Artificial Intelligence Powered Assessment in Mathematics: Teachers’ Awareness and Utilisation in Nigeria

Authors

  • Abimbola Ismail Arigbabu Olabisi Onabanjo University, Ago-iwoye, Ogun State.
  • Saka Adewale Owodunni Department of Science and Technology Education Olabisi Onabanjo University, Ago-Iwoye, Nigeria
  • Adewale Kayode Abayomi Department of Counselling psychology and Educational Foundations Tai Solarin University of Education, Ijagun, Nigeria

Keywords:

Artificial intelligence, AI awareness, AI utilisation, Mathematics assessment, Gender differences

Abstract

This study examined mathematics teachers’ awareness and utilisation of AI-powered assessment, focusing on the relationship between awareness and utilisation, as well as gender differences. A descriptive cross-sectional survey design was adopted. Participants comprised 178 respondents purposively selected from all mathematics teachers in Ijebu Ode Local Government Area, Ogun State, Nigeria. Data were collected using the Artificial Intelligence in Mathematics Assessment Questionnaire (AIMAQ) and analysed using mean, correlation, and t-test. Findings revealed high awareness of AI-powered assessment but low utilisation. A strong significant positive relationship existed between awareness and utilisation. Significant gender differences were also found in awareness and utilisation, with male teachers reporting higher mean scores. The study recommends practical professional development and gender-sensitive support to enhance effective adoption of AI-powered assessment in mathematics classrooms.

References

Ade-Ibijola, A., Chikezie, I. J., & Oyelere, S. S. (2025). Human vs. machine marking: a comparative study of chemistry assessments. Journal of Science Education and Technology, 34, 1430–1440. https://doi.org/10.1007/s10956-025-10223-2.

Awofala, A. O. A., & Babajide, V. F. T. (2013). Examining Attitude towards continuous assessment practices among nigerian preservice STM teachers. Journal of Education and Practice, 4(13), 37-49.

Ajai, J. T., & Imoko, B. I. (2014). Gender differences in mathematics achievement and retention scores: A case of problem-based learning method. International Journal of Research in Education and Science, 1(1), 45-50. https://doi.org/10.21890/ijres.76785.

Akoroda, L., & Ugboh, O. (2015). Problems of implementing continuous assessment in secondary schools in Obowo local government area of Imo state, Nigeria. Journal of Technology and Education in Nigeria, 17(2), 37–42. https://doi.org/10.4314/joten.v17i2.

Ayeni, O. O., Al Hamad, N.M., Chisom, O. N., Osawaru, B., & Adewusi, O. E. (2024). AI in education: A review of personalised learning and educational technology. GSC Advanced Research and Reviews, 18(2), 261–271. https://doi.org/10.30574/gscarr.2024.18.2.0062.

Ayodele, C. S. (2015). Improving continuous assessment practice in Nigerian schools. Advances in Social Sciences Research Journal, 2(4). https://doi.org/10.14738/assrj.24.629.

Babatimehin, T., Opesemowo, O. A. G., Ogunsakin, I. B., & Ogungbaigbe, T. S. (2025). Assessing teachers’ knowledge of school based assessment practices in Nigeria secondary schools. Discover Education, 4, 110. https://doi.org/10.1007/s44217-025-00512-8.

Clark, A. K., Hirt, A., Whitcomb, D., Thompson, W. J., Wine, M., & Karvonen, M. (2025). Artificial intelligence in science and mathematics assessment for students with disabilities: Opportunities and challenges. Education Sciences, 15(2), 233. https://doi.org/10.3390/educsci15020233.

Dagnachew, Y., & Sewagegn, T. (2020). Practice and challenges of continuous assessment implementation in Injibara College of Teachers’ Education: Focus on regular mathematics students. Research on Humanities and Social Sciences, 10(17), 40–45.

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.

