IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i6p584-d513988.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/6/584/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/9/6/584/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jason D. Johnson & Linda Smail & Darryl Corey & Adeeb M. Jarrah, 2022. "Using Bayesian Networks to Provide Educational Implications: Mobile Learning and Ethnomathematics to Improve Sustainability in Mathematics Education," Sustainability, MDPI, vol. 14(10), pages 1-20, May.
    2. Meng-Leong How, 2022. "Advancing Multidisciplinary STEM Education with Mathematics for Future-Ready Quantum Algorithmic Literacy," Mathematics, MDPI, vol. 10(7), pages 1-16, April.
    3. Ana Caballero-Carrasco & Lina Melo-Niño & Luis Manuel Soto-Ardila & Luis M. Casas-García, 2021. "Efficacy of an Emotional and Cognitive Regulation Programme for Mathematics Problems Solving," Sustainability, MDPI, vol. 13(21), pages 1-15, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:6:p:584-:d:513988. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.