Comprehensive Overview of the Concept and Applications of AI-based Adaptive Learning

This paper provides a comprehensive overview of AI-based adaptive learning systems, including a SWOT analysis and Force Field Analysis with 112 participants to evaluate strengths, weaknesses, opportunities, threats, and driving/resisting forces for implementing adaptive learning in education. It discusses various AI tutoring systems (AutoTutor, Affective AutoTutor) and personalized learning approaches that adjust content to individual student needs.

: This paper provides a comprehensive understanding of the concept and the applications of AI-based adaptive learning, underlining its potential to revolutionize education in terms of personalization and optimization. Such systems offer personalized learning experiences by analysing vast pools of data so that the strengths and weaknesses of each student can be pinpointed. Personalization increases the learning outcomes and engagement of students by providing appropriate challenges and timely fee

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