Ertmer, P. A., & Ottenbreit-Leftwich, A. T. (2010). Teacher technology change: How knowledge, confidence, beliefs, and culture intersect. Journal of Research on Technology in Education, 42(3), 255–284. https://doi.org/10.1080/15391523.2010.10782551.

Ezimadu, S.O., Odola, P.A., Okwa, F.O., & Ezimadu, P. E. (2024). Predicting graduation performance through transformed admission data and first year grades using multiple regression and ANOVA: A case study of Delta State University. Scientia Africana, 23(4), 187–202.

Fartușnic, R., Istrate, O., & Fartușnic, C. (2025). Beyond automation: A conceptual framework for AI in educational assessment. Journal of Digital Pedagogy, 4(1), 83–102. https://doi.org/10.61071/JDP.2555.

Federal Republic of Nigeria (2014). National policy on education. Abuja: NERDC.

Gada, B. A., & Muhammed. M. (2025). Effects of computer-assisted instruction on college of education students’ motivation in mathematics in Sokoto State, Nigeria. International Journal of Computer Science and Mathematical Theory, 11(5), 10-17. https://doi.org/10.56201/ijcsmt.vol.11.no5.2025.pg10.17.

Grassini, S., Thorp, S. O., Ree, A. S., Sevic, A., & Cipriani, E. (2025). Distinct predictors of positive attitudes toward artificial intelligence and general technology: big five traits, gender, and age. Behaviour and Information Technology, 1–14. https://doi.org/10.1080/0144929x.2025.2598623

Hassan, A. S., & Harande, Y. I. (2025). Awareness and utilization of artificial intelligence by undergraduate students for academic activities in Northwest University, Kano. Nigerbiblios: Journal of National Library of Nigeria, 35(1), 19–29.

Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education promises and implications for teaching and learning. Center for Curriculum Redesign. https://curriculumredesign.org/wp-content/uploads/AIED-Book-Excerpt-CCR.pdf.

Hunziker, S., & Blankenagel, M. (2024). Cross-sectional research design. Research Design in Business and Management, 187–199. https://doi.org/10.1007/978-3-658-34357-6_10.

Iddrisu, H. M., Iddrisu, S. A., & Aminu, B. (2025). Gender differences in the adoption, usage, and perceived effectiveness of AI writing tools: A study among universi development studies students. International Journal of Educational Innovation and Research, 4(1), 110–111. https://doi.org/10.31949/ijeir.v4i1.11717.

Ituma, S. C., Nwoye, M. N., Ugwuanyi, C. C., Oguguo, B. C. E., & Ukwueze, T. C. (2025). SSCE and UTME as correlates of undergraduate students’ academic achievement in mathematics. International Journal of Research and Innovation in Applied Science, X(I), 543–551. https://doi.org/10.51584/ijrias.2025.1001042.

Jukiewicz, M., & Wyrwa, M. (2026). Can ChatGPT replace the teacher in assessment? a review of research on the use of large language models in grading and providing feedback. Applied Sciences, 16(2), 680. https://doi.org/10.3390/app16020680.

Kaur, K. (2021). Role of artificial intelligence in education: Peninsula College Central Malaysia. International Journal of Academic Research in Progressive Education and Development, 10(2), 1006–1016.

Matobobo, C. (2026). A systematic review of gender differences in students’ use of AI tools for learning in higher education. Discover Education, 5(90). https://doi.org/10.1007/s44217-026-01116-6.

Menéndez, I. Y. C., Napa, M. A. C., Moreira, M. L. M., & Zambrano, G. G. V. (2019). The importance of formative assessment in the learning teaching process. International Journal of Social Sciences and Humanities, 3(2), 238–249. https://doi.org/10.29332/ijssh.v3n2.322.

Møgelvang, A., Bjelland, C., Grassini, S., & Ludvigsen, K. (2024). Gender differences in the use of generative artificial intelligence chatbots in higher education: Characteristics and consequences. Education Sciences, 14(12), 1363. https://doi.org/10.3390/educsci14121363.

