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International Journal of Academic Research in Progressive Education and Development

Open Access Journal

ISSN: 2226-6348

The Impact of Integration of AI in Statistics Learning on Student Motivation and Learning Engagement in Higher Education Sector

Mohamed Ahmed, Norasykin Mohd Zaid, Abdul Halim Bin Abdullah

http://dx.doi.org/10.6007/IJARPED/v14-i1/24353

Open access

This study looks into how using ChatGPT in statistics classes affects students' participation and motivation in UAE higher education. A difficult subject that is frequently seen negatively, statistics can lower students' motivation and involvement. This study investigates how such integration might enhance students' learning experiences by utilizing ChatGPT, an AI-driven platform that offers interactive and tailored help. Regression analysis was used in a quantitative study design to evaluate the connection between ChatGPT integration and shifts in student involvement and motivation. University students were given a structured survey to complete in order to get data on their motivation and level of involvement after utilizing ChatGPT for their statistics assignment. The findings show that ChatGPT has a statistically significant beneficial impact on motivation and engagement, indicating that AI-based tools can be crucial in fostering a more encouraging and stimulating learning environment. By demonstrating ChatGPT's capacity to satisfy students' demands for independence and individualized instruction, these results advance educational theory in line with Self-Determination Theory. In order to improve learning results and student happiness in higher education, the study's managerial implications for educational institutions suggest using AI tools to boost student motivation and engagement.

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Ahmed, M., Zaid, N. M., & Abdullah, A. H. Bin. (2025). The Impact of Integration of AI in Statistics Learning on Student Motivation and Learning Engagement in Higher Education Sector. International Journal of Academic Research in Progressive Education and Development, 14(1), 426–436.