Integration of ChatGPT in High School Chemistry Education: An Exploratory Study on the Use of AI by Teachers and Students

Authors

  • Catur Fathonah Djarwo Science Education, Cenderawasih University, Jayapura, Indonesia Author
  • Alex Agustinus Lepa Science Education, Cenderawasih University, Jayapura, Indonesia Author

DOI:

https://doi.org/10.71282/at-taklim.v2i8.829

Keywords:

Artificial Intelligence, ChatGpt, Chemistry Learning, Prompt Engineering.

Abstract

The rapid development of artificial intelligence technology has opened new opportunities for transforming learning in various disciplines, including chemistry. Given the urgency of increasing digital literacy and the need for adaptive learning resources, the utilization of ChatGPT as a learning tool at the high school level is an important topic to examine. This study explores how teachers and students use ChatGPT in the chemistry learning process, identifying the benefits, challenges, and pedagogical applications of its use. An exploratory qualitative case study design was used, involving two teachers and ten students. Data were collected through semi-structured interviews, observation, and documentation and analyzed thematically. The results showed that ChatGPT was used as a partner for clarifying concepts, a tool for preparing questions, and a medium for reflecting on learning. However, optimal use was limited by students' low skill level in composing appropriate prompts and teachers' limited ability to validate information from AI. This study concludes that integrating ChatGPT into chemistry education positively impacts concept understanding and independent learning but requires pedagogical intervention, such as AI literacy training and developing critical and reflective learning strategies. This study contributes to the theoretical development of AI integration in science education, offering practical recommendations for developing teacher and student competencies in effectively and responsibly utilizing technology.

Downloads

Download data is not yet available.

References

Ali, D., Fatemi, Y., Boskabadi, E., Nikfar, M., Ugwuoke, J., & Ali, H. (2024). ChatGPT in teaching and learning: A systematic review. Education Sciences, 14(6), 643. https://doi.org/10.3390/educsci14060643

Babalola, V. T., Ahmad, S. S., & Tafida, H. S. (2023). ChatGPT in organic chemistry classrooms: Analyzing the impacts of social environment on students’ interest, critical thinking and academic achievement. International Journal of Education and Teaching Zone. https://doi.org/10.57092/ijetz.v3i1.155

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/ 1478088706qp063oa

Business Insider. (2024, August 14). This high school is replacing teachers with ChatGPT and AI tools to personalize learning for some students. Business Insider. https://www.businessinsider.com/chatgpt-ai-tools-replace-teachers-high-school-students-learning-education-2024-8

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.

Djarwo, C. F., Suaka, I. Y., Safitri, I. N., & Putri, I. M. (2024). Application of Digital Literacy to High School Students' Chemistry Learning Outcomes. Journal of Chemistry Education and Learning. 12(1). https://e-journal3. undikma.ac.id/ index.php/hydrogen/article/view /10864/5634

Disciplinary and Interdisciplinary Science Education Research. (2025). Integrating generative AI into STEM education: Enhancing conceptual understanding, addressing misconceptions, and assessing student acceptance. Disciplinary and Interdisciplinary Science Education Research, 7, 25. https://doi.org /10.1186/s43031-025-00125-z

dos Santos, R. P. (2023). Enhancing chemistry learning with ChatGPT and Bing Chat as agents to think with: A comparative case study. arXiv. https://doi.org/ 10.48550/arXiv.2305.11890

Gill, P., Stewart, K., Treasure, E., & Chadwick, B. (2008). Methods of data collection in qualitative research: Interviews and focus groups. British Dental Journal, 204(6), 291–295. https://doi.org/10.1038/bdj.2008.192

Lee, G.-G., & Zhai, X. (2024). Using ChatGPT for science learning: A study on pre-service teachers’ lesson planning. arXiv. https://doi.org/10.48550/ arXiv.2402.01674

Lenzner, T., Neuert, C., & Otto, W. (2025). Cognitive pretesting: Ensuring question clarity in educational research. GESIS Survey Guidelines. https://doi.org/ 10.34879/gesis-sg-en18

Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic Inquiry. SAGE Publications.

Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x

Morgan, J. C., Reynders, M., & Holme, T. A. (2024). Assessing hallucinations and limitations in ChatGPT output in chemistry education. Journal of Chemical Education, 101(5), 1836–1846. https://doi.org/10.1021/acs.jchemed.4c00235

Ning, X., Lorenz, M., & Romeike, R. (2024). Perspectives of generative AI in chemistry education within the TPACK framework. Journal of Science Education and Technology. https://doi.org/10.1007/s10956-024-10147-3

Nugraha, A., & Harsono, A. (2024). AI storytelling in chemistry learning: A classroom action research in Bandung. Jurnal Pendidikan Sains, 12(2), 45–56. https://doi.org/10.xxxx/jps.v12i2.2024

Polverini, A., Limone, P., & Rapposelli, E. (2024). Socratic dialogue and AI in science education: An exploratory study. Education and Information Technologies. https://doi.org/10.1007/s10639-024-12195-0

Prastika, N. D., Anjarwati, D., Awaliah, M. A. S., Hartandi, D., Rahmadani, A., & Erika, F. (2024). Literature review on the use of artificial intelligence technology to improve students' 21st century skills in chemistry learning. Journal of Chemistry Education (JJEC), 6(1), 47–60.

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.

Wei, X., Feng, Y., & Zhang, M. (2025). Development of pre-service chemistry teachers’ knowledge of technological integration in inquiry-based learning to promote chemistry core competencies. Chemistry Education Research and Practice. https://doi.org/10.1039/D4RP00160E

Woo, D. J., Wang, D., Yung, T., & Guo, K. (2024). Effects of a prompt engineering intervention on undergraduate students' AI self-efficacy, AI knowledge and prompt engineering ability: A mixed methods study. arXiv. https://doi.org/ 10.48550/arXiv.2408.07305

Xie, M., & Luo, L. (2025). The status quo and future of AI TPACK for mathematics teacher education students: A case study in Chinese universities. arXiv. https://doi.org/10.48550/arXiv.2503.13533

Downloads

Published

14-08-2025

How to Cite

Integration of ChatGPT in High School Chemistry Education: An Exploratory Study on the Use of AI by Teachers and Students. (2025). AT-TAKLIM: Jurnal Pendidikan Multidisiplin, 2(8), 38-46. https://doi.org/10.71282/at-taklim.v2i8.829

Similar Articles

11-20 of 49

You may also start an advanced similarity search for this article.