Muhamad Khairul Hakim bin Mahmud
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Muhamad Khairul Hakim bin Mahmud has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Mohamed Zulhilmi bin Mohamed
Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, Perak, Malaysia
1 shared publication - Norhafiza Binti Mat Sabri
Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, Perak, Malaysia
1 shared publication - Nurain Nabilah Binti Suhaizi
Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, Perak, Malaysia
1 shared publication - Riyan Hidayat
SEGi University
1 shared publication - Siti Nurshafikah Binti Baharuddin
Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, Perak, Malaysia
1 shared publication
Latest Publications
- Top Cited PapersOpen Access
- 1 June 2022
- Published by Modestum Ltd in International Electronic Journal of Mathematics Education
- Vol. 17 (3) , em0694
Artificial intelligence in mathematics education: A systematic literature review
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.
- 1 June 2022
- Published by Modestum Ltd in International Electronic Journal of Mathematics Education
- Vol. 17 (3) , em0694
Top Cited PapersOpen AccessArtificial intelligence in mathematics education: A systematic literature review
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.