Personalized Learning in Virtual Learning Environments Using Students’ Behavior Analysis

نویسندگان

چکیده

In recent years, many research studies have focused on personalized e-learning. One of the most crucial parts any learning environment is having a style that focuses individual learning. this paper, we propose an approach to personalizing resources based students’ styles in virtual enhance their academic performance. Students’ interactions with management system are utilized analyze learners’ behaviors. The Felder–Silverman Learning Style Model (FSLSM) used map online (LS) features. and demographic features then for training machine models predict performance each quarter courses. accurate prediction model find maximize pass rates. We statistically prove students whose actual were close enough ones calculated by achieved better grades. To improve quarter, suggest two strategies process.

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ژورنال

عنوان ژورنال: Education Sciences

سال: 2023

ISSN: ['2227-7102']

DOI: https://doi.org/10.3390/educsci13050457