The purpose of this study was to investigate the use of predictive video analytics in online
courses in the literature. A systematic literature review was performed based on a hybrid …

Electronic learning management systems provide live environments for students and faculty
members to connect with their institutional online portals and perform educational activities …

We study the problem of predicting student knowledge acquisition in online courses from
clickstream behavior. Motivated by the proliferation of eLearning lecture delivery, we …

Course dropout is a concern in online higher education, mainly in first-year courses when
different factors negatively influence the learners' engagement leading to an unsuccessful …

Abstract Although Massive Open Online Course (MOOC) systems have become more
prevalent in recent years, associated student attrition rates are still a major drawback. In the …

Abstract Massive Open Online Courses (MOOCs) have gradually become a dominant trend
in online education. However, due to the large number of learners participating in MOOCs …

In this paper, math anxiety descriptions are extracted from Massive Open Online Course
(MOOC) reviews using text mining techniques. Learners' emotional states associated with …

Исследование посвящено извлечению описаний математической тревожности из
отзывов на массовые открытые онлайн-курсы по математике (MOOK) с помощью …

Though the massive open online courses (MOOC) have greatly changed the way of
learning, properly understanding the user's behavior and then predication of dropout is one …

Students are self-determined to choose degree programs and courses at their own pace.
However, this variety of choices can lead to a long duration of study, especially in part-time …