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Solving mathematics anxiety, lack of confidence and negative attitude with artificial intelligence models: insights from stakeholders

Year 2024, Volume: 5 Issue: 2, 89 - 100, 31.12.2024
https://doi.org/10.5281/zenodo.14599899

Abstract

Mathematics has remained a critical subject globally, despite the continuous perception that it is difficult. This paper seeks to expound on how the integration of AI models in mathematics education can solve the problem of mathematics anxiety, lack of confidence and negative attitude towards the subject by students. Using questionnaire, data for the study was pooled from 149 students, 93 mathematics teachers and 27 school administrators, and formed the basis of the analysis. Different statistical measures were implemented in the analysis. Result of the analysis affirm that 58.39% of the participants strongly agreed that their fear of mathematics has reduced since the integration of AI models in their learning process. The analysis further revealed that 39.59% and 48.99% respectively indicate agreement and strong agreement with the notion that the utilisation of AI models has contributed to an increase in confidence levels in mathematics both within and beyond the confines of the classroom. Over 93% of the student further accepted that their attitude towards mathematics underwent a positive transformation subsequent to their adoption of AI models as a learning aid. About of 54.16% of the teachers and administrators agreed that the limited efficacy of conventional approaches in addressing mathematics anxiety, enhancing learners' self-assurance in the discipline, and altering their disposition significantly impacts their overall academic achievement. The analysis further revealed that over 85% of the surveyed school leaders acknowledged that the integration of AI tools in mathematics instruction has resulted in a reduction of students' apprehension towards the subject. The mathematics teachers and school administrators further advocated that incorporation of AI models into the mathematics curriculum is imperative for addressing the persistent issues of math anxiety, low self-assurance, and unfavourable attitudes towards the subject.

References

  • Blazer, C. (2011). Strategies for Reducing Math Anxiety. Information Capsule. Volume 1102. Research Services, Miami-Dade County Public Schools.
  • Chen, Y., Jensen, S., Albert, L. J., Gupta, S., & Lee, T. (2023). Artificial intelligence (AI) student assistants in the classroom: Designing chatbots to support student success. Information Systems Frontiers, 25(1), 161-182.
  • Espino, M., Pereda, J., Recon, J., Perculeza, E., & Umali, C. (2017). Mathematics anxiety and its impact on the course and career choice of grade 11 students. International Journal of Education, Psychology and Counselling, 2(5), 99-119.
  • Estevez, J., Garate, G., & Graña, M. (2019). Gentle introduction to artificial intelligence for high-school students using scratch. IEEE access, 7, 179027-179036.
  • Fitria, T. N. (2021). Artificial Intelligence (AI) In Education: Using AI Tools for Teaching and Learning Process. In Prosiding Seminar Nasional & Call for Paper STIE AAS (Vol. 4, No. 1, pp. 134-147).
  • Garrido, A. (2012). AI and mathematical education. Education Sciences, 2(1), 22-32.
  • Geist, E. (2015). Math anxiety and the “math gap”: How attitudes toward mathematics disadvantages students as early as preschool. Education, 135(3), 328-336.
  • How, M. L., & Hung, W. L. D. (2019). Educing AI-thinking in science, technology, engineering, arts, and mathematics (STEAM) education. Education Sciences, 9(3), 184.
  • 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.
  • Kargar, M., Tarmizi, R. A., & Bayat, S. (2010). Relationship between mathematical thinking, mathematics anxiety and mathematics attitudes among university students. Procedia-Social and Behavioral Sciences, 8, 537-542.
  • Kim, J., Lee, H., & Cho, Y. H. (2022). Learning design to support student-AI collaboration: Perspectives of leading teachers for AI in education. Education and Information Technologies, 27(5), 6069-6104.
  • Lee, I., & Perret, B. (2022). Preparing High School Teachers to Integrate AI Methods into STEM Classrooms. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36, No. 11, pp. 12783-12791).
  • Mutodi, P., & Ngirande, H. (2014). Exploring mathematics anxiety: Mathematics students’ experiences. Mediterranean Journal of Social Sciences, 5(1), 283.Naik, N. (2017). The use of GBL to teach mathematics in higher education. Innovations in Education and Teaching International, 54(3), 238-246.
  • Niemi, H. (2021). AI in learning: Preparing grounds for future learning. Journal of Pacific Rim Psychology, 15, 18344909211038105.
  • Ochkov, V. F., & Bogomolova, E. P. (2015). Teaching mathematics with mathematical software. Journal of Humanistic Mathematics, 5(1), 265-285.
  • Ramu, M. M., Shaik, N., Arulprakash, P., Jha, S. K., & Nagesh, M. P. (2022). Study on potential AI applications in childhood education. International Journal of Early Childhood, 14(03), 2022.
  • Su, J., & Zhong, Y. (2022). Artificial Intelligence (AI) in early childhood education: Curriculum design and future directions. Computers and Education: Artificial Intelligence, 3, 100072.
  • Tamborg, A. L., Elicer, R., & Spikol, D. (2022). Programming and Computational Thinking in Mathematics Education: An Integration Towards AI Awareness. KI-Künstliche Intelligenz, 36(1), 73-81.
  • Wang, Y., Liu, C., & Tu, Y. F. (2021). Factors affecting the adoption of AI-based applications in higher education. Educational Technology & Society, 24(3), 116-129.
  • Williams, R., Kaputsos, S. P., & Breazeal, C. (2021). Teacher perspectives on how to train your robot: A middle school AI and ethics curriculum. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 17, pp. 15678-15686)
  • Zakaria, N. A., & Khalid, F. (2016). The benefits and constraints of the use of information and communication technology (ICT) in teaching mathematics. Creative Education, 7(11), 1537-1544.
  • Zimmerman, M. (2018). Teaching AI: exploring new frontiers for learning. International Society for Technology in Education.
Year 2024, Volume: 5 Issue: 2, 89 - 100, 31.12.2024
https://doi.org/10.5281/zenodo.14599899

