American Journal of Educational Research
ISSN (Print): 2327-6126 ISSN (Online): 2327-6150 Website: https://www.sciepub.com/journal/education Editor-in-chief: Ratko Pavlović
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American Journal of Educational Research. 2026, 14(5), 125-133
DOI: 10.12691/education-14-5-1
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Student Experiences with AI-Assisted Chemistry Learning in Public Secondary Schools

Katherine Joy G. Reyes1, and Maria Teresa M. Fajardo2

1Natural Sciences Department, Bukidnon State University, Malaybalay City, 8700, Philippines

2Department of Science Education, University of Science and Technology of Southern Philippines, Cagayan de Oro City, 9000, Philippines

Pub. Date: May 22, 2026

Cite this paper:
Katherine Joy G. Reyes and Maria Teresa M. Fajardo. Student Experiences with AI-Assisted Chemistry Learning in Public Secondary Schools. American Journal of Educational Research. 2026; 14(5):125-133. doi: 10.12691/education-14-5-1

Abstract

This qualitative descriptive study explored secondary students’ experiences of chemistry learning and AI-assisted academic support in selected public schools in Malaybalay City, Bukidnon, Philippines. Data consisted of 78 coded student excerpts drawn from a student qualitative response matrix organized across 14 semi-structured prompts; these excerpts were analyzed thematically following Braun and Clarke and interpreted through constructivist learning theory. Findings are organized around four analytic areas. First, students’ cognitive and representational difficulties intensified when lessons shifted from recall to application, particularly in equations, problem-solving, balancing reactions, formula substitution, and use of the periodic table. Second, teacher explanation remained the primary trusted scaffold because it offered step-by-step clarification, local language mediation, examples, feedback, and verification. Third, AI and digital tools such as ChatGPT, Gemini, Bing, Copilot, PhET simulations, and selected productivity tools were used unevenly as supplementary aids for explanations, examples, reports, and clarification. Fourth, students valued AI when it made complex topics faster, clearer, or more relatable, but questioned it when responses were inaccurate, lengthy, not step-by-step, English-heavy, or constrained by weak internet and limited device access. The findings suggest that AI can support chemistry learning when it is guided, localized, verified, and integrated with teacher-mediated instruction rather than treated as a replacement for classroom explanation.

Keywords:
artificial intelligence AI literacy AI-assisted learning qualitative descriptive study student learning difficulties teacher mediation thematic analysis

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]  Johnstone, A.H. “Why is science difficult to learn? Things are seldom what they seem”, Journal of Computer Assisted Learning, 7(2). 75-83. Jun.1991.
 
[2]  Taber, K.S. Chemical misconceptions: Prevention, diagnosis, and cure, Volume 1: Theoretical background. Royal Society of Chemistry, London. 2002.
 
[3]  Gkitzia, V., Salta, K. & Tzougraki, C. “Students’ competence in translating between different types of chemical representations,” Chemistry Education Research and Practice, 21(1). 307-330. Jan.2020.
 
[4]  Chen, L., Chen, P. & Lin, Z. “Artificial intelligence in education: A review,” IEEE Access, 8, 75264-75278. Apr. 2020.
 
[5]  Aleven, V., McLaughlin, E.A., Glenn, R.A. & Koedinger, K.R. “Instruction based on adaptive learning technologies,” in Handbook of Research on Learning and Instruction, 2nd ed., Routledge, New York, 522-560. 2017.
 
[6]  Chan, C.K.Y. & Hu, W. “Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education,” International Journal of Educational Technology in Higher Education, 20(1), 43. Jul. 2023.
 
[7]  Guo, Y. and Lee, D. “Leveraging ChatGPT for enhancing critical thinking skills,” Journal of Chemical Education, 100(12). 4876-4883, Nov. 2023.
 
[8]  Araújo, J. L., & Saúde, I. “Can ChatGPT enhance chemistry laboratory teaching? Using prompt engineering to enable AI in generating laboratory activities.” Journal of Chemical Education, 101(5), 1858-1864, Apr. 2024.
 
[9]  Berber, S., Brückner, M., Maurer, N., & Huwer, J. “Artificial intelligence in chemistry research: Implications for teaching and learning,” Journal of Chemical Education, 102(4), 1445-1456, Mar. 2025.
 
[10]  Akgun, S. & Greenhow, C. “Artificial intelligence in education: Addressing ethical challenges in K-12 settings,” AI and Ethics, 2, 431-440, 2022.
 
[11]  Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S.B., Santos, O.C., Rodrigo, M.T., Cukurova, M., Bittencourt, I.I., & Koedinger, K.R. “Ethics of AI in education: Towards a community-wide framework,” International Journal of Artificial Intelligence in Education, 32, 504-526, Sep. 2022.
 
[12]  Zhang, P., & Tur, G. “A systematic review of ChatGPT use in K-12 education,” European Journal of Education, 59(2). 2023.
 
[13]  Pratiwi, H., Riwanda, A., Hasruddin, Sujarwo, & Syamsudin, A. “Transforming learning or creating dependency: Teachers' perspectives and barriers to AI integration in education,” Journal of Pedagogical Research. 9(2), 127-142, Mar. 2025.
 
