INTELLIGENT TUTORING SYSTEMS AND ADAPTIVE LEARNING ENVIRONMENTS: TEACHER-CENTRIC METHOD IN AI-AUGMENTED CLASSROOMS
DOI:
https://doi.org/10.14456/aelr.2024.10Keywords:
ITS, Adaptive Learning Environment, AI Augmented Classrooms, Teacher-Centric Framework, Personalized Learning and InstructionsAbstract
The Redesigning Education around the Intelligent Tutoring Systems (ITS) and Adaptive Learning Environments (ALE) are integrated into AI-augmented classrooms, teachers have been returned as central figures in a personalized learning ecosystem. It processes real-time feedback and customizes instructions to meet students’ individual demands and understanding paces. The ALE takes this even further by analysing individual student data on an ongoing basis in order to tailor learning paths to each and every student. The technology in these tools can easily shift to a teacher-centric model teaching needs with higher value-add, allowing educators to teach critical and creative thinking rather than assessment routine assessments or personalized content. When students are using technology, teachers are able to monitor much easier so that interventions can occur early and supports put into place right away. This improves the relationship between teacher and student during lessons, creating a more give-and-take learning dynamic.
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