Abstract
The paper describes a concept of an intelligent agent-based tutoring system to guide students throughout the course material. The concept of adaptivity is applied to an adaptive education system, based on the profiling of students using the Felder and Silverman model of learning styles. Benefits that the multi-agent organization structure provides for an adaptive tutoring system are outlined. In this paper, a conceptual framework for adaptive learning systems is given. The framework is based on the idea that adaptivity is finding the best match between the learner’s profile and the course content’s profile. Learning styles of learners and content type of learning material are used to match the learner to the most suitable content.
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Korovin, M., Borgest, N. (2019). Multi-agent Approach Towards Creating an Adaptive Learning Environment. In: Chertov, O., Mylovanov, T., Kondratenko, Y., Kacprzyk, J., Kreinovich, V., Stefanuk, V. (eds) Recent Developments in Data Science and Intelligent Analysis of Information. ICDSIAI 2018. Advances in Intelligent Systems and Computing, vol 836. Springer, Cham. https://doi.org/10.1007/978-3-319-97885-7_22
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