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.
Mathematics anxiety Attitude towards math Math teaching and AI Attitude towards AI AI models
Primary Language | English |
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Subjects | Mathematics Education |
Journal Section | Learning Tools Using in Math |
Authors | |
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 |
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.