ChatGPT and DeepSeek Evaluate One Another for Science Education
Konstantinos Τ. Kotsis
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.