Evaluating the impact of intelligent tutoring systems on teaching and learning in secondary education
- Author
- Chingwena, Emmanuel A
- Title
- Evaluating the impact of intelligent tutoring systems on teaching and learning in secondary education
- Abstract
- The paper is a new assessment of the contribution of Intelligent Tutoring Systems (ITS) to the learning and teaching process of secondary education by designing, developing and testing a tailored it’s that combines GPT-based quiz generation and a retrieval-augmented Chabot. By automatically creating quiz scenarios that align with learning goals and providing adaptive, document-based feedback, the system aims to enhance individualised learning. An analytical study was committed in mixed methods, where the results were evaluated through secondary school learners and educators and focused on learning outcomes, user interaction, system usability, and performance. Findings indicated that there was a notable increase in the learning achievement of students and a good overall perception towards the ease of using the system and delivering instructions. The combination of AI methods, including large language models and retrieval enrichment, demonstrated favourable flexibility and scalability compared to traditional ITS methods. The paper comments on the practical implications, limitations, and future research directions on how it is possible to use advanced AI to facilitate effective and scalable education in secondary education schools.
- Date
- June 2025
- Publisher
- BUSE
- Keywords
- Intelligent Tutoring Systems (ITS)
- learning and teaching
- Supervisor
- Mr. C Zano
- Item sets
- Department of Computer Science