[14]  Rashid, S. F., Duong-Trung, N., & Pinkwart, N. Generative AI in education: Technical foundations, applications, and challenges, IntechOpen. 2024.
 
[15]  Levy-Nadav, L., Shamir-Inbal, T., & Blau, I., “Digital competencies for effective GenAI use in secondary schools: A longitudinal exploration of teachers' perspectives and classroom practices,” Journal of Computer Assisted Learning, 41(5). 2025.
 
[16]  Buchwitz, B. J., Beyer, C. H., Peterson, J. E., Pitre, E., Lalic, N., Sampson, P. D., & Wakimoto, B. T., “Facilitating long-term changes in student approaches to learning science,” CBE-Life Sciences Education, 11(3), 273-282, 2012.
 
[17]  Owens, A., “Filling in some gaps: A pre-nursing bioscience and study skills intervention,” Collegian, 27(1), 141-146. 2020.
 
[18]  Gresty, K., & Cotton, D., “Supporting biosciences in the nursing curriculum: development and evaluation of an online resource,” Journal of Advanced Nursing, 44(4), 339-349, 2003.
 
[19]  Rafferty, B., Mthimunye, K., & Bimerew, M., “Theory-practice gap: Nursing students' self-reported depth of understanding of bioscience and its relevance to clinical practice,” PLOS ONE, 18(11), e0294319, 2023.
 
[20]  Akaygün, S., & Kılıç, İ., “Generative artificial intelligence (GenAI) as the artist of chemistry visuals: Chemistry preservice teachers' reflections on visuals created by GenAI,” Journal of Chemical Education, 102(7), 2549-2564. 2025.
 
[21]  Aydın, S., Şirin, G. T., Ilkyaz, O. C., & Mutlu, Y., “Exploring the artificial intelligence interaction profiles of participants with different levels of teaching experience for lesson planning in the context of acids and bases,” Chemistry Education Research and Practice, 26(4), 977-995, 2025.
 
[22]  Powell, W. A., & Courchesne, S., “Opportunities and risks involved in using ChatGPT to create first grade science lesson plans,” PLOS ONE, 19(6), e0305337, 2024.
 
[23]  Grassini, S., “Shaping the future of education: Exploring the potential and consequences of AI and ChatGPT in educational settings,” Education Sciences, 13(7), 692, 2023.
 
[24]  Wang, L., Xu, Y., Zhang, M., Bai, R., & Xie, T., “Teaching innovation in a pharmacy course: integration of Questioning-Training of Comprehensive Knowledge Application and a Teacher-AI-Student Interaction Model,” BMC Medical Education, 25(1), 2025.
 
[25]  Kohnke, L., & Zou, D., “Artificial intelligence integration in TESOL teacher education: Promoting a critical lens guided by TPACK and SAMR,” TESOL Quarterly, 59(S3), 2025.
 
[26]  Piaget, J., To Understand is to Invent: The Future of Education, Grossman Publishers, New York, 1973.
 
[27]  Vygotsky, L.S., Mind in Society: The Development of Higher Psychological Processes. Harvard University Press, Cambridge, MA, 1978.
 
[28]  Braun, V. and Clarke, V., Thematic Analysis: A Practical Guide. London, SAGE Publications, London, 2021.
 
[29]  Bodner, G.M. & Herron, J.D., “Problem-solving in chemistry,” in Chemical Education: Towards Research-based Practice, Kluwer Academic Publishers, Dordrecht, pp.235-266, 2002.
 
[30]  Henriksen, D., Creely, E., Gruber, N., & Leahy, S., “Social-emotional learning and generative AI: A critical literature review and framework for teacher education,”. Journal of Teacher Education, 76(3), 312-328, 2025.
 
[31]  Blonder, R., Feldman-Maggor, Y., & Rap, S., “Are they ready to teach? Generative AI as a means to uncover pre-service science teachers' PCK and enhance their preparation program,” Journal of Science Education and Technology, 34(6), 1301-1310, 2024.
 
[32]  Tang, K., “Informing research on generative artificial intelligence from a language and literacy perspective: A meta-synthesis of studies in science education,” Science Education, 108(5), 1329-1355, 2024.
 
[33]  Nazaretsky, T., Mejia-Domenzain, P., Swanny, V., Frej, J., & Käser, T., “The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions,” Computers and Education: Artificial Intelligence, 8, 100368, 2025.
 
[34]  Miao, F., & Holmes, W., Guidance for generative AI in education and research. UNESCO, Paris, 2023. [Online], Available: .
 
[35]  OECD, OECD Digital Education Outlook 2026: Exploring Effective Uses of Generative AI in Education, OECD Publishing, Paris, 2026.
 
[36]  Martin-Moncunill, D., & Alonso Martinez, D., “Students’ Trust in AI and Their Verification Strategies: A Case Study at Camilo José Cela University,” Education Sciences, 15(10), 1307, 2025.