Email this article 
Integrating Artificial Intelligence (AI) in Mathematics Education: Enhancing Students’ Interest and Achievement through Adaptive Learing Systems
), Theresa Obiageli Maduegbunam(2), Juliana Anayo Odo(3), Ignatius Ifeanyi Adony(4), Festus Sunday Ugwuarua(5), Chidi Nathaniel Agbo(6),
(1) Federal College of Education
(2) Federal College of Education
(3) Federal College of Education
(4) Federal College of Education
(5) Federal College of Education
(6) Federal College of Education
Corresponding Author
Abstract
This study investigates the integration of Artificial Intelligence (AI) into mathematics education as a scientific approach to enhancing students’ interest and achievement in Enugu State, Nigeria. A quasi-experimental design with pre-test and post-test control groups was employed, involving 200 secondary school students. AI-based tools, including adaptive learning systems and intelligent tutoring programs, were used to personalize instruction and provide real-time feedback. Results from paired and independent t-tests revealed significant improvements in students’ interest and performance compared to traditional methods. The increase in engagement occurred because AI adjusted to individual learning paces, thereby reducing anxiety and promoting conceptual understanding. The study concludes that AI integration enhances mathematics learning through data-driven personalization and cognitive support, suggesting its potential as a transformative tool in science and mathematics education aligned with global educational technology standards.
Keywords
References
Albrecht, T., and Oppenheim, J. (2024). Mathematics as a foundation for scientific reasoning and technological innovation. Journal of Science and Education Research, 18(2), 45–58.
Andersson, K., and Gustafsson, P. (2023). Adaptive learning systems and artificial intelligence in mathematics education. Computers & Education, 195, 104683.
Arthur, L., and Quinn, D. (2023). Experimental and quasi-experimental approaches in educational technology research. Educational Research Methods, 42(1), 72–90.
Aydin, M. (2023). Gamified artificial intelligence in mathematics classrooms: Enhancing student motivation and engagement. International Journal of STEM Education, 10(1), 1–14.
Boyd, T., and Knight, S. (2023). Data-driven personalization in mathematics learning environments. Journal of Learning Analytics, 10(3), 25–41.
Chinwe, A., and Onuoha, P. (2024). Artificial intelligence integration in secondary school mathematics: A Nigerian perspective. African Journal of Educational Technology, 8(1), 55–68.
Costa, E., and Silva, F. (2023). Reliability and validity in educational measurement tools: Best practices and challenges. Measurement in Education Journal, 31(4), 201–216.
Dimitriadis, G., and Ioannou, A. (2024). Artificial intelligence as a catalyst for mathematics learning transformation. International Journal of Educational Technology in Higher Education, 21(2), 112–130.
Elakkiya, R., and Subramani, P. (2024). Artificial intelligence and adaptive feedback systems in STEM education: A systematic review. Education and Information Technologies, 29(5), 2341–2359.
Glover, J., and Xu, L. (2024). Scientific literacy and mathematics reasoning in secondary education. International Journal of Science Education, 46(1), 80–95.
Halkiopoulos, C., and Gkintoni, E. (2024). Leveraging AI in e-learning: Personalized learning and adaptive assessment through cognitive neuropsychology—A systematic analysis. Electronics, 13(18), 3762.
Hernandez, L., and Perez, M. (2024). Barriers to student engagement in mathematics learning in Sub-Saharan Africa. Journal of Educational Research in Developing Countries, 9(2), 117–132.
Ismail, M., and Ranjan, K. (2024). AI-based mathematics education in Nigerian secondary schools: Opportunities and challenges. Journal of Digital Education Studies, 7(1), 1–12.
Jones, H. (2023). Exploring student motivation and engagement in AI-supported mathematics learning environments. Journal of Educational Psychology, 115(3), 405–420.
Kadir, R., and Munir, M. (2024). Challenges of traditional mathematics teaching and transition to digital pedagogy. Journal of Mathematics Education and Practice, 14(2), 90–105.
Kaur, P., and Singh, R. (2023). Integrating AI tools for enhancing student motivation in STEM education. Journal of Science and Technology Education, 28(4), 412–429.
Khosravi, S., and Shahbazi, F. (2023). Students’ perceptions of mathematics difficulty and the role of learning technologies. Eurasia Journal of Mathematics, Science and Technology Education, 19(6), 101–115.
Liu, J., and Li, H. (2024). Differentiated instruction through artificial intelligence in mathematics classrooms. Computers in Human Behavior, 150, 107156.
Mensah, P., and Asamoah, S. (2023). Improving mathematics interest through technology-enhanced instruction in West Africa. African Journal of Pedagogical Research, 11(3), 223–239.
Naseer, F., and Khawaja, S. (2025). Mitigating conceptual learning gaps in mixed-ability classrooms: A learning analytics-based evaluation of ai-driven adaptive feedback for struggling learners. Applied Sciences, 15(8), 4473.
Nikolaidou, M. (2023). AI-driven tutoring and formative feedback in science and mathematics learning. Journal of Interactive Learning Research, 34(2), 175–192.
Strielkowski, W., Grebennikova, V., Lisovskiy, A., Rakhimova, G., and Vasileva, T. (2025). AI‐driven adaptive learning for sustainable educational transformation. Sustainable Development, 33(2), 1921-1947.
Wilson, D. (2023). Artificial intelligence as an educational innovation: Opportunities for mathematics teaching. International Journal of Emerging Technologies in Learning, 18(5), 150–167.
Zhao, X., and Yao, J. (2024). Personalized learning and cognitive engagement through AI in mathematics education. Journal of Educational Computing Research, 62(1), 34–49.
Article Metrics
Abstract View
: 0 times
Download : 0 times
Refbacks
- There are currently no refbacks.
Copyright (c) 2025 Bumi Publikasi Nusantara
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
