ChatGPT and DeepSeek Evaluate One Another for Science Education

Abstract

This paper compares ChatGPT and DeepSeek in science education, highlighting their various uses. ChatGPT’s advanced language processing creates a conversational learning environment that en-courages interactive dialogue and immediate feedback, making it ideal for science discussions. However, it struggles with complex, research-based tasks, suggesting it may not be enough for ad-vanced science topics. In contrast, DeepSeek is designed for technical and scientific tasks and pro-vides a robust framework for understanding real-world applications through multimodal textual and visual interactions. DeepSeek excels at helping students understand and remember science’s difficult visual concepts. Science simulations and in-depth research benefit from DeepSeek’s Vision-Language Model and code generation and debugging optimization. The paper concludes that while each platform has its strengths, combining ChatGPT’s interactive capabilities with DeepSeek’s research-oriented features can transform science education by accommodating diverse learning styles and improving teaching.

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