Artificial intelligence in mathematics education: A systematic literature review
Mohamed Zulhilmi bin Mohamed 1 , Riyan Hidayat 1 * , Nurain Nabilah binti Suhaizi 1 , Norhafiza binti Mat Sabri 1 , Muhamad Khairul Hakim bin Mahmud 1 , Siti Nurshafikah binti Baharuddin 1
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1 Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, Perak, MALAYSIA* Corresponding Author


The advancement of technology like artificial intelligence (AI) provides a chance to help teachers and students solve and improve teaching and learning performances. The goal of this review is to add to the conversation by offering a complete overview of AI in mathematics teaching and learning for students at all levels of education. A systematic literature review (SLR) was conducted using established and robust guidelines. We follow the preferred reporting items for systematic reviews and meta-analyses (PRISMA). We searched ScienceDirect, Scopus, Springer Link, ProQuest, and EBSCO Host for 20 AI studies published between 2017 and 2021. The findings of the SLR indicate that AI approach used in mathematics education for the samples studied were through robotics, systems, tools, teachable agent, autonomous agent, and a comprehensive approach. Then, it can be shown that the majority of the collected studies were carried out in the USA and Mexico. The analysis revealed that most of the reviewed studies used quantitative research methods. The types of themes for AI in mathematics education were categorized into advantages and disadvantages, conceptual understanding, factors, role, idea suggestion, strategies and effectiveness.


This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Review Article

INT ELECT J MATH ED, 2022, Volume 17, Issue 3, Article No: em0694

Publication date: 01 Jun 2022

Article Views: 7867

Article Downloads: 12437

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