Pre-service teachers and ChatGPT in multistrategy problem-solving: Implications for mathematics teaching in primary schools

Seyum Getenet

doi:10.29333/iejme/14141

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Seyum Getenet ¹ ^*

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¹ School of Education, University of Southern Queensland, Toowoomba, QLD, AUSTRALIA^* Corresponding Author

Abstract

This study compared the problem-solving abilities of ChatGPT and 58 pre-service teachers (PSTs) in solving a mathematical word problem using various strategies. PSTs were asked to solve a problem individually. Data was collected from PSTs’ submitted assignments, and their problem-solving strategies were analyzed. ChatGPT was also given the same problem to solve with various prompts, and the correctness of its solutions and problem-solving strategies were assessed alongside those of PSTs. The results indicated that PSTs used diverse strategies and achieved accurate solutions, but not always relevant strategies to children’s level of understanding. ChatGPT employed similar strategies to PSTs but mostly produced incorrect solutions, and its performance needed to be contextualized in the primary school context. The study highlights the potential of ChatGPT in mathematics teaching and informs teacher education programs about the possibility of using it in teaching problem-solving strategies.

Keywords

artificial intelligence-based systems
ChatGPT
mathematics education
pre-service teachers
primary school
problem-solving strategies

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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.

Article Type: Research Article

INT ELECT J MATH ED, 2024, Volume 19, Issue 1, Article No: em0766

https://doi.org/10.29333/iejme/14141

Publication date: 23 Jan 2024

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Article Downloads: 357

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References

ACARA. (2023). Mathematics: Year 6. Australian Curriculum, Assessment and Reporting Authority. https://www.australiancurriculum.edu.au/f-10-curriculum/mathematics/
Böckmann, M., & Schukajlow, S. (2018). Value of pictures in modelling problems from students’ perspective. In E. Bergqvist, M. Österholm, M. Granberg, & L. Sumpter (Eds.), Proceedings of the 42^nd Conference of the International Group for the Psychology of Mathematics Education (pp. 263-270). PME.
Bourke, S., & Stacey, K. (1988). Assessing problem-solving in mathematics: Some variables related to student performance. The Australian Educational Researcher, 15(1), 73-83. https://doi.org/10.1007/BF03219402
Chen, X., Xie, H., Zou, D., & Hwang, G. J. (2020). 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
Csíkos, C., & Szitányi, J. (2020). Teachers’ pedagogical content knowledge in teaching word problem-solving strategies. ZDM, 52(1), 165-178. https://doi.org/10.1007/s11858-019-01115-y
Duru, A., Peker, M., Bozkurt, E., Akgun, L., & Bayrakdar, Z. (2011). Pre-service primary school teachers’ preference of the problem-solving strategies for word problems. Procedia-Social and Behavioral Sciences, 15, 3463-3468. https://doi.org/10.1016/j.sbspro.2011.04.319
Frieder, S., Pinchetti, L., Griffiths, R. R., Salvatori, T., Lukasiewicz, T., Petersen, P. C., & Berner, J. (2023). Mathematical capabilities of ChatGPT. arXiv. https://doi.org/10.48550/arXiv.2301.13867
Hegarty, M., & Kozhevnikov, M. (1999). Types of visual-spatial representations and mathematical problem-solving. Journal of Educational Psychology, 91(4), 684-689. https://doi.org/10.1037/0022-0663.91.4.684
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
Krawec, J., & Montague, M. (2014). The role of teacher training in cognitive strategy instruction to improve math problem-solving. Learning Disabilities Research & Practice, 29(3), 126-134. https://doi.org/10.1111/ldrp.12034
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
Lee, H. (2023). The rise of ChatGPT: Exploring its potential in medical education. Anatomical Sciences Education, 00, 1-6. https://doi.org/10.1002/ase.2270
Lee, Y. F., Hwang, G. J., & Chen, P. Y. (2022). Impacts of an AI-based cha bot on college students’ after-class review, academic performance, self-efficacy, learning attitude, and motivation. Educational Technology Research and Development, 70(5), 1843-1865. https://doi.org/10.1007/s11423-022-10142-8
Mills, K. A., Chandra, V., & Park, J. Y. (2013). The architecture of children’s use of language and tools when problem-solving collaboratively with robotics. The Australian Educational Researcher, 40, 315-337. https://doi.org/10.1007/s13384-013-0094-z
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
OpenAI. (2023). ChatGPT 3.5 [Large language model]. https://chat.openai.com/chat
