Artificial Intelligence Use and Critical Thinking in Nigerian Secondary Schools: Evidence from Students and Mathematics Teachers

DOI:

https://doi.org/10.58421/misro.v5i4.1954

Authors

Keywords:

Artificial Intelligence, Critical Thinking, Secondary Education, AI Literacy, Cognitive Offloading

Abstract

The growing use of artificial intelligence (AI) in secondary education raises questions about its implications for students’ critical thinking. This study examined the relationship between AI use and critical thinking among secondary school students in Nigeria and explored students’ and teachers’ perceptions of AI’s influence on critical thinking. A mixed-methods design was adopted. Quantitative data were collected from 150 students randomly selected from five secondary schools in Ekiti State, Nigeria, using 10-item five-point scales measuring AI use and critical thinking skills. Qualitative data were obtained through interviews with selected students and teachers and analysed thematically. Pearson correlation was used to examine the relationship between AI use and critical thinking. The findings revealed a significant positive relationship between AI use and students’ critical thinking skills. Students perceived AI as useful for accessing alternative perspectives, obtaining detailed explanations, and deepening understanding, but also acknowledged that excessive reliance on AI-generated answers could reduce independent thinking. Teachers similarly perceived AI as a valuable learning aid while expressing concerns about dependence and reduced cognitive engagement. The findings indicate that AI can support critical thinking when students actively evaluate, verify, and reflect on AI-generated information rather than use it as a substitute for reasoning. The study recommends AI literacy and guided pedagogical practices that promote responsible, evaluative, and non-dependent AI use in secondary education.

Downloads

Download data is not yet available.

References

C. Zhai, S. Wibowo, and L. D. Li, ‘The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: a systematic review’, Smart Learn. Environ., vol. 11, no. 1, p. 28, Jun. 2024, doi: 10.1186/s40561-024-00316-7.

C. Chan and W. Hu, ‘Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education’, … Journal of Educational Technology in Higher Education, no. Query date: 2024-05-08 10:45:39, 2023, doi: 10.1186/s41239-023-00411-8.

T. Rasul, S. Nair, D. Kalendra, M. Robin, and ..., ‘The role of ChatGPT in higher education: Benefits, challenges, and future research directions’, … of Applied Learning …, no. Query date: 2024-05-08 10:45:39, 2023, [Online]. Available: https://research.aib.edu.au/files/35431301/787_Article_Text_3375_1_10_20230510.pdf

C. Gonsalves, ‘Generative AI’s Impact on Critical Thinking: Revisiting Bloom’s Taxonomy’, Research Portal (King’s College London), vol. 48, no. 1, pp. 4–19, Dec. 2024, doi: 10.1177/02734753241305980.

C. Li, H. Cui, and L. S. Hagedorn, ‘The cognitive impact of ChatGPT in higher education: A systematic review of critical and creative thinking outcomes’, Computers and Education Artificial Intelligence, vol. 10, pp. 100571–100571, Mar. 2026, doi: 10.1016/j.caeai.2026.100571.

Y. Walter, ‘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, vol. 21, no. 1, p. 15, Feb. 2024, doi: 10.1186/s41239-024-00448-3.

C. B. Oribhabor, ‘Evaluating the Effect of Activity Based Method of Teaching Mathematicsn on Nigerian Secondary School Students Achievement in Mathematics’, arXiv (Cornell University), Nov. 2020, doi: 10.48550/arxiv.2011.10785.

I. T. Sanusi, S. A. Olaleye, S. S. Oyelere, and R. A. Dixon, ‘Investigating learners’ competencies for artificial intelligence education in an African K-12 setting’, Computers and Education Open, vol. 3, pp. 100083–100083, Mar. 2022, doi: 10.1016/j.caeo.2022.100083.

I. T. Sanusi et al., ‘Stakeholders’ insights on artificial intelligence education: Perspectives of teachers, students, and policymakers’, Computers and Education Open, vol. 7, pp. 100212–100212, Aug. 2024, doi: 10.1016/j.caeo.2024.100212.

