Welcome to Francis Academic Press

International Journal of New Developments in Education, 2025, 7(11); doi: 10.25236/IJNDE.2025.071101.

Teaching and Learning of Mathematical Modelling for College Students in the Context of Artificial Intelligence

Author(s)

Guodong Wu

Corresponding Author:
Guodong Wu
Affiliation(s)

College of Sciences, Inner Mongolia Agricultural University, Hohhot, China

Abstract

This paper delves into the problem of conducting mathematics modelling education using artificial intelligence technology, describing the cooperative model and difficulties in this integration. The following four types of system upgrading were suggested: improving curriculum arrangement, nurturing a revolutionary way of thinking, building experience education platforms, and promoting the conversion of teaching roles. Moreover, the paper explores primary challenges in balancing AI with educational theories, promoting students’ motivation and self-determined learning, data privacy and ethics, and discusses how to provide individualized solutions to them.

Keywords

Mathematical Modelling, Artificial Intelligence, College Students' Mathematical Modelling Ability

Cite This Paper

Guodong Wu. Teaching and Learning of Mathematical Modelling for College Students in the Context of Artificial Intelligence. International Journal of New Developments in Education (2025), Vol. 7, Issue 11: 1-6. https://doi.org/10.25236/IJNDE.2025.071101.

References

[1] Giordano, F R, Fox, W P, Horton, S B. A First Course in Mathematical Modelling (5th ed.) [M]. Cengage Learning, 2014.

[2] National Research Council (NRC). Discipline-Based Education Research: Understanding and Improving Learning in Undergraduate Science and Engineering[M]. National Academies Press, 2012.

[3] Koedinger, K R, McLaughlin, E A. Closing the Loop with Quantitative Cognitive Task Analysis[J]. Educational Psychologist, 2015, 50(3): 203-220.

[4] Granger B E, Pérez F. Jupyter: Thinking and storytelling with code and data[J]. Computing in Science & Engineering. 2021, 23(2):7-14.

[5] Russell, S, Norvig, P. Artificial Intelligence: A Modern Approach (4th ed.)[M]. Pearson, 2020. 

[6] Colchester K, Hagras H, Alghazzawi D, et al. A survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platforms[J]. Journal of Artificial Intelligence and Soft Computing Research, 2017, 7(1): 47-64.

[7] Wiek, A, Withycombe, L, Redman, C L. Key Competencies in Sustainability: A Reference Framework for Academic Program Development[J]. Sustainability Science, 2019, 6(2): 203-218.

[8] Brundiers K, Barth M, Cebrián G, et al. Key competencies in sustainability in higher education—toward an agreed-upon reference framework[J]. Sustainability Science, 2021, 16: 13-29.

[9] National Research Council (NRC). How People Learn II: Learners, Contexts, and Cultures[M]. National Academies Press, 2018.

[10] Huang, R. Educational technology: a primer for the 21st century[M]. Springer Nature Singapore Pte Ltd., 2019. 

[11] Silva S, De França B B. A Case Study on Data Science Processes in an Academia-Industry Collaboration[J]. In Proceedings of the XXII Brazilian Symposium on Software Quality, 2023: 1-10.

[12] Bușu A F. AI-Powered Classrooms: A Revolution in Learning Environments[J]. Analele Universităţii din Craiova, Seria Ştiinţe Filologice, Limbi Străine Aplicate, 2024 (1): 96-103.

[13] Baydin, A G, Pearlmutter, B A, Radul, A A. Automatic Differentiation in Machine Learning: A Survey[J]. Journal of Machine Learning Research, 2018, 18(1): 1-43.

[14] Piech, C, Huang, J, Ng, A. AI-Assisted Grading: Efficiency and Fairness in Large Courses[J]. Proceedings of the ACM SIGCSE Conference on Computer Science Education, 2022: 112-118.

[15] Von Ahn, L. Gamification in STEM Education: Lessons from Duolingo[J]. EdTech Magazine, 2022, 15(3): 45-49.

[16] Siemens, G, Gašević, D, Dawson, S. Learning Analytics: From Research to Practice[M]. Springer, 2022.

[17] Baker, R S. Challenges for the future of educational data mining: The Baker learning analytics prizes[J]. Journal of Educational Data Mining, 2019, 11(1): 1-17.

[18] Dwork, C, Roth, A, Vadhan, S. The Algorithmic Foundations of Differential Privacy[J]. Foundations and Trends in Theoretical Computer Science, 2014, 9(3-4): 211-407.

[19] Zhou J, Chen F. AI ethics: From principles to practice[J]. Ai Society, 2023, 38(6): 2693-2703.

[20] Shahriari K, Shahriari M. IEEE standard review—Ethically aligned design: A vision for prioritizing human wellbeing with artificial intelligence and autonomous systems[C]//2017 IEEE Canada International Humanitarian Technology Conference (IHTC). IEEE, 2017: 197-201.

[21] Bubeck, S, Chandrasekaran, V, Eldan, R, et al. Sparks of Artificial General Intelligence: Early experiments with GPT-4[J]. arxiv preprint arxiv:2303, 2023, 12712. 

[22] Pregowska A, Osial M, Gajda A. What will the education of the future look like? How have metaverse and extended reality affected the higher education systems?[J]. Metaverse Basic and Applied Research, 2024, 57(3): 1-13.

[23] World Economic Forum. The Future of Jobs Report 2023[R]. World Economic Forum, 2023, https://www.weforum.org/publications/the-future-of-jobs-report-2023.