ChatGPT and DeepSeek Evaluate One Another for Science Education

Main Article Content

Konstantinos T. 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.

Metrics

Metrics Loading ...

Article Details

How to Cite
Kotsis, K. T. (2025). ChatGPT and DeepSeek Evaluate One Another for Science Education. EIKI Journal of Effective Teaching Methods, 3(1). https://doi.org/10.59652/jetm.v3i1.439
Section
Opinion Articles
Author Biography

Konstantinos T. Kotsis, University of Ioannina, Greece

Konstantinos T. Kotsis was born in Athens in 1959. He studied Physics at the Aristotle University of Thessaloniki, Greece. In 1985, he was an assistant researcher at the Polytechnic Institute of New York University, Brooklyn Campus. In 1987, he got a PhD in X-ray Physics in the Physics Department at the University of Ioannina, Greece. From September 1981 to September 2000, he served as a Lecturer and Assistant Professor specializing in Solid State Physics and X-ray Diffraction at the Physics department of the University of Ioannina. Since 2000, he has served as a Faculty Member (Assistant Professor and Associate Professor) at the Department of Primary Education at the University of Ioannina. Since 2012, he has been a full Professor specializing in the Didactics of Physics and Teachers Education. He has much experience teaching in many University Departments, such as Physics, Chemistry, Informatics, Biological Applications and Technology, and Primary Education at the University of Ioannina and Aristotle University of Thessaloniki, Greece. He has published six books and three monographs. He participated in many conferences in Greece and abroad. His articles have been published in scientific International and Greek journals.       

References

Bekeš, E. R., & Galzina, V. (2023). Exploring the Pedagogical Use of AI-Powered Chatbots Educational Perceptions and Practices. In 2023 46th MIPRO ICT and Electronics Convention (MIPRO) (pp. 636-641). IEEE. https://doi.org/10.23919/mipro57284.2023.10159734

Hasnawati, H., Syazali, M., & Widodo, A. (2022). Analysis of Understanding Science Concepts for Prospective Elementary School Teacher Candidates. Jurnal Penelitian Pendidikan IPA, 8(6). https://jppipa.unram.ac.id/index.php/jppipa/article/view/2438

Howard, J., & Gugger, S. (2020). Deep Learning for Coders with fastai and PyTorch. O'Reilly Media.

Jiang, Z., Yang, Z., Chen, J., Du, Z., Wang, W., Xu, B., & Tang, J. (2024). VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning. arXiv. https://doi.org/10.48550/arXiv.2409.13730

Kotsis, K. T. (2024a). Integrating ChatGPT into the Inquiry-Based Science Curriculum for Primary Education. European Journal of Edu-cation and Pedagogy, 5(6), 28–34. https://doi.org/10.24018/ejedu.2024.5.6.891

Kotsis, K. T. (2024b). ChatGPT in teaching physics hands-on experiments in primary school. European Journal of Education Studies, 11(10), 126-143. http://dx.doi.org/10.46827/ejes.v11i10.5549

Kucukaydin, M. A. (2019). Concept teaching in science classrooms: A critical discourse analysis of teachers’ talk. Journal of Education in Science Environment and Health, 5(2), 209-226. https://doi.org/10.21891/JESEH.568813

Lu, H., Liu, W., Zhang, B., Wang, B., Dong, K., Liu, B., ... & Ruan, C. (2024). Deepseek-vl: Towards real-world vision-language under-standing. arXiv. https://doi.org/10.48550/arXiv.2403.05525

Shafee, S., Bessani, A., & Ferreira, P. M. (2024). Evaluation of LLM Chatbots for OSINT-based Cyberthreat Awareness. arXiv. https://doi.org/10.48550/arXiv.2401.15127

Shaw, D., Morfeld, P., & Erren, T. C. (2023). The (mis)use of ChatGPT in science and education. EMBO Reports, 24, e57501. https://doi.org/10.15252/embr.202357501

Xin, H., Guo, D., Shao, Z., Ren, Z., Zhu, Q., Liu, B., Ruan, C., Li, W., & Liang, X. (2024). DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data. arXiv. https://doi.org/10.48550/arXiv.2405.14333

Most read articles by the same author(s)