The Integration of Artificial Intelligence in Mathematics Education: Towards developing a Conceptual Framework for Understanding Student Perspectives in Higher Education

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.

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Publication Details

Journal
E-Journal of Humanities Arts and Social Sciences
Published
2025-09-30
DOI
https://doi.org/10.38159/ehass.202561031
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
1.69
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article

The Integration of Artificial Intelligence in Mathematics Education: Towards developing a Conceptual Framework for Understanding Student Perspectives in Higher Education

Neliswa Gqoli, Joseph Baidoo
1 citations
E-Journal of Humanities Arts and Social Sciences
Online Learning and Analytics
1.69
article

The Integration of Artificial Intelligence in Mathematics Education: Towards developing a Conceptual Framework for Understanding Student Perspectives in Higher Education

Neliswa Gqoli, Joseph Baidoo
article en
1 citations

Abstract

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.

E-Journal of Humanities Arts and Social Sciences
Walter Sisulu University (ZA)
Openalex Percentile: Top 10%
Online Learning and Analytics
1.69
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