Authors :
Jeevapriya B.; Theju S.; S. Aruna; Santhanalakshmi V.; Dr. Sivasakti Balan D. P.; R. J. Thayumanaswamy
Volume/Issue :
Volume 10 - 2025, Issue 12 - December
Google Scholar :
https://tinyurl.com/2h3dcj4f
Scribd :
https://tinyurl.com/3bckceu8
DOI :
https://doi.org/10.38124/ijisrt/25dec963
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This study examines the influence of Artificial Intelligence (AI) on students when they use AI-based tutoring
systems to learn mathematics and science. The primary objective is to determine whether AI tutoring enhances students’
academic performance and to understand their preference between AI-assisted learning and traditional classroom
instruction.To conduct this investigation, students’ performance is evaluated both before and after using the AI tutor system.
Initial test scores serve as a baseline, showing how students perform under regular or traditional teaching methods. They
then engage with the AI tutor for a set duration, during which they experience adaptive learning modules, instant feedback,
detailed explanations, and personalized practice tasks. After this period, they take a similar assessment to measure their
progress. HYPOTHESIS"Students who use AI tutors will demonstrate improved retention of science and mathematics
concepts."
Keywords :
AI Tutor System Traditional Learning System Maths Science.
References :
- Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278.
- Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
- Parekh, R., & Singh, G. (2023). Impact of AI-based tutoring systems on student learning outcomes. International Journal of Educational Technology, 14(2), 45–58.
- Wong, L. & Yang, J. (2021). The effectiveness of intelligent tutoring systems in improving student performance. Journal of Learning Analytics, 8(3), 56–72.
- Kothari, C. R. (2004). Research Methodology: Methods and Techniques. New Age International Publishers.
This study examines the influence of Artificial Intelligence (AI) on students when they use AI-based tutoring
systems to learn mathematics and science. The primary objective is to determine whether AI tutoring enhances students’
academic performance and to understand their preference between AI-assisted learning and traditional classroom
instruction.To conduct this investigation, students’ performance is evaluated both before and after using the AI tutor system.
Initial test scores serve as a baseline, showing how students perform under regular or traditional teaching methods. They
then engage with the AI tutor for a set duration, during which they experience adaptive learning modules, instant feedback,
detailed explanations, and personalized practice tasks. After this period, they take a similar assessment to measure their
progress. HYPOTHESIS"Students who use AI tutors will demonstrate improved retention of science and mathematics
concepts."
Keywords :
AI Tutor System Traditional Learning System Maths Science.