International Electronic Journal of Mathematics Education

International Electronic Journal of Mathematics Education
Artificial intelligence in mathematics education: A systematic literature review
APA
In-text citation: (Mohamed et al., 2022)
Reference: Mohamed, M. Z. B., Hidayat, R., Suhaizi, N. N. B., Sabri, N. B. M., Mahmud, M. K. H. B., & Baharuddin, S. N. B. (2022). Artificial intelligence in mathematics education: A systematic literature review. International Electronic Journal of Mathematics Education, 17(3), em0694. https://doi.org/10.29333/iejme/12132
AMA
In-text citation: (1), (2), (3), etc.
Reference: Mohamed MZB, Hidayat R, Suhaizi NNB, Sabri NBM, Mahmud MKHB, Baharuddin SNB. Artificial intelligence in mathematics education: A systematic literature review. INT ELECT J MATH ED. 2022;17(3), em0694. https://doi.org/10.29333/iejme/12132
Chicago
In-text citation: (Mohamed et al., 2022)
Reference: Mohamed, Mohamed Zulhilmi bin, Riyan Hidayat, Nurain Nabilah binti Suhaizi, Norhafiza binti Mat Sabri, Muhamad Khairul Hakim bin Mahmud, and Siti Nurshafikah binti Baharuddin. "Artificial intelligence in mathematics education: A systematic literature review". International Electronic Journal of Mathematics Education 2022 17 no. 3 (2022): em0694. https://doi.org/10.29333/iejme/12132
Harvard
In-text citation: (Mohamed et al., 2022)
Reference: Mohamed, M. Z. B., Hidayat, R., Suhaizi, N. N. B., Sabri, N. B. M., Mahmud, M. K. H. B., and Baharuddin, S. N. B. (2022). Artificial intelligence in mathematics education: A systematic literature review. International Electronic Journal of Mathematics Education, 17(3), em0694. https://doi.org/10.29333/iejme/12132
MLA
In-text citation: (Mohamed et al., 2022)
Reference: Mohamed, Mohamed Zulhilmi bin et al. "Artificial intelligence in mathematics education: A systematic literature review". International Electronic Journal of Mathematics Education, vol. 17, no. 3, 2022, em0694. https://doi.org/10.29333/iejme/12132
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Mohamed MZB, Hidayat R, Suhaizi NNB, Sabri NBM, Mahmud MKHB, Baharuddin SNB. Artificial intelligence in mathematics education: A systematic literature review. INT ELECT J MATH ED. 2022;17(3):em0694. https://doi.org/10.29333/iejme/12132

Abstract

The advancement of technology like artificial intelligence (AI) provides a chance to help teachers and students solve and improve teaching and learning performances. The goal of this review is to add to the conversation by offering a complete overview of AI in mathematics teaching and learning for students at all levels of education. A systematic literature review (SLR) was conducted using established and robust guidelines. We follow the preferred reporting items for systematic reviews and meta-analyses (PRISMA). We searched ScienceDirect, Scopus, Springer Link, ProQuest, and EBSCO Host for 20 AI studies published between 2017 and 2021. The findings of the SLR indicate that AI approach used in mathematics education for the samples studied were through robotics, systems, tools, teachable agent, autonomous agent, and a comprehensive approach. Then, it can be shown that the majority of the collected studies were carried out in the USA and Mexico. The analysis revealed that most of the reviewed studies used quantitative research methods. The types of themes for AI in mathematics education were categorized into advantages and disadvantages, conceptual understanding, factors, role, idea suggestion, strategies and effectiveness.

Disclosures

Declaration of Conflict of Interest: No conflict of interest is declared by author(s).

Data sharing statement: Data supporting the findings and conclusions are available upon request from the corresponding author(s).

