DOI QR코드

DOI QR Code

Transforming mathematics education with AI: Innovations, implementations, and insights

  • Sheunghyun Yeo (Daegu National University of Education) ;
  • Jewoong Moon (The University of Alabama) ;
  • Dong-Joong Kim (Korea University)
  • Published : 2024.05.31

Abstract

The use of artificial intelligence (AI) in mathematics education has advanced as a means for promoting understanding of mathematical concepts, academic achievement, computational thinking, and problem-solving. From a total of 13 studies in this special issue, this editorial reveals threads of potential and future directions to advance mathematics education with the integration of AI. We generated five themes as follows: (1) using ChatGPT for learning mathematical content, (2) automated grading systems, (3) statistical literacy and computational thinking, (4) integration of AI and digital technology into mathematics lessons and resources, and (5) teachers' perceptions of AI education. These themes elaborate on the benefits and opportunities of integrating AI in teaching and learning mathematics. In addition, the themes suggest practical implementations of AI for developing students' computational thinking and teachers' expertise.

Keywords

References

  1. Awoyemi, I. D., Mercado, F. M. S., & Moon, J. (2024). A narrative review on immersive virtual reality in enhancing high school students' mathematics competence: From TPACK perspective. The Mathematical Education, 63 (2), 295-318.
  2. Choi, I. Y., Kim, H. G., Jung, I. W., & Song, M. H. (2024). Automatic scoring of mathematics descriptive assessment using random forest algorithm. The Mathematical Education, 63 (2), 165-186.
  3. Crompton, H., Jones, M. V., & Burke, D. (2024). Affordances and challenges of artificial intelligence in K-12 education: A systematic review. Journal of Research on Technology in Education, 56 (3), 248-268. https://doi.org/10.1080/15391523.2022.2121344
  4. Hwang, G. J., & Tu, Y. F. (2021). Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Mathematics, 9 (6), 584. https://doi.org/10.3390/math9060584
  5. Jin, H. S., & Suh, B. (2024). Research on a statistics education program utilizing deep learning predictions in high school mathematics. The Mathematical Education, 63 (2), 209-231.
  6. Kim, C., & Chang, H. (2024). A case study of elementary school mathematics-integrated classes based on AI Big Ideas for fostering AI thinking. The Mathematical Education, 63 (2), 255-272.
  7. Kim, J. (2024). An analysis of perceptions of elementary teachers and secondary mathematics teachers on the use of artificial intelligence (AI) in mathematics education. The Mathematical Education, 63 (2), 351-368.
  8. Lee, D., & Yeo, S. (2022). Developing an AI-based chatbot for practicing responsive teaching in mathematics. Computers & Education, 191, 104646. https://doi.org/10.1016/j.compedu.2022.104646
  9. Lee, K. H., Yeo, S., Tak, B., Choi, J. H., Son, T., & Ock, J. (2024a). A study on the factors of elementary school teachers' intentions to use AI math learning system: Focusing on the case of TocToc-Math. The Mathematical Education, 63 (2), 335-350.
  10. Lee, S. G., Park, D., Lee, J. Y., Lim, D. S., & Lee, J. H. (2024b). Use of ChatGPT in college mathematics education. The Mathematical Education, 63 (2), 123-138.
  11. Mariotti, M. A. (2019). The contribution of information and communication technology to the teaching of proof. In G. Hanna, D. A. Reid, & M. de Villiers (Eds.), Proof Technology in mathematics Research and Teaching (pp. 173-195). Springer. https://doi.org/10.1007/978-3-030-28483-1_8
  12. Moore, R. L., Jiang, S., & Abramowitz, B. (2023). What would the matrix do?: A systematic review of K-12 AI learning contexts and learner-interface interactions. Journal of Research on Technology in Education, 55 (1), 7-20.
  13. Oh, Y. S., & Kim, D. J. (2024). An analysis of discursive constructs of AI-based mathematical objects used in the optimization content of AI mathematics textbooks. The Mathematical Education, 63 (2), 319-334.
  14. Park, H. J., & Manley, S. (2024). Using ChatGPT as a proof assistant in a mathematics pathways course. The Mathematical Education, 63 (2), 139-163.
  15. Saralar-Aras, I., & Cicek Schoenberg, Y. (2024). Unveiling the synergistic nexus: AI-driven coding integration in mathematics education for enhanced computational thinking and problem-solving. The Mathematical Education, 63 (2), 233-254.
  16. Shin, B., Lee, J., & Yoo, Y. (2024). Exploring automatic scoring of mathematical descriptive assessment using prompt engineering with the GPT-4 model: Focused on permutations and combinations. The Mathematical Education, 63 (2), 187-207.
  17. Son, T., Yeo, S., & Lee, D. (2024). Exploring elementary preservice teachers' responsive teaching in mathematics through an artificial intelligence-based Chatbot. Teaching and Teacher Education, 146 , 104640. https://doi.org/10.1016/j.tate.2024.104640
  18. Vygotsky, L. S. (1986). Thought and language . MIT Press.
  19. Yeo, J., Son, T., & Song, Y. (2024). Preservice teachers' evaluation of artificial intelligence-based math support system: Focusing on TocToc-Math. The Mathematical Education, 63 (2), 369-385.
  20. Yuk, J., Huh, N., & Ko, H. (2024). A case study on middle school classes utilizing the math learning application 'Sussam'. The Mathematical Education, 63 (2), 273-294.