The Integration of Artificial Intelligence in Mathematics Education: Towards developing a Conceptual Framework for Understanding Student Perspectives in Higher Education
Neliswa Gqoli 
& Joseph Baidoo
Issue: Vol.6 No.10 Article 31 pp.2660 -2674
DOI: https://doi.org/10.38159/ehass.202561031 | Published online 30th September, 2025
© 2025 The Author(s). This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).
Integrating Artificial Intelligence (AI) into mathematics education signifies a pivotal transformation in pedagogical practices, presenting remarkable opportunities and formidable challenges for educators, policymakers, and learners. This conceptual paper employed a theory synthesis approach to critically analyse the implications of AI adoption in mathematics education, concentrating on three fundamental dimensions: stakeholder roles, implementation pathways, and future trajectories. The investigation explored the potential of AI tools, including platforms like ChatGPT, to mitigate barriers in academic writing and enhance inclusivity in scholarly communication while assessing AI’s broader pedagogical implications for mathematics instruction. The findings indicated that effective AI integration necessitates a balanced framework that harmonises technological infrastructure with pedagogical innovation, all while prioritising educational equity. The paper contributes to the existing literature by offering a structured framework for stakeholder engagement, actionable implementation strategies, and a forward-looking research agenda that underscores the necessity for longitudinal studies, cross-cultural comparative analyses, and adaptive assessment models. Furthermore, it advocates for a synergistic approach that combines traditional methodologies with AI-enhanced techniques, positing that the future of mathematics education hinges on this thoughtful integration. This work aims to foster inclusive and dynamic learning ecosystems in mathematics education by providing theoretical insights and practical guidance, equipping educational institutions, policymakers, and practitioners with the tools necessary to navigate this evolving landscape.
Keywords: Artificial Intelligence in Education, Mathematics Education, Stakeholder Analysis, Educational Technology Integration, Pedagogical Innovation.
Ahmad, Wasim, Ruchika Shokeen, and Rishu Raj. “Artificial Intelligence: Solutions in Special Education.” In Transforming Special Education through Artificial Intelligence, 459–520. IGI Global, 2025.
Al-Sulaiti, Ghanim, Mohammad Amin Sadeghi, Lokendra Chauhan, Ji Lucas, Sanjay Chawla, and Ahmed Elmagarmid. “A Pragmatic Perspective on AI Transparency at Workplace.” AI and Ethics 4, no. 2 (May 30, 2024): 189–200. https://doi.org/10.1007/s43681-023-00257-w.
Alneyadi, Saif, and Yousef Wardat. “Integrating ChatGPT in Grade 12 Quantum Theory Education: An Exploratory Study at Emirate School (UAE).” Intelligence 2, no. 4 (2024).
Baidoo, Joseph, and Kakoma Luneta. “Implementing Blended Learning to Enhance the Teaching of 3-Dimensional Trigonometry.” Journal of Education and E-Learning Research 11, no. 2 (2024): 332–44.
Barnes, Emily, and James Hutson. “Navigating the Ethical Terrain of AI in Higher Education: Strategies for Mitigating Bias and Promoting Fairness.” Forum for Education Studies 2, no. 2 (June 21, 2024): 1229. https://doi.org/10.59400/fes.v2i2.1229.
Busuttil, Leonard, and James Calleja. “Teachers’ Beliefs and Practices about the Potential of ChatGPT in Teaching Mathematics in Secondary Schools.” Digital Experiences in Mathematics Education 11, no. 1 (2025): 140–66.
Chauhan, Deepika, Chaitanya Singh, Romil Rawat, and Manoj Dhawan. “Evaluating the Performance of Conversational AI Tools: A Comparative Analysis.” Conversational Artificial Intelligence, 2024, 385–409.
Davis, Fred D. “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.” MIS Quarterly 13, no. 3 (September 1989): 319. https://doi.org/10.2307/249008.
Gherheș, Vasile, and Ciprian Obrad. “Technical and Humanities Students’ Perspectives on the Development and Sustainability of Artificial Intelligence (AI).” Sustainability 10, no. 9 (August 28, 2018): 3066. https://doi.org/10.3390/su10093066.