A. Banafa, Introduction to Artificial Intelligence (AI). CRC Press, 2024.

L. Banh and G. Strobel, ‘Generative artificial intelligence’, Electron Markets, vol. 33, no. 1, p. 63, Dec. 2023, doi: 10.1007/s12525-023-00680-1.

N. Dhamani, Introduction to Generative AI. Simon and Schuster, 2024.

Q. Xia, X. Weng, F. Ouyang, T. Lin, and T. K. F. Chiu, ‘A scoping review on how generative artificial intelligence transforms assessment in higher education’, International Journal of Educational Technology in Higher Education, vol. 21, no. 1, May 2024, doi: 10.1186/s41239-024-00468-z.

F. Egara and M. Mosimege, ‘Exploring the Integration of Artificial Intelligence-Based ChatGPT into Mathematics Instruction: Perceptions, Challenges, and Implications for Educators’, Education Sciences, vol. 14, no. 7, pp. 742–742, Jul. 2024, doi: 10.3390/educsci14070742.

F. Egara, M. Mosimege, and M. Mosia, ‘Secondary school students’ perceptions of their usage of artificial intelligence-based ChatGPT in mathematics learning’, Journal of Education, no. 98, pp. 124–146, Mar. 2025, doi: 10.17159/2520-9868/i98a07.

S. Sachdeva and P.-O. Eggen, ‘Learners’ Critical Thinking About Learning Mathematics’, International Electronic Journal of Mathematics Education, vol. 16, no. 3, Jun. 2021, doi: 10.29333/iejme/11003.

D. C. Duru and C. Obasi, ‘Critical Thinking Ability as a Correlate of Students’ Mathematics Achievement: A Focus on Ability Level’, Journal of Instructional Mathematics, vol. 4, no. 1, pp. 41–51, May 2023, doi: 10.37640/jim.v4i1.1753.

A. A. Yaki, ‘Fostering Critical Thinking Skills Using Integrated STEM Approach among Secondary School Biology Students’, European Journal of STEM Education, vol. 7, no. 1, pp. 6–6, Sep. 2022, doi: 10.20897/ejsteme/12481.

A. O. A. Awofala and R. F. Lawal, ‘The Relationship between Critical Thinking Skills and Quantitative Reasoning among Junior Secondary School Students in Nigeria’, JURNAL PENDIDIKAN MATEMATIKA (KUDUS), vol. 5, no. 1, pp. 1–1, Jun. 2022, doi: 10.21043/jpmk.v5i1.14011.

O. A. Etuk-Iren, O. F. Bakre, and R. F. Lawal, ‘Critical Thinking Skills: Comparative Assessment of Further Mathematics and Non-Further Mathematics Students in Public and Private Schools’, Brillo Journal, vol. 4, no. 1, pp. 1–14, Dec. 2024, doi: 10.56773/bj.v4i1.57.

L. C. Otero, A. Catalá, C. Fernández-Morante, M. Taboada, B. C. López, and S. Barro, ‘AI literacy in K-12: a systematic literature review’, International Journal of STEM Education, vol. 10, no. 1, Apr. 2023, doi: 10.1186/s40594-023-00418-7.

I. T. Sanusi, S. S. Oyelere, and J. O. Omidiora, ‘Exploring teachers’ preconceptions of teaching machine learning in high school: A preliminary insight from Africa’, Computers and Education Open, vol. 3, pp. 100072–100072, Dec. 2021, doi: 10.1016/j.caeo.2021.100072.

C. N. Jatileni, I. T. Sanusi, S. A. Olaleye, M. A. Ayanwale, F. J. Agbo, and P. B. Oyelere, ‘Artificial intelligence in compulsory level of education: perspectives from Namibian in-service teachers’, Educ Inf Technol, vol. 29, no. 10, pp. 12569–12596, Jul. 2024, doi: 10.1007/s10639-023-12341-z.

