The emergence of big data in educational contexts has led to new data-driven approaches
to support informed decision making and efforts to improve educational effectiveness. Digital …

Purpose Although MOOCs have become a pervasive online learning model, the problem of
high dropout rates still persists. Gathering the reasons for the high dropout rate can help to …

Video-based online learning is becoming commonplace in higher education settings. Prior
studies have suggested design principles and instructional strategies to boost video-based …

Abstract Analysis of learning behavior of MOOC enthusiasts has become a posed challenge
in the Learning Analytics field, which is especially related to video lecture data, since most …

In this study, statistical assessment was performed on student engagement in online
learning using the k-means clustering algorithm, and their differences in attendance …

Video clickstream behaviors such as pause, forward, and backward offer great potential for
educational data mining and learning analytics since students exhibit a significant amount of …

The big data stored in massive open online course (MOOC) platforms have become a posed
challenge in the Learning Analytics field to analyze the learning behavior of learners, and …

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 …

Massive open online courses (MOOCs) have widely transformed teaching and learning of
higher education worldwide. Based on Biber's (1988) multi-dimensional analysis framework …

One of the advantages of integrating Artificial Intelligence in education is usage of AI in
assessing students' performance and subsequently its enhancement. With the advancement …