Asia Pacific Journal of Education and Society
Research Article
2026, 14(2), Article No: 10

AI literacy and self-efficacy as determinants of AI usage among Nigerian Social Studies pre-service teachers

Published in Volume 14 Issue 2: 11 Nov 2026
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Abstract

Artificial intelligence (AI) is reshaping teaching and learning worldwide, yet evidence on what drives its use among teacher trainees in Nigerian Colleges of Education remains limited. This study examined AI literacy and self-efficacy as determinants of AI usage among social studies pre-service teachers in Ogun State Colleges of Education. A descriptive survey design was adopted, and a multistage sampling procedure was used to select 120 social studies pre-service teachers from Sikiru Adetona College of Education, Science and Technology, Omu-Ajose, and Federal College of Education, Osiele, Abeokuta. Data were collected using a validated four-point Likert-scale instrument, the Questionnaire on AI Literacy, Self-Efficacy and AI Usage (QALSAU). Three research questions were answered using frequency counts, percentages, means and standard deviations, while three null hypotheses were tested using Pearson Product-Moment Correlation and multiple regression analysis at the 0.05 level of significance. Results showed that the level of AI literacy among the respondents was high (x̄ = 3.11, SD = 0.89) and their level of AI self-efficacy was likewise high (x̄ = 2.99, SD = 0.96), although actual utilisation of AI tools occurred only to some extent (x̄ = 2.95, SD = 0.95). AI literacy had a significant relationship with AI usage (r = .777, df = 118, p < .05), as did AI self-efficacy (r = .402, df = 118, p < .05). Jointly, the two predictors accounted for 60.1% of the variance in AI usage (R² = .608, F(2, 117) = 90.713, p < .05). The study concludes that competence and confidence jointly drive AI engagement, and recommends structured AI literacy instruction, guided practice and improved digital infrastructure in teacher education programmes.
  • Adedoyin, O. B., & Soykan, E. (2023). Covid-19 pandemic and online learning: The challenges and opportunities. Interactive Learning Environments, 31(2), 863–875. https://doi.org/10.1080/10494820.2020.1813180
  • Adigun, C. J., & Miranda, J. C. (2025). Artificial intelligence in the Philippine educational context: Circumspection and future inquiries. International Journal of Scientific and Research Publications, 13(4), 16–24.
  • Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431–440. https://doi.org/10.1007/s43681-021-00096-7
  • Amuda, J. M. R. (2024). Artificial intelligence (AI) literacy and academic performance of tertiary level students: A preliminary analysis. Social Sciences, Humanities and Education Journal (SHE Journal), 5(2), 309–321.
  • Ayanwale, M. A., Frimpong, E. K., Opesemowo, O. A. G., & Sanusi, I. T. (2025). Exploring factors that support pre-service teachers' engagement in learning artificial intelligence. Journal for STEM Education Research, 8, 199-229 (2025). https://doi.org/10.1007/s41979-024-00121-4
  • Ayanwale, M. A., Molefi, R. R., & Matsie, N. (2024). Modelling secondary school students’ attitudes toward teaching–learning mechanisms of artificial intelligence. Computers and Education: Artificial Intelligence, 6, Article 100200. https://doi.org/10.1016/j.caeai.2024.100200
  • Baker, T., & Smith, L. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. Nesta.
  • Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.
  • Celik, I. (2023). Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138, Article 107468. https://doi.org/10.1016/j.chb.2022.107468
  • Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211. https://doi.org/10.2307/249688
  • Dai, Y., Chai, C. S., Lin, P.-Y., Jong, M. S.-Y., Guo, Y., & Qin, J. (2020). Promoting students’ well-being by developing their readiness for the artificial intelligence age. Sustainability, 12(16), Article 6597. https://doi.org/10.3390/su12166597
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
  • Dergaa, I., Chamari, K., Zmijewski, P., & Ben Saad, H. (2023). From human writing to artificial intelligence generated text: Examining the prospects and potential threats of ChatGPT in academic writing. Biology of Sport, 40(2), 615–622. https://doi.org/10.5114/biolsport.2023.125623
  • Falebita, O. S., & Kok, P. J. (2024). Artificial intelligence tools usage: A structural equation modeling of undergraduates’ technological readiness, self-efficacy and attitudes. Journal for STEM Education Research. https://doi.org/10.1007/s41979-024-00132-1
  • Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
