The Impact of ChatGPT on Students' Problem-Solving Abilities in Chemistry Education: A Review Study

Authors

  • Alli, A. O. Department of Chemistry, Federal College of Education, Abeokuta, Ogun State, Nigeria Author
  • Adeyemo, A. O. Department of Chemistry, Federal College of Education, Abeokuta, Ogun State, Nigeria Author
  • Adebayo, O. M. Department of Computer Education, Federal College of Education, Abeokuta, Ogun State, Nigeria Author
  • Abatan, E. O. Department of Computer Education, Federal College of Education, Abeokuta, Ogun State, Nigeria Author

Keywords:

ChatGPT, Problem-Solving Abilities, Chemistry Education, Artificial Intelligence in Education, Digital Literacy

Abstract

This review synthesizes current conceptual, theoretical, and empirical literature on the impact of ChatGPT on students’ problem-solving abilities in Chemistry education. The findings indicate that ChatGPT possesses significant potential to function as a cognitive scaffold by enhancing conceptual understanding, analytical reasoning, and procedural fluency in complex Chemistry tasks. Through instant feedback, step-by-step explanations, and personalized guidance, the tool can reduce extraneous cognitive load and support learners within their Zone of Proximal Development, particularly in resource-constrained educational contexts. However, the literature also reveals substantial pedagogical concerns. Excessive and uncritical reliance on ChatGPT may foster cognitive dependency, superficial learning, weakened metacognitive regulation, and diminished independent analytical reasoning. Such outcomes risk undermining the development of higher-order problem solving skills essential for scientific inquiry and professional competence. The review emphasizes that the effectiveness of ChatGPT depends largely on structured pedagogical integration, guided usage models, and strong digital literacy frameworks. It recommends the adoption of AI integration policies that prioritize critical engagement, ethical use, and assessment strategies focused on reasoning rather than answer reproduction. Ultimately, a blended human–AI partnership is proposed as the most sustainable pathway for strengthening independent problem-solving competence in Chemistry education.

References

1. Abdelghani, R., Wang, Y. H., Yuan, X., Wang, T., Lucas, P., Sauzéon, H., & Oudeyer, P. Y. (2024). GPT-3-driven pedagogical agents to train children’s curious question-asking skills. International Journal of Artificial Intelligence in Education, 34(2), 483-518.

2. Adebayo, M., & Johnson, T. (2023). AI tools and peer review in academia. Nigerian Journal of Educational Technology, 15(2), 66–82.

3. Adeleke, R. A. (2022). The unregulated rise of AI tools in Nigeria's education sector. African Journal of Educational Policy, 4(2), 32–45.

4. Adeoye, M. A., & Jimoh, H. A. (2023). Problem-solving skills among 21st-century learners toward creativity and innovation ideas. Thinking Skills and Creativity Journal, 6(1), 52-58.

5. Adewale, M. D., Azeta, A., Abayomi-Alli, A., & Sambo-Magaji, A. (2024). Impact of artificial intelligence adoption on students' academic performance in open and distance learning: A systematic literature review. Heliyon, 10(22), e40025.

6. Agnaou, A., & El Asri, H. (2025). Artificial intelligence and collaborative learning: Impacts on creativity, critical thinking, and problem-solving. Journal of Educational Research and Practice, 15(1), 21.

7. Akgun, M., & Sharma, P. (2023). Exploring epistemic agency in students’ problem-solving activities. Interdisciplinary Journal of Environmental and Science Education, 19(1), e2303.

8. Aktay, S., Gök, S., & Uzunoğlu, D. (2023). ChatGPT in education. Türk Akademik Yayınlar Dergisi (TAY Journal), 7(2), 378-406.

9. AlBlooshi, S. (2026). Artificial intelligence in higher education: Opportunities and challenges—A review. Frontiers in Education, 10, 1683968.

10. Alghamdi, A. A. (2025). University students’ perceptions of generative AI for critical thinking and creativity: The influence of self-efficacy and disciplinary differences. Innovations in Education and Teaching International, 1–15.

11. Al-Jahwari, M., & Yousif, M. J. (2024). The impact of AI tools on education: ChatGPT in focus. Artificial Intelligence & Robotics Development Journal, 4(4), 314-336.

12. Alli, A. O. (2025). A review of the potential of artificial intelligence (AI) in enhancing chemistry education. International Journal of Recent Innovations in Academic Research, 9(2), 31–43.