Mohammedseid, A. (2018). Challenges in implementing continuous assessment. International Journal of Innovations in TESOL and Applied Linguistics, 4(2).

Morris, W., Holmes, L., Choi, J. S., & Crossley, S. (2024). Automated scoring of constructed response items in math assessment using large language models. International Journal of Artificial Intelligence in Education, 35, 559–586. https://doi.org/10.1007/s40593-024-00418-w.

Nortvedt, G. A., & Buchholtz, N. (2018). Assessment in mathematics education: Responding to issues regarding methodology, policy, and equity. ZDM Mathematics Education, 50, 555–570. https://doi.org/10.1007/s11858-018-0963-z.

Olarewaju, A. O., Moshood, A., Awoyemi, S. A. (2025). Pre-service teachers’ awareness and utilisation of ai tools in mathematics education: Evidence from Kwara State, Nigeria. Al-Hikmah Journal of Education, 12(1), 86-79.

Okafor, W.N., & Anyanwu, A.N. (2025). Teachers’ awareness and utilisation of artificial intelligence (AI) tools for curriculum implementation in secondary schools in Anambra State. Journal of Guidance and Counselling Studies, 9(1), 152-161.

Organisation for Economic Co-operation and Development. (2023). Student assessment. UNESCO Publishing. https://www.oecd.org/en/topics/student-assessment.html.

Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics Science and Technology Education, 19(8), https://doi.org/10.29333/ejmste/13428.

Rogers, E. M. (1983). Diffusion of innovations (3rd ed.). Free Press. https://teddykw2.files.wordpress.com/2012/07/everett-m-rogers-diffusion-of-innovations.pdf.

Samaila, K., Abdulfattah, K., Babatunde, O.M., Akindele, N.A. (2024). Teachers’ awareness and readiness to use ai assessment methods in Kwara State, Nigeria. International Journal of Innovative Technology Integration in Education, 7(2), 39-46.

Senouci, M. (2022). Continuous assessment in higher education: EFL teachers’ practices & challenges. Aleph, 9(3), 359-377. https://asjp.cerist.dz/en/article/198105.

Srivastava, S. (2023). The Evolution of education: Navigating 21st-century challenges. International Journal for Multidisciplinary Research, 5(5).

Thomas, G., Gambari, A. I., Yusuf, H. T., Abanikannda, M. O., & Daramola, F. O. (2024). Assessment of lecturers’ awareness of artificial intelligence for education in a Nigerian university. Educational Technology Quarterly, 2024(4), 378–389. https://doi.org/10.55056/etq.777.

Umeji, I. C. (2025). Impact of continuous assessment on primary education students’ attitude towards learning in Tertiary Institutions in Anambra State, Nigeria. Jurnal Indonesia Pendidikan Profesi Guru, 2(1), 50–59. https://doi.org/10.64420/jippg.v2i1.251.

United Nations Educational, Scientific and Cultural Organization. (2021). AI and education: Guidance for policy-makers. UNESCO Publishing. https://www.unesco.org/en/articles/ai-and-education-guidance-policy-makers.

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.

Viberg, O., Cukurova, M., Feldman-Maggor, Y., Alexandron, G., Shirai, S., Kanemune, S., Wasson, B., Tømte, C., Spikol, D., Milrad, M., Coelho, R., & Kizilcec, R. F. (2023). What explains teachers’ trust of ai in education across six countries?. International Journal of Artificial Intelligence in Education, 35, 1288–1316. https://doi.org/10.1007/s40593-024-00433-x.

Vinothkumar, K. & Saratha, M. (2024). Awareness on artificial intelligence tools and applications among post graduate students in Madurai District. International Journal of Research Publication and Reviews, 5(2), 2915-2919.

Yashim, A.U. & Jibrin, S.K. (2020). Continuous assessment in education: Problems and prospects. JETP Online Journal, 1(1). http://independent.academia.edu/leagueofresearchers.

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. https://doi.org/10.1186/s41239-019-0171-0

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Published

2026-06-17