References

  • Baker, T., & Smith, L. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. Nesta. https://media.nesta.org.uk/documents/Future_of_AI_and_education_v5_WEB.pdf
  • Casler-Failing, S. L. (2018). Robotics and math: Using action research to study growth problems. Canadian Journal of Action Research, 19(2), 4-25. https://doi.org/10.33524/cjar.v19i2.383
  • Casler-Failing, S.L. (2021). Learning to teach mathematics with robots: Developing the ‘t’ in technological pedagogical content knowledge. Research in Learning Technology, 29. https://doi.org/10.25304/rlt.v29.2555
  • Chen, L., Chen, P., & Lin, Z. (2020a). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510
  • Chen, X., Xie, H., Zou, D., & Hwang, G. J. (2020b). Application and theory gaps during the rise of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100002. https://doi.org/10.1016/j.caeai.2020.100002
  • Chesani, F., Mello, P., & Milano, M. (2017). Solving mathematical puzzles: A challenging competition for AI. Association for the Advancement of Artificial Intelligence, 38(3), 83-96. https://doi.org/10.1609/aimag.v38i3.2736
  • Conde, M. Á., Sedano, F. J. R., Fernández-Llamas, C., Gonçalves, J., Lima, J., & García-Peñalvo, F. J. (2020). RoboSTEAM project systematic mapping: Challenge-based learning and robotics. In Proceedings of the 2020 IEEE Global Engineering Education Conference (pp. 214-221). https://doi.org/10.1109/educon45650.2020.9125103
  • Cope, B., Kalantzis, M., & Searsmith, D. (2020). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1229-1245. https://doi.org/10.1080/00131857.2020.1728732
  • Duzhin, F., & Gustafsson, A. (2018). Machine learning-based app for self-evaluation of teacher-specific instructional style and tools. Education Sciences, 8(1), 7-21. https://doi.org/10.3390/educsci8010007
  • Forsström, S.E., Afdal, G. (2020). Learning mathematics through activities with robots. Digital Experiences in Mathematics Education, 6(1), 30-50. https://doi.org/10.1007/s40751-019-00057-0
  • Francis, K., & Davis, B. (2018). Coding robots as a source of instantiations for arithmetic. Digital Experiences in Mathematics Education, 4(1), 71-86. https://doi.org/10.1007/s40751-018-0042-7
  • Gao, S. (2020). Innovative teaching of integration of artificial intelligence and university mathematics in big data environment. IOP Conference Series: Materials Science and Engineering, 750(1), 012137. https://doi.org/10.1088/1757-899X/750/1/012137
  • Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4(4), 134-147. https://doi.org/10.1016/j.ijis.2020.09.001
  • Gulz, A., Londos, L., & Haake, M. (2020). Preschoolers’ understanding of a teachable agent-based game in early mathematics as reflected in their gaze behaviors–An experimental study. International Journal of Artificial Intelligence in Education, 30(7), 38-73. https://doi.org/10.1007/s40593-020-00193-4
  • Harper, F., Stumbo, Z., & Kim, N. (2021). When Robots invade the neighborhood: Learning to teach prek-5 mathematics leveraging both technology and community knowledge. Contemporary Issues in Technology and Teacher Education, 21(1), 19-52.
  • Hasanein, H. A. A., & Abu-Naser, S. S. (2018). Developing education in Israa University using intelligent tutoring system. International Journal of Academic Pedagogical Research, 2(5), 1-16.
  • He, J., Baxter, S. L., Xu, J., Xu, J., Zhou, X., & Zhang, K. (2019). The practical implementation of artificial intelligence technologies in medicine. Nature Medicine, 25(1), 30-36. https://doi.org/10.1038/s41591-018-0307-0
  • Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001
  • Kim, K. J., & Han, H. J. (2021). A design and effect of maker education using educational artificial intelligence tools in elementary online environment. Journal of Digital Convergence, 19(6), 61-71. https://doi.org/10.14400/JDC.2021.19.6.061
  • Liao, L., & Gu, F. (2022). 5G and artificial intelligence interactive technology applied in preschool education courses. Wireless Communications and Mobile Computing, 2022, 7629354. https://doi.org/10.1155/2022/7629354
  • Lopez-Caudana, E., Ramirez-Montoya, M. S., Martínez-Pérez, S., & Rodríguez-Abitia, G. (2020). Using robotics to enhance active learning in mathematics: A multi-scenario study. Mathematics, 8(12), 2163. https://doi.org/10.3390/math8122163
  • Ma, Y., & Siau, K. L. (2018). Artificial intelligence impacts on higher education. MWAIS Proceedings, 42(5), 1-5.
  • Mengist, W., Soromessa, T., & Legese, G. (2020). Method for conducting systematic literature review and meta-analysis for environmental science research. MethodsX, 7, 100777. https://doi.org/10.1016/j.mex.2019.100777
  • Mills, N. J. D. (2021). ALEKS constructs as predictors of high school mathematics achievement for struggling students. Heliyon, 7(6), e07345. https://doi.org/10.1016/j.heliyon.2021.e07345