13. Amjad, B. (2024). Over-reliance of students on artificial intelligence. European Tech News. https://europeantech.news/over-reliance-of-students-on-artificial-intelligence-by-bakhtawar-amjad-apr-2024/

14. Arroyo-Bello, E., González-Toledo, B., Abad-Valle, J., Rodríguez-Gómez, P., Garrigues-Ramón, M., & Gómez II, P. R. (2025). Exploring the challenges and opportunities of ChatGPT in university teaching for health sciences: A narrative review. Cureus, 17(10), e94259.

15. Aziza, M. (2021). A teacher questioning activity: The use of oral open-ended questions in mathematics classroom. Qualitative Research in Education, 10(1), 31-61.

16. Bai, Y., & Wang, S. (2025). Impact of generative AI interaction and output quality on university students’ learning outcomes: a technology-mediated and motivation-driven approach. Scientific Reports, 15(1), 24054.

17. Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52-62.

18. Bayarcal, G. C., Tan, D. A. (2023). Students’ achievement and problem-solving skills in mathematics through open-ended approach. American Journal of Educational Research, 11(4), 183-190.

19. Bello, A., & Hassan, R. (2022). Awareness and use of AI tools in Nigerian university libraries. Library Trends in Africa, 10(1), 12–25.

20. Blahopoulou, J., & Ortiz-Bonnin, S. (2025). Student perceptions of ChatGPT: benefits, costs, and attitudinal differences between users and non-users toward AI integration in higher education. Education and Information Technologies, 30(14), 19741-19764.

21. Chaudhary, A. A., Arif, S., Calimlim, R. F., Khan, S. Z., & Sadia, A. (2024). The impact of AI-powered educational tools on student engagement and learning outcomes at higher education level. International Journal of Contemporary Issues in Social Sciences, 3(2), 2842-2852.

22. Chen, Y., Wang, Y., Wüstenberg, T., Kizilcec, R. F., Fan, Y., Li, Y., ... & Bärnighausen, T. (2025). Effects of generative artificial intelligence on cognitive effort and task performance: study protocol for a randomized controlled experiment among college students. Trials, 26, 244.

23. Durgungoz, A., & Kharrufa, A. (2025). “ChatGPT is like a study buddy, a teacher and sometimes just a friend”: a longitudinal exploration of students’ interactions, perception and acceptance. Interactive Learning Environments, 1-20.

24. Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642.

25. Elhag, A., Al Abri, M., & Yousef, A. M. F. (2025). The effect of generative AI tools (ChatGPT, Gemini, etc.) on students’ achievement and their motivation towards learning. JOTSE: Journal of Technology and Science Education, 15(3), 746-759.

26. Ezurike, N., & Akinsulire, T. (2024). Investigating the awareness and adoption of ChatGPT as a learning tool among undergraduates in Lagos State, Nigeria. International Journal of Education, Learning and Development, 12(9), 134–154.

27. Fajt, B., & Schiller, E. (2025). ChatGPT in academia: University students’ attitudes towards the use of ChatGPT and plagiarism. Journal of Academic Ethics, 23(3), 1363-1382.

28. Fakour, H., & Imani, M. (2025). Socratic wisdom in the age of AI: A comparative study of ChatGPT and human tutors in enhancing critical thinking skills. Frontiers in Education, 10, 1528603.

29. Gerlich, M. (2025). AI tools in society: Impacts on cognitive offloading and the future of critical thinking. Societies, 15(1), 6.

30. Gkintoni, E., Antonopoulou, H., Sortwell, A., & Halkiopoulos, C. (2025). Challenging cognitive load theory: The role of educational neuroscience and artificial intelligence in redefining learning efficacy. Brain Sciences, 15(2), 203.

31. Goodman, R. S., Patrinely, J. R., Stone Jr, C. A., Zimmerman, E., Donald, R. R., Chang, S. S., ... & Johnson, D. B. (2023). Accuracy and reliability of chatbot responses to physician questions. JAMA Network Open, 6(10), e2336483.

