Artificial Intelligence Dependency as a Correlate of Critical Thinking, Problem-Solving, and Ethical Learning Practices among Secondary School Students in South-West Nigeria

Authors

  • Olurotimi David ADULOJU Department of Science Education, Faculty of Education, Adekunle Ajasin University, Akungba -Akoko, Ondo State, Nigeria Author
  • Lydia Oluwafunmilayo ADEDOTUN Department of Science Education, Faculty of Education, Ekiti State University, Ado-Ekiti, Ekiti State, Nigeria Author
  • Abiola Afolabi AKINGBEMISILU Department of Science Education, Faculty of Education, Adekunle Ajasin University, Akungba -Akoko, Ondo State, Nigeria Author
  • Margaret Foluso AYENI Department of Science Education, Faculty of Education, Ekiti State University, Ado-Ekiti, Ekiti State, Nigeria Author
  • Adesoji Olubunmi OMONIYI Department of Science Education, Faculty of Education, Adekunle Ajasin University, Akungba -Akoko, Ondo State, Nigeria Author

DOI:

https://doi.org/10.54536/ajdsi.v1i1.8369

Keywords:

AI Dependency, Artificial Intelligence, Critical Thinking, Ethical Learning Practices, Problem-Solving Skills, Secondary School Students, Southwest Nigeria

Abstract

The growing deployment of Artificial Intelligence (AI) tools in secondary education provides students with new methods to find information, to acquire explanations, and to seek for help with their academic work. At the same time, there are fears that students might become dependent on AI, and what this means for autonomous thinking and responsible learning. The study examined the use and dependency of AI tools by senior secondary school students in Southwest Nigeria and examined its relationship with critical thinking, problem-solving skills and ethical learning practices. A correlational survey design was utilised. The survey was conducted among 7,200 students from SS1 to SS3 in 60 secondary schools in the six states of Southwest Nigeria. Data were obtained by structured questionnaire and analysed using descriptive statistics, Pearson Product-Moment Correlation, independent-samples t-test and one-way analysis of variance. The results suggest that the level of AI tool utilisation was high (M = 3.73, SD = 1.04) and the level of AI dependency was moderate to high (M = 3.53, SD = 1.11). AI reliance was adversely and strongly correlated with critical thinking (r(7198) = -.46, p < .001) and problem-solving skills (r(7198) = -.41, p < .001). The use of AI tools was positively associated with ethical learning practices (r(7198) = .34, p < .001). There was no gender difference in AI reliance (t(7198) = -1.85, p = .064), however there was a significant difference in ethical learning practices across SS1, SS2 and SS3 students (F(2, 7197) = 6.85, p = .001) with SS3 students having the highest mean. The results show that students are using AI tools extensively in their academic work, although the more use of such tools is related to poorer levels of critical thinking and problem solving. Thus, the study emphasises the importance of directed use of AI to help students’ learning, without eliminating their own reasoning or accountability for academic work.

Author Biographies

  • Lydia Oluwafunmilayo ADEDOTUN, Department of Science Education, Faculty of Education, Ekiti State University, Ado-Ekiti, Ekiti State, Nigeria

    PhD Student 

    Department of Science Education, Faculty of Education,

    Adekunle Ajasin University, Akungba -Akoko, Ondo State, Nigeria

     

     

  • Abiola Afolabi AKINGBEMISILU, Department of Science Education, Faculty of Education, Adekunle Ajasin University, Akungba -Akoko, Ondo State, Nigeria

    PhD Student 

    Department of Science Education, Faculty of Education,

    Ekiti State University, Ado-Ekiti, Ekiti State, Nigeria.

     

     

  • Margaret Foluso AYENI, Department of Science Education, Faculty of Education, Ekiti State University, Ado-Ekiti, Ekiti State, Nigeria

    Professor of Science Education, and Educational technology. He is the present Head of Department of Science Education,

    Department of Science Education, Faculty of Education,

    Adekunle Ajasin University, Akungba -Akoko, Ondo State, Nigeria

     

     

  • Adesoji Olubunmi OMONIYI, Department of Science Education, Faculty of Education, Adekunle Ajasin University, Akungba -Akoko, Ondo State, Nigeria

    Professor of Science Education and Curriculum studies, 

    Department of Science Education, Faculty of Education,

    Adekunle Ajasin University, Akungba -Akoko, Ondo State, Nigeria

     

     

References

Adegoke, S. K., Uthman, T. J., & Akanbi, A. O. (2026). Perception and attitude of secondary school students towards the use of AI generative tools for improved academic performance in Osun State, Nigeria. Kontagora International Journal of Educational Research, 3(1). https://doi.org/10.5281/zenodo.19282092

Akinbuwa, O. A. (2025). Teachers’ and students’ perceptions of artificial intelligence (AI) tools for academic support in selected secondary schools in Ondo State. FUOYE International Journal of Education.