Gkintoni, Evgenia, Hera Antonopoulou, Andrew Sortwell, and Constantinos Halkiopoulos. “Challenging Cognitive Load Theory: The Role of Educational Neuroscience and Artificial Intelligence in Redefining Learning Efficacy.” Brain Sciences 15, no. 2 (February 15, 2025): 203. https://doi.org/10.3390/brainsci15020203.
Gomes, Dipta. “A Comprehensive Study of Advancements in Intelligent Tutoring Systems Through Artificial Intelligent Education Platforms.” In Improving Student Assessment With Emerging AI Tools, 213–44. IGI Global Scientific Publishing, 2025.
Gomes, Ricardo Corrêa, Stephen P Osborne, and Patrícia Guarnieri. “Stakeholder Influence and Local Government Performance: A Systematic Literature Review.” Revista de Administração Pública 54, no. 3 (2020): 448–67.
Hlongwane, Joseph, George N Shava, Andrew Mangena, and Tapiwa Muzari. “Towards the Integration of Artificial Intelligence in Higher Education, Challenges and Opportunities: The African Context, a Case of Zimbabwe.” Int J Res Innov Soc Sci 8, no. 3S (2024): 417–35.
Kaplow, Julie B, Britney M Wardecker, Christopher M Layne, Ethan Kross, Amanda Burnside, Robin S Edelstein, and Alan R Prossin. “Out of the Mouths of Babes: Links between Linguistic Structure of Loss Narratives and Psychosocial Functioning in Parentally Bereaved Children.” Journal of Traumatic Stress 31, no. 3 (2018): 342–51.
Kim, Jieun, and Joonho Moon. “Determinants of Usefulness of Chat GPT for Learning in Technology Acceptance Model (TAM) Using Information Credibility, Fun, and Responsiveness and Moderating Role of Fun.” SAGE Open 15, no. 1 (2025): 21582440251320172.
Kohnke, Shalece, and Tiffanie Zaugg. “Artificial Intelligence: An Untapped Opportunity for Equity and Access in STEM Education.” Education Sciences 15, no. 1 (January 11, 2025): 68. https://doi.org/10.3390/educsci15010068.
Li, Dawei, Jinsheng Li, Shiyu Xiang, and Anqi Pan. “PSegNet: Simultaneous Semantic and Instance Segmentation for Point Clouds of Plants.” Plant Phenomics, 2022.
Li, Kongqi, Huatian Wang, Oi-Ling Siu, and Hong Yu. “How and When Resilience Can Boost Student Academic Performance: A Weekly Diary Study on the Roles of Self-Regulation Behaviors, Grit, and Social Support.” Journal of Happiness Studies 25, no. 4 (April 30, 2024): 36. https://doi.org/10.1007/s10902-024-00749-4.
Nwobodo, R. E. “A New Dawn in Africa: Towards an Integration of Artificial Intelligence Into African Education System.” Nnamdi Azikiwe Journal of Philosophy 15, no. 1 (2025).
Opesemowo, Oluwaseyi Aina Gbolade. “ Artificial Intelligence in Mathematics Education: The Pros and Cons.” In Encyclopedia of Information Science and Technology, 6th ed., 1–18. Hershey, Pennsylvania: IGI Global Scientific Publishing, 2025.
Opesemowo, Oluwaseyi, and Mdutshekelwa Ndlovu. “Artificial Intelligence in Mathematics Education: The Good, the Bad, and the Ugly.” Journal of Pedagogical Research 8, no. 3 (2024): 333–46.
Paas, Fred, Alexander Renkl, and John Sweller. “Cognitive Load Theory and Instructional Design: Recent Developments.” Educational Psychologist 38, no. 1 (2003): 1–4.
Pedro, Francesc, Miguel Subosa, Axel Rivas, and Paula Valverde. “Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development,” 2019.
Pepin, Birgit, Nils Buchholtz, and Ulises Salinas-Hernández. “A Scoping Survey of ChatGPT in Mathematics Education.” Digital Experiences in Mathematics Education, 2025, 1–33.
Pereira, Nielsen, Sarah Bright, Zafer Ozen, Shahnaz Safitri, Hernan Castillo-Hermosilla, Brenda C. Matos, Tugce Karatas, and Pedro Fonseca. “A Multitiered Approach to Computer Science Talent Development.” Gifted Child Quarterly 69, no. 2 (April 16, 2025): 130–46. https://doi.org/10.1177/00169862241307662.