Abstract

References

  • Blazer, C. (2011). Strategies for Reducing Math Anxiety. Information Capsule. Volume 1102. Research Services, Miami-Dade County Public Schools.
  • Chen, Y., Jensen, S., Albert, L. J., Gupta, S., & Lee, T. (2023). Artificial intelligence (AI) student assistants in the classroom: Designing chatbots to support student success. Information Systems Frontiers, 25(1), 161-182.
  • Espino, M., Pereda, J., Recon, J., Perculeza, E., & Umali, C. (2017). Mathematics anxiety and its impact on the course and career choice of grade 11 students. International Journal of Education, Psychology and Counselling, 2(5), 99-119.
  • Estevez, J., Garate, G., & Graña, M. (2019). Gentle introduction to artificial intelligence for high-school students using scratch. IEEE access, 7, 179027-179036.
  • Fitria, T. N. (2021). Artificial Intelligence (AI) In Education: Using AI Tools for Teaching and Learning Process. In Prosiding Seminar Nasional & Call for Paper STIE AAS (Vol. 4, No. 1, pp. 134-147).
  • Garrido, A. (2012). AI and mathematical education. Education Sciences, 2(1), 22-32.
  • Geist, E. (2015). Math anxiety and the “math gap”: How attitudes toward mathematics disadvantages students as early as preschool. Education, 135(3), 328-336.
  • How, M. L., & Hung, W. L. D. (2019). Educing AI-thinking in science, technology, engineering, arts, and mathematics (STEAM) education. Education Sciences, 9(3), 184.
  • 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.
  • Kargar, M., Tarmizi, R. A., & Bayat, S. (2010). Relationship between mathematical thinking, mathematics anxiety and mathematics attitudes among university students. Procedia-Social and Behavioral Sciences, 8, 537-542.
  • Kim, J., Lee, H., & Cho, Y. H. (2022). Learning design to support student-AI collaboration: Perspectives of leading teachers for AI in education. Education and Information Technologies, 27(5), 6069-6104.
  • Lee, I., & Perret, B. (2022). Preparing High School Teachers to Integrate AI Methods into STEM Classrooms. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36, No. 11, pp. 12783-12791).
  • Mutodi, P., & Ngirande, H. (2014). Exploring mathematics anxiety: Mathematics students’ experiences. Mediterranean Journal of Social Sciences, 5(1), 283.Naik, N. (2017). The use of GBL to teach mathematics in higher education. Innovations in Education and Teaching International, 54(3), 238-246.
  • Niemi, H. (2021). AI in learning: Preparing grounds for future learning. Journal of Pacific Rim Psychology, 15, 18344909211038105.
  • Ochkov, V. F., & Bogomolova, E. P. (2015). Teaching mathematics with mathematical software. Journal of Humanistic Mathematics, 5(1), 265-285.
  • Ramu, M. M., Shaik, N., Arulprakash, P., Jha, S. K., & Nagesh, M. P. (2022). Study on potential AI applications in childhood education. International Journal of Early Childhood, 14(03), 2022.
  • Su, J., & Zhong, Y. (2022). Artificial Intelligence (AI) in early childhood education: Curriculum design and future directions. Computers and Education: Artificial Intelligence, 3, 100072.
  • Tamborg, A. L., Elicer, R., & Spikol, D. (2022). Programming and Computational Thinking in Mathematics Education: An Integration Towards AI Awareness. KI-Künstliche Intelligenz, 36(1), 73-81.
  • Wang, Y., Liu, C., & Tu, Y. F. (2021). Factors affecting the adoption of AI-based applications in higher education. Educational Technology & Society, 24(3), 116-129.
  • Williams, R., Kaputsos, S. P., & Breazeal, C. (2021). Teacher perspectives on how to train your robot: A middle school AI and ethics curriculum. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 17, pp. 15678-15686)
  • Zakaria, N. A., & Khalid, F. (2016). The benefits and constraints of the use of information and communication technology (ICT) in teaching mathematics. Creative Education, 7(11), 1537-1544.
  • Zimmerman, M. (2018). Teaching AI: exploring new frontiers for learning. International Society for Technology in Education.
There are 22 citations in total.

Details

Primary Language English
Subjects Mathematics Education
Journal Section Learning Tools Using in Math
Authors

Yousef Abd Algani 0000-0003-2801-5880

Early Pub Date December 29, 2024
Publication Date December 31, 2024
Submission Date September 14, 2024
Acceptance Date December 29, 2024
Published in Issue Year 2024 Volume: 5 Issue: 2

Cite

APA Abd Algani, Y. (2024). Solving mathematics anxiety, lack of confidence and negative attitude with artificial intelligence models: insights from stakeholders. Journal for the Mathematics Education and Teaching Practices, 5(2), 89-100. https://doi.org/10.5281/zenodo.14599899

JMETP is a nonprofit peer-reviewed scientific journal where mathematics education research is meticulously reviewed, and its visibility and citation potential are supported. It has introduced innovation to the field with the concept of the "Math Teaching Practices" article.