APA
In-text citation: (Mohamed et al., 2022)
Reference: Mohamed, M. Z. B., Hidayat, R., Suhaizi, N. N. B., Sabri, N. B. M., Mahmud, M. K. H. B., & Baharuddin, S. N. B. (2022). Artificial intelligence in mathematics education: A systematic literature review.
International Electronic Journal of Mathematics Education, 17(3), em0694.
https://doi.org/10.29333/iejme/12132
AMA
In-text citation: (1), (2), (3), etc.
Reference: Mohamed MZB, Hidayat R, Suhaizi NNB, Sabri NBM, Mahmud MKHB, Baharuddin SNB. Artificial intelligence in mathematics education: A systematic literature review.
INT ELECT J MATH ED. 2022;17(3), em0694.
https://doi.org/10.29333/iejme/12132
Chicago
In-text citation: (Mohamed et al., 2022)
Reference: Mohamed, Mohamed Zulhilmi bin, Riyan Hidayat, Nurain Nabilah binti Suhaizi, Norhafiza binti Mat Sabri, Muhamad Khairul Hakim bin Mahmud, and Siti Nurshafikah binti Baharuddin. "Artificial intelligence in mathematics education: A systematic literature review".
International Electronic Journal of Mathematics Education 2022 17 no. 3 (2022): em0694.
https://doi.org/10.29333/iejme/12132
Harvard
In-text citation: (Mohamed et al., 2022)
Reference: Mohamed, M. Z. B., Hidayat, R., Suhaizi, N. N. B., Sabri, N. B. M., Mahmud, M. K. H. B., and Baharuddin, S. N. B. (2022). Artificial intelligence in mathematics education: A systematic literature review.
International Electronic Journal of Mathematics Education, 17(3), em0694.
https://doi.org/10.29333/iejme/12132
MLA
In-text citation: (Mohamed et al., 2022)
Reference: Mohamed, Mohamed Zulhilmi bin et al. "Artificial intelligence in mathematics education: A systematic literature review".
International Electronic Journal of Mathematics Education, vol. 17, no. 3, 2022, em0694.
https://doi.org/10.29333/iejme/12132
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Mohamed MZB, Hidayat R, Suhaizi NNB, Sabri NBM, Mahmud MKHB, Baharuddin SNB. Artificial intelligence in mathematics education: A systematic literature review. INT ELECT J MATH ED. 2022;17(3):em0694.
https://doi.org/10.29333/iejme/12132
Abstract
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.