Identifying Students' Learning Patterns in Online Learning Environments: A Literature Review

Digital learning environments have offered new opportunities to stream educational materials such as courses, videos, forums and provide outcomes of the students, grades, engagement details, patterns. These valuable data has emerged with latest technologies software tools researchers decision-makers a better understanding students' behaviours. virtual can professionally aid struggling students by observing, learning, identifying different Many discussed that even if there are instructions helping within these environments, some remain at risk negative behaviours boredom, disengagement, failure. Particularly when approaching complex or content. Previous observed exhibit high persistence levels spending too much time on particular task they remotely many tries solve specific without reaching success level. Students' is identified prominent skill contributing confirmed while education materials. works literature recognised value persistence. They reached fundamental fact not all considered productive, especially more effort moving toward state mastery in skills topics. This scenario may eventually lead frustration disengagement; worst-case scenarios, will finally drop course just quit learning. By examining most relevant literature, this paper discusses main factors affecting digital Different models performed each opportunity categorise involvements be arranged best learners facing struggles.