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Roles and Research Trends of Artificial Intelligence in Mathematics Education: A Bibliometric Mapping Analysis and Systematic Review

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  • Gwo-Jen Hwang

    (Graduate Institute of Digital Learning and Education, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan)

  • Yun-Fang Tu

    (Graduate Institute of Digital Learning and Education, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan)

Abstract

Learning mathematics has been considered as a great challenge for many students. The advancement of computer technologies, in particular, artificial intelligence (AI), provides an opportunity to cope with this problem by diagnosing individual students’ learning problems and providing personalized supports to maximize their learning performances in mathematics courses. However, there is a lack of reviews from diverse perspectives to help researchers, especially novices, gain a whole picture of the research of AI in mathematics education. To this end, this research aims to conduct a bibliometric mapping analysis and systematic review to explore the role and research trends of AI in mathematics education by searching for the relevant articles published in the quality journals indexed by the Social Sciences Citation Index (SSCI) from the Web of Science (WOS) database. Moreover, by referring to the technology-based learning model, several dimensions of AI in mathematics education research, such as the application domains, participants, research methods, adopted technologies, research issues and the roles of AI as well as the citation and co-citation relationships, are taken into account. Accordingly, the advancements of AI in mathematics education research are reported, and potential research topics for future research are recommended.

Suggested Citation

  • Gwo-Jen Hwang & Yun-Fang Tu, 2021. "Roles and Research Trends of Artificial Intelligence in Mathematics Education: A Bibliometric Mapping Analysis and Systematic Review," Mathematics, MDPI, vol. 9(6), pages 1-19, March.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:6:p:584-:d:513988
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    References listed on IDEAS

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    1. Zsuzsanna Katalin Szabo & Péter Körtesi & Jan Guncaga & Dalma Szabo & Ramona Neag, 2020. "Examples of Problem-Solving Strategies in Mathematics Education Supporting the Sustainability of 21st-Century Skills," Sustainability, MDPI, vol. 12(23), pages 1-28, December.
    2. Virginia Clinton & Candace Walkington, 2019. "Interest-enhancing approaches to mathematics curriculum design: Illustrations and personalization," The Journal of Educational Research, Taylor & Francis Journals, vol. 112(4), pages 495-511, July.
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    Citations

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    Cited by:

    1. Mini Zhu & Gang Wang & Chaoping Li & Hongjun Wang & Bin Zhang, 2023. "Artificial Intelligence Classification Model for Modern Chinese Poetry in Education," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
    2. Juhyung Park & Sungtae Kim & Beakcheol Jang, 2023. "Analysis of Psychological Factors Influencing Mathematical Achievement and Machine Learning Classification," Mathematics, MDPI, vol. 11(15), pages 1-13, August.
    3. Petar Radanliev & David Roure & Rob Walton & Max Kleek & Omar Santos & La’Treall Maddox, 2022. "What Country, University, or Research Institute, Performed the Best on Covid-19 During the First Wave of the Pandemic?," Annals of Data Science, Springer, vol. 9(5), pages 1049-1067, October.
    4. Anđelka Štilić & Edisa Puška & Adis Puška & Darko Božanić, 2023. "An Expert-Opinion-Based Evaluation Framework for Sustainable Technology-Enhanced Learning Using Z-Numbers and Fuzzy Logarithm Methodology of Additive Weights," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    5. Jamali, Seyedh Mahboobeh & Nader, Ale Ebrahim & Jamali, Fatemeh, 2021. "The Role of STEM Education in Improving the Quality of Education: A Bibliometric Study," MPRA Paper 114214, University Library of Munich, Germany, revised 02 May 2022.
    6. Sunghwan Hwang, 2022. "Examining the Effects of Artificial Intelligence on Elementary Students’ Mathematics Achievement: A Meta-Analysis," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    7. Ying Yang & Jinruo Qin & Jing Lei & Yanping Liu, 2023. "Research Status and Challenges on the Sustainable Development of Artificial Intelligence Courses from a Global Perspective," Sustainability, MDPI, vol. 15(12), pages 1-20, June.

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