Exploring the Potential of Artificial Intelligence Tools in Teaching and Learning: Mathematics Education Considerations
DOI:
https://doi.org/10.64348/zije.2025215Keywords:
Mathematics, Mathematics Education, e – Learning, Artificial Intelligence, AI toolsAbstract
This position paper is an exposition of the practical relevance of Artificial Intelligent (AI) to the teaching and learning Mathematics, the bedrock of science, and a foundation knowledge for scientific development and economic growth of every nation. Mathematics is an academic discipline that embraces all courses, scientific models, critical thinking, creative thinking, problem-solving and development of Artificial Intelligent (AI). AI is transforming various fields of human endeavors, including health care, politics, economics, research and education. The rapid development of AI technology has become a need for mathematics educators, to enhancing teaching and learning of mathematics. Therefore, the concept of AI is examined along its benefits in teaching and learning of mathematics. The paper also explained some AI tools use in mathematics classroom, such as MathGPTPro, Wolfram Alpha, Julius AI, Maple calculator, etc. It then highlighted some constrictions in using AI tools in teaching and learning of mathematics. In conclusion, utilizing AI tools has a lot of benefits, as such mathematics educators, curriculum planners and stakeholders in the education industry must put their hands on desk to maximize the merits of AI in mathematics teaching-learning, while mitigating associated challenges. It is recommended that Educators and developers should collaborate to create AI powered resources that cater for diverse learning needs and styles, Teacher professional development programs should also be designed to support the effective integration of AI tools in mathematics education.
References
Adelana, O. P., Ayanwale, M. A., Ishola, A. M., Oladeja, A. I., & Adewuyi, H. O. (2023). Exploring pre-service teachers’ intention to use virtual reality: A mixed method approach. Computers and Education: x Reality, 3, 100045.10.1016/j.cexr.2023.100045 DOI: https://doi.org/10.1016/j.cexr.2023.100045
Alam, A. (2022). Educational robotics and computer programming in early childhood education: A conceptual framework for assessing elementary school students’ computational thinking for designing powerful educational scenarios: International Conference on Smart Technologies and Systems for Next Generation Computing(ICSTSNGC) DOI: https://doi.org/10.1109/ICSTSN53084.2022.9761354
Asha, A. & Herrmann, H. (2021). Artificial intelligence and fintech: An overview of opportunities and risks for banking, investments, and macro finance strategic change, 30(3), 211- 222 DOI: https://doi.org/10.1002/jsc.2404
Bairaktarova, D., et al. (2021). Artificial intelligence in education: A review of the literature. Journal of Educational Computing Research, 64(4), 419-437.
Egara, F. O., Nzendibe, A. C., Inweregbuh, O. C., Osakwe, I. J. & Okeke, A. M. (2020). Secondary school students’ perception of e-learning in the study of mathematics amidst Covid-19 pandemic. Abacus The Journal of Mathematical Association of Nigeria, 49(1), 344 – 359
Elliott, D., & Soifer, E. (2022). Artificial Intelligence technologies, privacy, and security frontiers in Artificial Intelligence, 5,826737.10.3389/frai.2022.8263375493613 DOI: https://doi.org/10.3389/frai.2022.826737
Ifenthaler, D., & Yau, J. (2020). Artificial intelligence in education: A review of the current state of the art. Educational Technology Research and Development, 68(1), 15-34. DOI: https://doi.org/10.1007/s11423-020-09788-z
Kearns, D. T. (2018). Artificial intelligence in education: Opportunities and challenges. Journal of Educational Data Mining, 10(1), 1-15.
Khalid, F., Joyes, G., Ellison, L. & David, M. D. (2024). Factors influencing teachers’ level of participation in online communities. International Educational Studies, 7, 23 – 32 DOI: https://doi.org/10.5539/ies.v7n13p23
Mailizar, M., Manlina, S. & Bruce, S. (2020). Secondary school mathematics teachers’ views on e-learning implementation barriers during COVID- 19 pandemic: The case study of Indonesia. Eurasia Journal of Mathematics, Science and Educational Technology, 11(7), 1 - 9 DOI: https://doi.org/10.29333/ejmste/8240
Mohammed, M. Z., Hidayat, R. Suhaizi, N. N., Sabri, N. B., Mahmud, M.K. & Baharuddi, S. N. (2022). Artificial Intelligence in mathematics education: A systematic literature review. International Electronic Journal of Mathematics Educ, 17(3), 69-145 DOI: https://doi.org/10.29333/iejme/12132
National Council of Teachers of Mathematics (2014). Principles to Action: Ensuring Mathematical Success for all. Reston, VA: Author
Ngwu, O. G. (2015). The effect of e –learning on secondary school students’ interest in basic statistics. The International Conference on E – Learning in the Workplace, June 10th – 12th, 2015 New York, NY, USA, 1 – 5 http://www.icew.org
Nwoke, N., & Anaekwe, E. (2023). Diagnosis and remediation of mathemaphobia among junior secondary students in Etche Local Government Area of River State, FNAS, Journal of Mathematics and Science Education, 4(1), 51 -59
Owan, V. J., Abang, K. B. & Idika, D. O. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics, Science and Educational Technology, 19(8), 1305 -8223(online) DOI: https://doi.org/10.29333/ejmste/13428
Owolabi, Y. T., Lawal, A. A. & Issa, A. R. (2021). Benefits and constrictions of using ICT in teaching mathematics in Nigeria schools, Nigerian Journal of Educational Studies and Research (NJESR), 14(1), 78 -89
Spencer, P. & Fibersima, A. R. (2023). Artificial Intelligence driven medical diagnostic systems for quality service delivery and business prospects, FNAS, Journal of Mathematics and Science Education, 5(1), 133 -142
Zakirayya, A.A., Ahmad, M. U. & Kure, D. I (2024). Promoting diversity and inclusiveness in the learning of mathematics through the use of artificial intelligence. A Paper Presented at 60th Annual MAN National Conference
Zawacki-Richter, O., et al. (2019). Systematic review of research on artificial intelligence in education. International Journal of Artificial Intelligence in Educ, 29(1), 39-61. DOI: https://doi.org/10.1186/s41239-019-0171-0