Pelton, T. & Pelton, L. F. (2023). Adapting ChatGPT to support teacher education in mathematics. In E. Langran, P. Christensen, & J. Sanson (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 1662-1670). Association for the Advancement of Computing in Education.
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, 1362996. https://doi.org/10.1155/2022/1362996
Ramnarain, U. (2014). Empowering educationally disadvantaged mathematics students through a strategies-based problem-solving approach. The Australian Educational Researcher, 41, 43-57. https://doi.org/10.1007/s13384-013-0098-8
Reys, R. E., Lindquist, M. M., Lambdin, D. V., & Smith, N. L. (2021). Helping children learn mathematics. Wiley.
Rosé, C. P., McLaughlin, E. A., Liu, R., & Koedinger, K. R. (2019). Explanatory learner models: Why machine learning (alone) is not the answer. British Journal of Educational Technology, 50(6), 2943-2958. https://doi.org/10.1111/bjet.12858
Schoenfeld, A. H. (1985). Artificial intelligence and mathematics education: A discussion of Rissland’s paper. In E. Silver (Ed.), Teaching and learning mathematical problem-solving: Multiple research perspectives (pp. 177-187). Lawrence Erlbaum Associates.
Schoenfeld, A. H. (2016). Learning to think mathematically: Problem-solving, metacognition, and sense making in mathematics. Journal of Education, 196(2), 1-38. https://doi.org/10.1177/002205741619600202
Shakarian, P., Koyyalamudi, A., Ngu, N., & Mareedu, L. (2023). An independent evaluation of ChatGPT on mathematical word problems (MWP). arXiv. https://doi.org/10.48550/arXiv.2302.13814
Strzelecki, A. (2023). Students’ acceptance of ChatGPT in higher education: An extended unified theory of acceptance and use of technology. Innovative Higher Education. https://doi.org/10.1007/s10755-023-09686-1
Szabo, Z. K., Körtesi, P., Guncaga, J., Szabo, D., & Neag, R. (2020). Examples of problem-solving strategies in mathematics education supporting the sustainability of 21st-century skills. Sustainability, 12(23), 10113. https://doi.org/10.3390/su122310113
UNESCO. (2023). ChatGPT and artificial intelligence in higher education: Quick start guide. United Nations Educational, Scientific and Cultural Organization International Institute for Higher Education in Latin America and the Caribbean. https://www.iesalc.unesco.org/wp-content/uploads/2023/04/ChatGPT-and-Artificial-Intelligence-in-higher-education-Quick-Start-guide_EN_FINAL.pdf
Van Vaerenbergh, S., & Pérez-Suay, A. (2022). A classification of artificial intelligence systems for mathematics education. In P. R. Richard, M. Pilar Vélez, & S. Van Vaerenbergh (Eds.), Mathematics education in the age of artificial intelligence: How artificial intelligence can serve mathematical human learning (pp. 89-106). Springer. https://doi.org/10.1007/978-3-030-86909-0_5
Verschaffel, L., Schukajlow, S., Star, J., & Van Dooren, W. (2020). Word problems in mathematics education: A survey. ZDM Mathematics Education, 52, 1-16. https://doi.org/10.1007/s11858-020-01130-4
Wardat, Y., Alali, R., Jarrah, A. M., & Alzyoudi, M. (2023a). Neutrosophic theory framework for building mathematics teachers capacity in assessment of high school students in the United Arab Emirates. International Journal of Neutrosophic Science, 21(1), 33-50. https://doi.org/10.54216/IJNS.210103
Wardat, Y., Tashtoush, M. A., AlAli, R., & Jarrah, A. M. (2023b). ChatGPT: A revolutionary tool for teaching and learning mathematics. EURASIA Journal of Mathematics, Science and Technology Education, 19(7), em2286. https://doi.org/10.29333/ejmste/13272

How to cite this article

APA

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), em0766. https://doi.org/10.29333/iejme/14141

Vancouver

Getenet S. Pre-service teachers and ChatGPT in multistrategy problem-solving: Implications for mathematics teaching in primary schools. INT ELECT J MATH ED. 2024;19(1):em0766. https://doi.org/10.29333/iejme/14141

AMA

Getenet S. Pre-service teachers and ChatGPT in multistrategy problem-solving: Implications for mathematics teaching in primary schools. INT ELECT J MATH ED. 2024;19(1), em0766. https://doi.org/10.29333/iejme/14141

Chicago

Getenet, Seyum. "Pre-service teachers and ChatGPT in multistrategy problem-solving: Implications for mathematics teaching in primary schools". International Electronic Journal of Mathematics Education 2024 19 no. 1 (2024): em0766. https://doi.org/10.29333/iejme/14141

Harvard

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), em0766. https://doi.org/10.29333/iejme/14141

MLA

Getenet, Seyum "Pre-service teachers and ChatGPT in multistrategy problem-solving: Implications for mathematics teaching in primary schools". International Electronic Journal of Mathematics Education, vol. 19, no. 1, 2024, em0766. https://doi.org/10.29333/iejme/14141