C. O. Nja et al., ‘Adoption of artificial intelligence in science teaching: From the vantage point of the African science teachers’, Smart Learning Environments, vol. 10, no. 1, p. 42, Sep. 2023, doi: 10.1186/s40561-023-00261-x.

P. A. Facione, ‘Critical Thinking: A Statement of Expert Consensus for Purposes of Educational Assessment and Instruction. Research Findings and Recommendations.’, 1990, Accessed: Jul. 30, 2026. [Online]. Available: https://eric.ed.gov/?id=ed315423&utm_source=chatgpt.com

O. S. Falebita, J. A. Abah, A. A. Asanre, T. O. Abiodun, M. A. Ayanwale, and O. K. Ayanwoye, ‘Determinants of Chatbot Brand Trust in the Adoption of Generative Artificial Intelligence in Higher Education’, Education Sciences, vol. 15, no. 10, p. 1389, Oct. 2025, doi: 10.3390/educsci15101389.

O. S. Falebita, O. K. Ayanwoye, L. S. Akinola, and O. D. Akomolafe, ‘Artificial Intelligence Usage and Behavioral Academic Engagement Among Mathematics Undergraduates: The Role of Technology Acceptance and Attitude’, 2327-7955/CGP, Jun. 2026, doi: 10.18848/2327-7955/CGP/A349.

M. J. S. Broussard, ‘Offloading Learning to a Stochastic Parrot: Generative AI’s Impacts on Academic Integrity and the Current State of Best Practices’, Internet Reference Services Quarterly, pp. 1–20, Apr. 2026, doi: 10.1080/10875301.2026.2651693.

M. A. Tashtoush, A. Qasimi, N. Shirawia, and L. A. Hussein, ‘The Efficacy of Utilizing Artificial Intelligence Techniques in Developing Critical Thinking in Mathematics among Secondary School Students and their Attitudes Toward it’, Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 1, Feb. 2025, doi: 10.52866/2788-7421.1231.

Y. Wardat, M. A. Tashtoush, R. AlAli, and A. M. Jarrah, ‘ChatGPT: A revolutionary tool for teaching and learning mathematics’, Eurasia Journal of Mathematics Science and Technology Education, vol. 19, no. 7, May 2023, doi: 10.29333/ejmste/13272.

N. Rehman, W. Zhang, A. Mahmood, M. Z. Fareed, and S. Batool, ‘Fostering twenty-first century skills among primary school students through math project-based learning’, Humanities and Social Sciences Communications, vol. 10, no. 1, Jul. 2023, doi: 10.1057/s41599-023-01914-5.

S. O. Makinde, ‘Impact of Flipped Classroom on Mathematics Learning Outcome of Senior Secondary School Students in Lagos, Nigeria’, African Journal of Teacher Education, vol. 9, no. 2, pp. 23–42, Oct. 2020, doi: 10.21083/ajote.v9i2.6182.

Y. Fan et al., ‘Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance’, British Journal of Educational Technology, vol. 56, no. 2, pp. 489–530, Dec. 2024, doi: 10.1111/bjet.13544.

N. Kanwal, R. B. Rodrigues, and N. Khan, ‘Teachers` Use of Artificial Intelligence to Support Critical Thinking Skills in Private Secondary Schools` Learners: A Perceptual Study’, Voyage Journal of Educational Studies, vol. 6, no. 1, pp. 36–54, Mar. 2026, doi: 10.58622/e391v673.

Downloads

Additional Files

Published

2026-11-08

How to Cite

[1]
O. Falebita and A. E. OTEJU, “Artificial Intelligence Use and Critical Thinking in Nigerian Secondary Schools: Evidence from Students and Mathematics Teachers”, J.Math.Instr.Soc.Res.Opin., vol. 5, no. 4, pp. 2531–2552, Nov. 2026.

Issue

Section

Articles