Abstract
Technology plays an important role in mathematics education around the world. Artificial intelligence (AI) is one of the products of technology that is widely used in academic activities, which is also accompanied by many studies examining the use of Artificial intelligence in mathematics education. This paper aims to look at the research trends on AI in mathematics education. The Systematic Literature Review (SLR) method was used to review 35 articles from internationally reputable journals obtained from Scopus. The article search process used keywords namely AI, Artificial Intelligence, and mathematics education. The findings showed a sharp spike in the publication of AI articles in 2024, especially on chatbots. Chatbots have become the focus of AI research in mathematics education and are mostly conducted at the college level with student subjects. The application of AI in mathematics education is characterized by the function of AI to realize personalized learning. Finally, this paper recommends that future research should increase the diversity of research related to AI in mathematics education, especially among teachers and students at various levels given that students today can easily access AI. Debriefing on maintaining academic ethics is also needed to avoid misuse of AI in mathematics education.
Keywords
- Memory
References
- 1. Agung, G., Jayantika1, T., & Namur, G. (2022). Peran teknologi pembelajaran dalam meningkatkan literasi digital matematika. Indonesian Journal of Educational Development, 3(2). https://doi.org/10.5281/zenodo.7033331
- 2. Alvarez, J. I. (2024). Evaluating the impact of AI–Powered tutors MATHGPT and FLEXI 2.0 in enchanging calculus learning. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 8(2), 495–508. https://doi.org/10.22437/jiituj.v8i2.34809
- 3. Annuš, N., & Kmeť, T. (2024). Learn with M.E.—let us boost personalized learning in K-12 math education! Education Sciences, 14(7). https://doi.org/10.3390/educsci14070773
- 4. Bayaga, A. (2024). Enhancing mathematics problem-solving skills in AI-driven environment: Integrated SEM-neural network approach. Computers in Human Behavior Reports, 16, 100491. https://doi.org/10.1016/J.CHBR.2024.100491
- 5. Boob, A., & Radke, M. (2024). Leveraging two-level deep learning classifiers for 2D shape recognition to automatically solve geometry math word problems. Pattern Analysis and Applications, 27(3). https://doi.org/10.1007/S10044-024-01321-9
- 6. Chou, C. M., Shen, T. C., Shen, T. C., & Shen, C. H. (2023). The level of perceived efficacy from teachers to access AI-based teaching applications. Research and Practice in Technology Enhanced Learning, 18, 021–021. https://doi.org/10.58459/RPTEL.2023.18021
- 7. Daher, W., & Gierdien, F. (2024). Use of Language By generative AI Tools in Mathematical Problem Solving: The Case of ChatGPT. African Journal of Research in Mathematics, Science and Technology Education, 28(2), 222–235. https://doi.org/10.1080/18117295.2024.2384676
- 8. Delima, N., Kusuma, D. A., & Paulus, E. (2024). The students’ mathematics self-regulated learning and mathematics anxiety based on the use of ChatGPT, music, study program, and academic achievement. Infinity Journal, 13(2), 349–362. https://doi.org/10.22460/infinity.v13i2.p349-362
- 9. Dwiyama, F. (2021). Pemasaran pendidikan menuju era revolusi industri 5.0. Jurnal Manajemen Pendidikan Islam, 11(1), 24–34.