32. Gozalo-Brizuela, R., & Garrido-Merchan, E. C. (2023). ChatGPT is not all you need: A state of the art review of large generative AI models. arXiv. https://doi.org/10.48550/arXiv.2301.04655

33. Güngören, Ö. C., Erdoğan, D. G., & Horzum, M. B. (2026). University students’ acceptance of generative artificial intelligence tools: a mixed-methods study on opinions, attitudes, and behavioral intentions. BMC Psychology. 14(1), 238. https://doi.org/10.1186/s40359-026-03977-w

34. Gupta, B., Mufti, T., Sohail, S. S., & Madsen, D. Ø. (2023). ChatGPT: A brief narrative review. Cogent Business & Management, 10(3), 2275851.

35. Hagos, T. (2025). Progressivism in chemistry education: Emphasizing student-centered learning and real-world relevance. African Journal of Chemical Education, 15(1), 147-179.

36. Hidayat-ur-Rehman, I., & Ibrahim, Y. (2024). Exploring factors influencing educators’ adoption of ChatGPT: A mixed method approach. Interactive Technology and Smart Education, 21(4), 499-534.

37. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning (1st ed.). Center for Curriculum Redesign.

38. Howlader, M. H., Tohan, M. M., Zaman, S., Chanda, S. K., Jiaxin, G., & Rahman, M. A. (2025). Factors influencing the acceptance and usage of ChatGPT as an emerging learning tool among higher education students in Bangladesh: a structural equation modeling. Cogent Education, 12(1), 2504224.

39. Hurrell, D. (2021). Conceptual knowledge or procedural knowledge or conceptual knowledge and procedural knowledge: Why the conjunction is important to teachers. Australian Journal of Teacher Education, 46(2), 57-71.

40. Iyamuremye, A., Niyongabo Niyonzima, F., & Twagilimana, I. (2024). Web-based discussion in teaching and learning organic chemistry: a scoping literature review on its current trends, cognitive, social, and teaching aspects. Cogent Education, 11(1), 2431947.

41. Jamil, M., Bokhari, T. B., & Zia, Q. (2024). Qualitative content analysis for critical thinking and skill development: A case of chemistry curriculum. Journal of Asian Development Studies, 13(1), 147-155.

42. Jayson, I. J. N., & Orongan, R. C. (2025). Problem solving abilities and anxiety on students’ mathematical resiliency. International Journal of Research and Innovation in Social Science, 9(3), 3025-3032.

43. Karani, A. O., & Mwancha, C. N. (2025). The role of ChatGPT in STEM education: Assessing its prospects, challenges, ethical implications, and influence on student creativity and innovation. International Journal of Education, Technology and Science, 5(2), 116–138.

44. Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274.

45. Kehinde, D. I., & Adeyemi, E. G., (2025). Pragmatism and learning in Nigerian schools. Studies in Education, 23(1), 104-111.

46. Khalil, M., & Er, E. (2023). Will ChatGPT get you caught? Rethinking plagiarism detection. In International Conference on Human–Computer Interaction (pp. 475–487). Springer Nature Switzerland

47. Khan, N., Khan, Z., Koubaa, A., Khan, M. K., & Salleh, R. B. (2024). Global insights and the impact of generative AI-ChatGPT on multidisciplinary: a systematic review and bibliometric analysis. Connection Science, 36(1), 2353630.

48. Kim, N. J., & Kim, M. K. (2022). Teachers’ perceptions of using an artificial intelligence-based educational tool for scientific writing. Frontiers in Education, 7, 755914.

49. King, M. R., & ChatGPT. (2023). A conversation on artificial intelligence, chatbots, and plagiarism in higher education. Cellular and Molecular Bioengineering, 16(1), 1-2.

50. Kinge, T. R., Wiysahnyuy, L. F., Awah, T. M., & Nkuo-Akenji, T. (2020). Current statistics in science, technology and innovation in higher education in Cameroon and the establishment of gender participation. African Journal of Rural Development, 5(3), 105-142.

51. Klimova, B., & Pikhart, M. (2025). Exploring the effects of artificial intelligence on student and academic well-being in higher education: A mini-review. Frontiers in Psychology, 16, 1498132.

52. Kokol, P., Blažun Vošner, H., & Završnik, J. (2023). ChatGPT and scholarly publishing: Is the academic community prepared? Scientometrics, 128, 2069–2084.

53. Lawson, A. P., Martella, A. M., LaBonte, K., Delgado, C. Y., Zhao, F., Gluck, J. A., ... & Mayer, R. E. (2024). Confounded or controlled? A systematic review of media comparison studies involving immersive virtual reality for STEM education. Educational Psychology Review, 36(3), 69.