  • Jekayinfa, J. R., Egbetola, O. T., & Oyewole, O. (2025). Integrating AI in teaching family concepts in schools in Nigeria. International Journal of Interdisciplinary and Current Studies in Education, 2, 315–328.
  • Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–16). Association for Computing Machinery. https://doi.org/10.1145/3313831.3376727
  • Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
  • Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, Article 100041. https://doi.org/10.1016/j.caeai.2021.100041
  • Ng, W. (2012). Can we teach digital natives digital literacy? Computers & Education, 59(3), 1065–1078. https://doi.org/10.1016/j.compedu.2012.04.016
  • Ogundipe, O. G., & Oyewole, O. (2025). Technological proficiency and virtual collaboration as predictors of global adaptability among social studies pre-service teachers in Oyo State, Nigeria. African Journal of Social and Behavioural Sciences, 15(1), 166–178.
  • Olasina, G. (2019). Human and social factors affecting the decision of students to accept e-learning. Interactive Learning Environments, 27(3), 363–376. https://doi.org/10.1080/10494820.2018.1474233
  • Oyewole, O., Adediran, Y. O., & Edewor, K. O. (2026). Technological adaptation and classroom diversity as predictors of inclusive teaching practices among social studies pre-service teachers in Ogun State. Ibadan Journal of Child Development and Educational Foundations, 6(1), 125–140.
  • Oyewole, O., & Jatau, S. N. (2025). Technological self-efficacy and online database access as predictors of AI usability for research among social sciences lecturers in Oyo State. Wukari International Studies Journal, 9(1), 210–221.
  • Sanusi, I. T., Ayanwale, M. A., & Tolorunleke, A. E. (2024). Investigating pre-service teachers’ artificial intelligence perception from the perspective of planned behavior theory. Computers and Education: Artificial Intelligence, 6, Article 100202. https://doi.org/10.1016/j.caeai.2024.100202
  • Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, 57(4), 2432–2440. https://doi.org/10.1016/j.compedu.2011.06.008
  • UNESCO. (2023). Guidance for generative AI in education and research. https://doi.org/10.54675/EWZM9535
  • UNESCO. (2024). AI competency framework for teachers. https://doi.org/10.54675/ZJTE2084
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
  • Wang, Y.-Y., & Chuang, Y.-W. (2024). Artificial intelligence self-efficacy: Scale development and validation. Education and Information Technologies, 29(4), 4785–4808. https://doi.org/10.1007/s10639-023-12015-w
  • 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, Article 39. https://doi.org/10.1186/s41239-019-0171-0
APA 7th edition
In-text citation: (Akinsanya & Oshinfowokan, 2026)
Reference: Akinsanya, O. B., & Oshinfowokan, S. A. (2026). AI literacy and self-efficacy as determinants of AI usage among Nigerian Social Studies pre-service teachers. Asia Pacific Journal of Education and Society, 14(2), Article 10. https://doi.org/10.20897/apjes/19935
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Akinsanya OB, Oshinfowokan SA. AI literacy and self-efficacy as determinants of AI usage among Nigerian Social Studies pre-service teachers. Asia Pacific Journal of Education and Society. 2026;14(2), 10. https://doi.org/10.20897/apjes/19935
Chicago
In-text citation: (Akinsanya and Oshinfowokan, 2026)
Reference: Akinsanya, Oluwaseun Bolaji, and Sodiq Adebola Oshinfowokan. "AI literacy and self-efficacy as determinants of AI usage among Nigerian Social Studies pre-service teachers". Asia Pacific Journal of Education and Society 2026 14 no. 2 (2026): 10. https://doi.org/10.20897/apjes/19935
Harvard
In-text citation: (Akinsanya and Oshinfowokan, 2026)
Reference: Akinsanya, O. B., and Oshinfowokan, S. A. (2026). AI literacy and self-efficacy as determinants of AI usage among Nigerian Social Studies pre-service teachers. Asia Pacific Journal of Education and Society, 14(2), 10. https://doi.org/10.20897/apjes/19935
MLA
In-text citation: (Akinsanya and Oshinfowokan, 2026)
Reference: Akinsanya, Oluwaseun Bolaji et al. "AI literacy and self-efficacy as determinants of AI usage among Nigerian Social Studies pre-service teachers". Asia Pacific Journal of Education and Society, vol. 14, no. 2, 2026, 10. https://doi.org/10.20897/apjes/19935
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Akinsanya OB, Oshinfowokan SA. AI literacy and self-efficacy as determinants of AI usage among Nigerian Social Studies pre-service teachers. Asia Pacific Journal of Education and Society. 2026;14(2):10. https://doi.org/10.20897/apjes/19935
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