Mathematics In Artificial Intelligence Pdf

Article Menu

/ajax/scifeed/subscribe

Open Access Review

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

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

Author to whom correspondence should be addressed.

Academic Editor: Heui Seok Lim

Received: 15 February 2021 / Revised: 5 March 2021 / Accepted: 6 March 2021 / Published: 10 March 2021

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. View Full-Text

► ▼ Show Figures

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

SciFeed

Share and Cite

MDPI and ACS Style

Hwang, G.-J.; Tu, Y.-F. Roles and Research Trends of Artificial Intelligence in Mathematics Education: A Bibliometric Mapping Analysis and Systematic Review. Mathematics 2021, 9, 584. https://doi.org/10.3390/math9060584

AMA Style

Hwang G-J, Tu Y-F. Roles and Research Trends of Artificial Intelligence in Mathematics Education: A Bibliometric Mapping Analysis and Systematic Review. Mathematics. 2021; 9(6):584. https://doi.org/10.3390/math9060584

Chicago/Turabian Style

Hwang, Gwo-Jen, and Yun-Fang Tu. 2021. "Roles and Research Trends of Artificial Intelligence in Mathematics Education: A Bibliometric Mapping Analysis and Systematic Review" Mathematics 9, no. 6: 584. https://doi.org/10.3390/math9060584

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

For more information on the journal statistics, click here.

Multiple requests from the same IP address are counted as one view.

Article Access Map by Country/Region

Author Biographies

Gwo-Jen Hwang, Ph.D., is a Chair Professor in the Graduate Institute of Digital Learning and Education, National Taiwan University of Science and Technology, Taiwan. His research interests include mobile learning, digital game-based learning, flipped classrooms, and AI in education. His research interests include mobile and ubiquitous learning, digital game-based learning, flipped classroom, and artificial intelligence in education.

Yun-Fang Tu, Ph.D., is a researcher at the Graduate Institute of Digital Learning and Education, National Taiwan University of Science and Technology, Taiwan. Her research interests include digital library, mobile, and ubiquitous learning.