54. Li, J., Fang, L., Liu, Y., Xie, J., & Wang, X. (2024). Ineffective learning behaviors and their psychological mechanisms among adolescents in online learning: A narrative review. Behavioral Sciences, 14(6), 477.

55. Li, M., & Wilson, J. (2025). AI-Integrated scaffolding to enhance agency and creativity in k-12 English language learners: A systematic review. Information, 16(7), 519.

56. Macnamara, B. N., Berber, I., Çavuşoğlu, M. C., Krupinski, E. A., Nallapareddy, N., Nelson, N. E., ... & Ray, S. (2024). Does using artificial intelligence assistance accelerate skill decay and hinder skill development without performers’ awareness? Cognitive Research: Principles and Implications, 9(1), 46.

57. Martella, A. M., Lawson, A. P., & Robinson, D. H. (2024). How scientific is cognitive load theory research compared to the rest of educational psychology? Education Sciences, 14(8), 920.

58. Matueny, R., & Nyamai, J. (2025). Illusion of competence and skill degradation in artificial intelligence dependency among users. International Journal of Research and Scientific Innovation, 12(5), 1725-1738.

59. Mhlongo, S., Mbatha, K., Ramatsetse, B., & Dlamini, R. (2023). Challenges, opportunities, and prospects of adopting and using smart digital technologies in learning environments: An iterative review. Heliyon, 9(6), e16348.

60. Nasr, N. R., Tu, C. H., Werner, J., Bauer, T., Yen, C. J., & Sujo-Montes, L. (2025). Exploring the impact of generative AI ChatGPT on critical thinking in higher education: Passive AI-directed use or human–AI supported collaboration? Education Sciences, 15(9), 1198.

61. Ngaine, L. K. (2026). Examining effectiveness of pedagogical approaches in the implementation of applied sciences curriculum in public junior secondary schools in Kiambu County. International Journal of Research and Innovation in Social Science, 10(1), 7304-7323.

62. Nkiko, M. O. (2021). Interrogating the teaching and learning of chemistry in Nigerian private universities: Matters arising. Journal of Education and Learning, 10(3), 132-139.

63. OECD. (2026). Problem solving skills. https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/future-of-education-and-skills/learning-compass-constructs/Problem%20solving.pdf

64. Okoye, M., & Nwachukwu, C. (2022). Digital divide and AI utilization in Nigerian higher education. Journal of African Educational Research, 18(2), 89–101.

65. OpenAI. (2025). Introducing GPT-5. https://openai.com/index/introducing-gpt-5/

66. Panhwar, I. A., Usman, M., Panhwar, F., & Surahio, T. A. (2025). Exploring the impact of zone of proximal development and scaffolding in second language acquisition: a comparative study of Vygotskian and Freirean approaches. Social Science Review Archives, 3(1), 1166-1176.

67. Phokoye, S. P., Dlamini, S., Mthalane, P. P., Luthuli, M., & Moyane, S. P. (2025). A comprehensive review of ChatGPT in teaching and learning within higher education. Informatics, 12(3), 74.

68. Popova, M. (2024). Bridging chemistry education research and practice through research–practice partnerships. Frontiers in Education, 9, 1401835.

69. Prabawati, P. L. S., & Agustika, G. N. S. (2021). Project-based learning based on STEM (science, technology, engineering, and mathematics) enhancing students’ science knowledge competence. Jurnal Ilmiah Sekolah Dasar, 4(4), 621–629.

70. Qadir, J. (2023). Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. In 2023 IEEE Global Engineering Education Conference (EDUCON) (pp. 1–9). IEEE

71. Rahman, M. M., & Watanobe, Y. (2023). ChatGPT for education and research: Opportunities, threats, and strategies. Applied Sciences, 13(9), 5783.

72. Rahmawati, Y., Hartanto, O., Falani, I., & Iriyadi, D. (2022). Students' conceptual understanding in chemistry learning using PhET interactive simulations. Journal of Technology and Science Education, 12(2), 303–326.

73. Raman, Y., Surif, J., & Ibrahim, N. H. (2024). The effect of problem-based learning approach in enhancing problem-solving skills in chemistry education: A systematic review. International Journal of Interactive Mobile Technologies, 18(5), 91.