- 10. Getenet, S. (2024). Pre-service teachers and ChatGPT in multistrategy problem-solving: Implications for mathematics teaching in primary schools. International Electronic Journal of Mathematics Education, 19(1). https://doi.org/10.29333/iejme/14141
- 11. Gouia-Zarrad, R., & Gunn, C. (2024). Enhancing students’ learning experience in mathematics class through ChatGPT. International Electronic Journal of Mathematics Education, 19(3), em0781. https://doi.org/10.29333/IEJME/14614
- 12. Hasanah, U., Safitri, I., Rukiah, R., & Nasution, M. (2021). Menganalisis perkembangan media pembelajaran matematika terhadap hasil belajar berbasis game. Indonesian Journal of Intellectual Publication, 1(3), 204-211. https://doi.org/10.51577/ijipublication.v1i3.125
- 13. Inoferio, H. V., Espartero, M. M., Asiri, M. S., Damin, M. D., & Chavez, J. V. (2024). Coping with math anxiety and lack of confidence through AI-assisted Learning. Environment and Social Psychology, 9(5). https://doi.org/10.54517/esp.v9i5.2228
- 14. Lee, I., & Perret, B. (2022). Preparing high school teachers to integrate AI methods into STEM classrooms. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 12783–12791. https://doi.org/10.1609/AAAI.V36I11.21557
- 15. Norberg, K. A., Almoubayyed, H., De Ley, L., Murphy, A., Weldon, K., & Ritter, S. (2024). Rewriting content with GPT-4 to support emerging readers in adaptive mathematics software. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-024-00420-2
- 16. Qiu, Y., Pan, J., & Ishak, N. A. (2022). Effectiveness of artificial intelligence (AI) in improving pupils’ deep learning in primary school mathematics teaching in Fujian province. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/1362996
- 17. Siagian, H. F. A. S. (2023, March 30). Mengenal revolusi industri 5.0. Kementerian Keuangan Republik Indonesia. https://www.djkn.kemenkeu.go.id/kpknl-lahat/baca-artikel/16023/Mengenal-Revolusi-Industri-50.html
- 18. Sudjana, N., & Rivai, A. (2010). Media Pembelajaran. Sinar Baru Algensindo.
- 19. Thomas, D. R., Lin, J., Gatz, E., Gurung, A., Gupta, S., Norberg, K., Fancsali, S. E., Aleven, V., Branstetter, L., Brunskill, E., & Koedinger, K. R. (2023). Improving student learning with hybrid human-AI tutoring: A three-study quasi-experimental Investigation. ACM International Conference Proceeding Series, 1, 404–415. https://doi.org/10.1145/3636555.3636896
- 20. Torres-Peña, R. C., Peña-González, D., Chacuto-López, E., Ariza, E. A., & Vergara, D. (2024). Updating calculus teaching with AI: A Classroom Experience. Education Sciences, 14(9). https://doi.org/10.3390/educsci14091019
- 21. Udias, A., Alonso-Ayuso, A., Alfaro, C., Algar, M. J., Cuesta, M., Fernández-Isabel, A., Gómez, J., Lancho, C., Cano, E. L., Martín de Diego, I., & Ortega, F. (2024). ChatGPT’s performance in university admissions tests in mathematics. International Electronic Journal of Mathematics Education , 19(4). https://doi.org/10.29333/IEJME/15517
- 22. Urban, M., Děchtěrenko, F., Lukavský, J., Hrabalová, V., Svacha, F., Brom, C., & Urban, K. (2024). ChatGPT improves creative problem-solving performance in university students: An experimental study. Computers & Education, 215, 105031. https://doi.org/10.1016/J.COMPEDU.2024.105031
- 23. Walkington, C., & Bernacki, M. L. (2019). Personalizing algebra to students’ individual interests in an intelligent tutoring system: moderators of impact. International Journal of Artificial Intelligence in Education, 29(1), 58–88. https://doi.org/10.1007/s40593-018-0168-1
- 24. Wardat, Y., Tashtoush, M. A., AlAli, R., & Jarrah, A. M. (2023). ChatGPT: A revolutionary tool for teaching and learning mathematics. Eurasia Journal of Mathematics, Science and Technology Education, 19(7). https://doi.org/10.29333/ejmste/13272
- 25. Wardat, Y., Tashtoush, M. A., AlAli, R., & Saleh, S. (2024). Artificial intelligence in education: mathematics teachers’ perspectives, practices and challenges. Iraqi Journal for Computer Science and Mathematics, 5(1), 20. https://doi.org/10.52866/ijcsm.2024.05.01.004
- 26. Wu, T.-T., Lee, H.-Y., Chen, P.-H., Lin, C.-J., & Huang, Y.-M. (2024). Integrating peer assessment cycle into ChatGPT for STEM education: A randomised controlled trial on knowledge, skills, and attitudes enhancement. Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.13085
- 27. Yunianto, W., Lavicza, Z., Kastner-Hauler, O., & Houghton, T. (2024). Investigating the use of ChatGPT to solve a GeoGebra based mathematics+computational thinking task in a geometry topic. Journal on Mathematics Education, 15(3), 1027–1052. https://doi.org/10.22342/jme.v15i3.pp1027-1052