Qasim, Syed Hasan. “Beyond the Classroom: Emerging Technologies to Enhance Learning,” 2024.
Richard, Philippe, Pilar Vélez, and Steven Van Vaerenbergh. “Mathematics Education in the Age of Artificial Intelligence.” How Artificial Intelligence Can Serve the Mathematical Human Learning, 2022.
Shah, P. AI and the Future of Education: Teaching in the Age of Artificial Intelligence. John Wiley & Sons, 2023.
Şimşek, Nurullah. “Integration of ChatGPT in Mathematical Story-Focused 5E Lesson Planning: Teachers and Pre-Service Teachers’ Interactions with ChatGPT.” Education and Information Technologies, 2025, 1–72.
Strawn, A. Brent. “‘Comparative Approaches: History, Theories and Image of God’, .” In Method Matters: Essays on Interpretation of the Hebrew Bible in Honor of David L. Peterson, , edited by Joel M. Lemon and Kent Harold Richards. S. Atlanta: ociety of Biblical Literature, 2009.
Sweller, John. Cognitive Load Theory: Recent Theoretical Advances. Cambridge University Press, 2010.
Tashtoush, Mohammad, Yousef Wardat, Rommel Al Ali, and Shoeb Saleh. “Artificial Intelligence in Education: Mathematics Teachers’ Perspectives, Practices and Challenges.” Iraqi Journal for Computer Science and Mathematics 5, no. 1 (2024): 20.
Theobald, Elli J, Mariah J Hill, Elisa Tran, Sweta Agrawal, E Nicole Arroyo, Shawn Behling, Nyasha Chambwe, Dianne Laboy Cintrón, Jacob D Cooper, and Gideon Dunster. “Active Learning Narrows Achievement Gaps for Underrepresented Students in Undergraduate Science, Technology, Engineering, and Math.” Proceedings of the National Academy of Sciences 117, no. 12 (2020): 6476–83.
Yadav, Uma, and Urmila Shrawankar. “Artificial Intelligence across Industries: A Comprehensive Review with a Focus on Education.” In AI Applications and Strategies in Teacher Education, 275–320. IGI Global, 2024.
Yaseen, Husam, Abdelaziz Saleh Mohammad, Najwa Ashal, Hesham Abusaimeh, Ahmad Ali, and Abdel-Aziz Ahmad Sharabati. “The Impact of Adaptive Learning Technologies, Personalized Feedback, and Interactive AI Tools on Student Engagement: The Moderating Role of Digital Literacy.” Sustainability 17, no. 3 (2025): 1133.
Yegblemenawo, Stella Afi Makafui, Mavis Antiri Kodua, and Richard Baffour Okyere. “Placing Languages and Culture in Interventions for Sustainable National Development in Ghana.” Journal of Energy and Natural Resource Management 8, no. 1 (2022): 38–53.
Dr. Neliswa Gqoli is a Senior Lecturer in the Department of Adult and Education Foundations at Walter Sisulu University, South Africa. Her research interests include inclusive education, mathematics teaching and learning, and disability studies. She actively supervises postgraduate students and contributes to developing future educators who understand inclusive pedagogical approaches. Dr Gqoli’s work focuses on making education, particularly mathematics, accessible to diverse learners within South African educational contexts.
Dr. Joseph Baidoo is a Senior Lecturer in the Department of Mathematics, Science and Technology Education at Walter Sisulu University, South Africa. His research interests span mathematics education and teacher training. He is an active member of the Southern African Association for Research in Mathematics, Science and Technology Education (SAARMSTE) and has published several peer-reviewed articles in various journals. He currently supervises postgraduate students, contributing to the development of future educators in mathematics education and teacher education.
Gqoli, Neliswa, and Joseph Baidoo.“ The Integration of Artificial Intelligence in Mathematics Education: Towards developing a Conceptual Framework for Understanding Student Perspectives in Higher Education,” E-Journal of Humanities, Arts and Social Sciences 6, no. 10 (2025): 2660 -2674, https://doi.org/10.38159/ehass.202561031
© 2025 The Author(s). Published and Maintained by Noyam Journals. This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).
