understanding. In contrast, DeepSeek offers a structured approach that systematically addresses specific misconceptions through curated resources, providing a complementary educational tool. The study highlights the strengths and limitations of both platforms, suggesting that while ChatGPT provides an engaging conversational interface, DeepSeek's systematic resource provision is essential for effectively addressing misconceptions. The findings suggest that integrating AI technologies in education can significantly enhance pedagogical strategies, enabling personalized feedback and guidance that clarifies misconceptions. By harnessing the capabilities of both ChatGPT and DeepSeek, educators can develop hybrid tools that not only address misconceptions but also foster a deeper conceptual understanding of physics. Ultimately, this synthesis has implications for refining existing educational approaches, ensuring that tools are both accessible and effective in enhancing comprehension in physics education.