74. Ray, P. P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems, 3, 121-154.

75. Roumeliotis, K. I., & Tselikas, N. D. (2023). ChatGpt and open-ai models: A preliminary review. Future Internet, 15(6), 192.

76. Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1), 342-363.

77. Sarwari, K., & Kakar, A. F. (2023). Developing students’ critical thinking skills through contextual teaching and learning. Journal of Cognition, Emotion & Education, 1(1), 29-42.

78. Saurini, E. (2023). Creativity in art and academia: Analyzing the effects of AI technology through the lens of ChatGPT (Undergraduate thesis, Regis University). Regis University Student Publications. https://epublications.regis.edu/theses/1102

79. Shalawati, S., Nasution, A. H., Monika, W., Derin, T., Onan, A., & Murakami, Y. (2026). Beyond BLEU: GPT-5, human judgment, and classroom validation for multidimensional machine translation evaluation. Digital, 6(1), 8.

80. Shanta, S., & Wells, J. G. (2022). T/E design based learning: assessing student critical thinking and problem solving abilities. International Journal of Technology and Design Education, 32(1), 267-285.

81. Stanford Report. (2025, July 29). How is ChatGPT impacting schools, really? Stanford researchers aim to find out. https://news.stanford.edu/stories/2025/07/chatgpt-open-ai-impact-schools-education-learning-data-research

82. Sweller, J., van Merriënboer, J. J. G., & Paas, F. (2019). Cognitive architecture and instructional design: 20 years later. Educational Psychology Review, 31(2), 261-292.

83. Times Higher Education. (2026). The zone of proximal development in four stages. https://www.timeshighereducation.com/campus/zone-proximal-development-four-stages

84. Tsao, Y. C., & Loh, L. (2025). Generative AI-enhanced STEM education: Exploring challenges, opportunities, and teacher perspectives in Taiwan’s secondary schools. Design Society. https://www.designsociety.org/publication/48567/

85. Utetiwabo, W., Karegeya, C., Gakuba, E., Nkurunziza, J. B., Habiyaremye, J. D. D., Ntihabose, R., & Ntalindwa, T. (2025). Chemistry teachers’ perception on implementing dynamic simulations in teaching and learning chemical kinetics: Kigali city case study. Discover Education, 4, 578.

86. Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017). Attention is all you need. In Advances in Neural Information Processing Systems (pp. 6000–6010).

87. Ventura-León, J., Lino-Cruz, C., Tocto-Muñoz, S., Gamboa-Melgar, G., & Ruiz-Castro, J. (2025). Cultural adaptation and psychometric validation of the academic progress goals scale for Peruvian university students. Frontiers in Education, 10, 1661179.

88. Vieriu, A. M., & Petrea, G. (2025). The impact of artificial intelligence (AI) on students’ academic development. Education Sciences, 15(3), 343.

89. Vincent-Lancrin, S., González-Sancho, C., Bouckaert, M., De Luca, F., Fernández-Barrerra, M., Jacotin, G., & Vidal, Q. (2019). Fostering students' creativity and critical thinking: What it means in school. OECD Publishing. https://doi.org/10.1787/62212c37-en

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

91. Walter, Y. (2024). Embracing the future of artificial intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education. International Journal of Educational Technology in Higher Education, 21, 15.

92. Wang, J., & Fan, W. (2025). The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis. Humanities and Social Sciences Communications, 12, 621.

93. Xi, J., & Lantolf, J. P. (2021). Scaffolding and the zone of proximal development: A problematic relationship. Journal for the Theory of Social Behaviour, 51(1), 25-48.

94. Yu, H. (2024). The application and challenges of ChatGPT in educational transformation: New demands for teachers' roles. Heliyon, 10(2), e24289.

95. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39.

96. Zhai, X. (2022, December 27). ChatGPT user experience: Implications for education. https://doi.org/10.2139/ssrn.4312418

97. Zou, M., & Huang, L. (2023). To use or not to use? Understanding doctoral students’ acceptance of ChatGPT in writing through technology acceptance model. Frontiers in Psychology, 14, 1259531.

98. Zou, Y., Kuek, F., Feng, W., & Cheng, X. (2025). Digital learning in the 21st century: Trends, challenges, and innovations in technology integration. Frontiers in Education, 10, 1562391.

Downloads

Published

2026-02-09

Issue

Section

Articles