Amuseghan, S. A., & Emmanuel, I. F. (2025). Shaping smart AI-titude among secondary ESL students in Nigeria: an exploratory study. Journal of English Language and Pedagogy, 3(2), 69–81. https://doi.org/10.51826/jelpa.v3i2.1690

Barana, A., Marchisio, M., & Roman, F. (2023). Fostering problem solving and critical thinking in mathematics through generative artificial intelligence. In Proceedings of the 20th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2023) (pp. 377385). IADIS Press.

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

Ennis, R. H. (1985). A logical basis for measuring critical thinking skills. Educational Leadership, 43(2), 44–48.

Facione, P. A. (1990). Critical thinking: A statement of expert consensus for purposes of educational assessment and instruction (The Delphi Report). American Philosophical Association.

Gidado, B. K., Diffang, A. D., & Zubair, T. H. (2025). Impact of artificial intelligence powered chatbots on problem-solving skills and self-esteem of senior secondary school students in the Federal Capital Territory, Abuja, Nigeria. Irish Journal of Educational Practice, 8(3), 47–63. https://aspjournals.net/Journals/index.php/ijep/article/view/1143

Grassini, S. (2023). Shaping the future of education: exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences, 13(7), 692. https://doi.org/10.3390/educsci13070692

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

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., Stadler, M., & Kasneci, G. (2023). ChatGPT for good? on opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Kong, S. C., & Zhu, J. (2025). Developing and validating an artificial intelligence ethical awareness scale for secondary and university students: cultivating ethical awareness through problem-solving with artificial intelligence tools. Computers and Education: Artificial Intelligence, 9, 100447. https://doi.org/10.1016/j.caeai.2025.100447

Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308

Lawal, A., Aliyu, Z., Madugu, A. B., & Zakaria, O. J. (2025). Integrating artificial intelligence into STEM classrooms: impact on students’ critical thinking and problem-solving skills in secondary schools, Zaria Education Zone, Kaduna State, Nigeria. Kontagora Journal of Science and Technology, 18(1–2). https://doi.org/10.5281/zenodo.17747703

Organisation for Economic Co-operation and Development. (2023). OECD framework for the classification of AI systems. OECD Publishing.

Piaget, J. (1972). The psychology of the child. Basic Books.

Russell, S. J., & Norvig, P. (2021). Artificial intelligence: a modern approach (4th ed.). Pearson.

Sweller, J. (1988). Cognitive load during problem solving: effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4

UNESCO. (2021a). AI and education: Guidance for policy-makers. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000376702

UNESCO. (2021b). Recommendation on the ethics of artificial intelligence. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000381137

Urban, M., Děchtěrenko, F., Lukavský, J., Hrabalová, V., Svacha, F., Brom, C., & Urban, K. (2024). ChatGPT improves creative problem-solving performance in university students: an experimental study. Computers & Education, 215, 105031. https://doi.org/10.1016/j.compedu.2024.105031

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

Zhang, S., Zhao, X., Zhou, T., & Kim, J. H. (2024). Do you have AI dependency? The roles of academic self-efficacy, academic stress, and performance expectations on problematic AI usage behavior. International Journal of Educational Technology in Higher Education, 21, Article 34. https://doi.org/10.1186/s41239-024-00467-0

Zohar, A., & Dori, Y. J. (2023). Critical thinking in education: assessment and instructional strategies. Educational Psychology Review, 35(2), Article 45. https://doi.org/10.1007/s10648-023-09745-2

Downloads

Published

2026-10-11

How to Cite

Artificial Intelligence Dependency as a Correlate of Critical Thinking, Problem-Solving, and Ethical Learning Practices among Secondary School Students in South-West Nigeria. (2026). American Journal of Development Studies and Innovations, 1(1), 47-64. https://doi.org/10.54536/ajdsi.v1i1.8369