  • Min, S. A., Jeon, I. S., & Song, K. S. (2021). The effects of artificial intelligence convergence education using machine learning platform on STEAM literacy and learning flow. Journal of the Korea Society of Computer and Information, 26(10), 199-208. https://doi.org/10.9708/jksci.2021.26.10.199
  • Moreno-Esteva, G. E., White, S. L. J., Wood, J. M., & Black, A. A. (2018). Application of mathematical and machine learning techniques to analyse eye-tracking data enabling better understanding of children’s visual-cognitive behaviours. Frontline Learning Research, 6(3), 72-84. https://doi.org/10.14786/flr.v6i3.365
  • Neri, H., & Cozman, F. (2019). The role of experts in the public perception of risk of artificial intelligence. AI & Society, 35, 663-673. https://doi.org/10.1007/s00146-019-00924-9
  • Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/j.caeai.2021.100020
  • Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. https://unesdoc.unesco.org/ark:/48223/pf0000366994
  • Poole, D. L., Mackworth, A. K., & Goebel, R. (1998). Computational intelligence: A logical approach. Oxford University Press.
  • Popenici, S. A., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(22), 1-13. https://doi.org/10.1186/s41039-017-0062-8
  • Rico-Bautista, N. A., Rico-Bautista, D. W., & Medina-Cárdenas, Y. C. (2019). Collaborative work as a learning strategy to teach mathematics incorporating robotics using led godt education system and fischertechnik in seventh graders at the school isidro caballero delgado in Floridablanca Santander Colombia. Journal of Physics: Conference Series, 1386, 012146. https://doi.org/10.1088/1742-6596/1386/1/012146
  • Rojano, T., & García-Campos, M. (2017). Teaching mathematics with intelligent support in natural language. Tertiary education students working with parametrized modelling activities. Teaching Mathematics and its Applications: An International Journal of the IMA, 36(1), 18-30. https://doi.org/10.1093/teamat/hrw009
  • Sáez-López, J. M., Sevillano-García, M. L., & Vazquez-Cano, E. (2019). The effect of programming on primary school students’ mathematical and scientific understanding: educational use of Mbot. Educational Technology Research and Development, 67(3), 1405-1425. https://doi.org/10.1007/s11423-019-09648-5
  • Saha, J., Ahmmed, S., Ali, M., Tamal, M. A., & Rezaul, K. M. (2020). ICT based mathematics skill development program: An initiative to overcome mathematics anxiety. International Journal of Emerging Technologies in Learning, 15(14), 252-261. https://doi.org/10.3991/ijet.v15i14.14149
  • Salas-Rueda, R. A., Salas-Rueda, E. P., & Salas-Rueda, R. D. (2020). Analysis and design of the web game on descriptive statistics through the ADDIE model, data science and machine learning. International Journal of Education in Mathematics, Science and Technology, 8(3), 245-260. https://doi.org/10.46328/ijemst.v8i3.759
  • Schiff, D. (2021). Out of the laboratory and into the classroom: The future of artificial intelligence in education. AI & Society, 36(1), 331-348. https://doi.org/10.1007%2Fs00146-020-01033-8
  • Seckel, M. J., Breda, A., Font, V., & Vásquez, C. (2021). Primary school teachers’ conceptions about the use of robotics in mathematics. Mathematics, 9, 3181. https://doi.org/10.3390/math9243186
  • Song, D. (2017). Designing a teachable agent system for mathematics learning. Contemporary Educational Technology, 8(2), 176-190. https://doi.org/10.30935/cedtech/6194
  • Vaishya, R., Javaid, M., Khan, I. H., & Haleem, A. (2020). Artificial intelligence (AI) applications for COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 337-339. https://doi.org/10.1016/j.dsx.2020.04.012
  • Voskoglou, M. G., & Salem, A.-B. M. (2020). Benefits and limitations of the artificial with respect to the traditional learning of mathematics. Mathematics, 8(4), 611. https://doi.org/10.3390/math8040611
  • Wu, R. (2021). Visualization of basic mathematics teaching based on artificial intelligence. Journal of Physics: Conference Series, 1992(1), 042042. https://doi.org/10.1088/1742-6596/1992/4/042042
  • Zakaria, F., Kar, C., Aishah, S., Abdullah, R., Ismail, S. I., Enzai, M., & Idawati, N. (2021). A study on correlation of subjects on electrical engineering course using artificial neural network (ANN). Asian Journal of University Education, 17(2), 144-155. https://doi.org/10.24191/ajue.v17i2.13391
  • Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1-27. https://doi.org/10.1186/s41239-019-0171-0
  • Zhong, B., & Xia, L. (2020). A systematic review on exploring the potential of educational robotics in mathematics education. International Journal of Science and Mathematics Education, 18(1), 79-101. https://doi.org/10.1007/s10763-018-09939-y

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