This paper investigates the potential of Intelligent Tutoring Systems (ITS) in fostering adaptive learning environments. ITS are computer-based applications designed to assist learners in acquiring knowledge and skills by adapting to their individual needs and learning styles. The increasing use of technology in education has opened up new avenues for personalized learning experiences, and ITS play a crucial role in this transformation. The aim of this study is to explore the various features and functionalities of ITS, such as intelligent feedback, personalized learning paths, and self-regulation support, and to analyze their effectiveness in enhancing learning outcomes. By integrating artificial intelligence and machine learning techniques, ITS can dynamically adjust the learning content and pace according to the learners' progress and performance. The paper also discusses the challenges in implementing ITS and the potential benefits for both students and educators. The findings suggest that ITS can significantly improve the quality of education, making it more inclusive, efficient, and tailored to individual learners' needs.
White, M. Intelligent Tutoring Systems for Adaptive Learning Environments. Transactions on Applied Soft Computing, 2022, 4, 33. https://doi.org/10.69610/j.tasc.20221019
AMA Style
White M. Intelligent Tutoring Systems for Adaptive Learning Environments. Transactions on Applied Soft Computing; 2022, 4(2):33. https://doi.org/10.69610/j.tasc.20221019
Chicago/Turabian Style
White, Michael 2022. "Intelligent Tutoring Systems for Adaptive Learning Environments" Transactions on Applied Soft Computing 4, no.2:33. https://doi.org/10.69610/j.tasc.20221019
APA style
White, M. (2022). Intelligent Tutoring Systems for Adaptive Learning Environments. Transactions on Applied Soft Computing, 4(2), 33. https://doi.org/10.69610/j.tasc.20221019
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References
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