Ashit Kumar Dutta1,*, Mazen Mushabab Alqahtani2, Yasser Albagory3, Abdul Rahaman Wahab Sait4, Majed Alsanea5
Computer Systems Science and Engineering, Vol.44, No.3, pp. 2277-2292, 2023, DOI:10.32604/csse.2023.028107
Abstract Learning Management System (LMS) is an application software that is used in automation, delivery, administration, tracking, and reporting of courses and programs in educational sector. The LMS which exploits machine learning (ML) has the ability of accessing user data and exploit it for improving the learning experience. The recently developed artificial intelligence (AI) and ML models helps to accomplish effective performance monitoring for LMS. Among the different processes involved in ML based LMS, feature selection and classification processes find beneficial. In this motivation, this study introduces Glowworm-based Feature Selection with Machine Learning Enabled Performance Monitoring (GSO-MFWELM) technique for LMS. The… More >
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