Despite a surge of empirical work on paid Massive Open Online Courses (MOOCs), a review of factors that drive the sales of them remains unexplored. The study aims to consolidate the existing fragmented knowledge by synthesizing the current literature on quality attributes, methodological approaches, theoretical foundations, and additional research…

In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…

Procrastination is a significant problem in academia with some estimates suggesting that this occurs in as high as 70-90% of college students (Abdi Zarrin & Gracia, 2020) that manifests in numerous harmful ways including postponement of weekly reading assignments, delay in writing term papers, and inadequate preparation and beginning too late…

The use of online education tools has increased rapidly with the transition to distance education caused by the pandemic. The obligation to carry out all activities of face-to-face education online made it very important for the tools used in distance education to meet the increasing needs. In line with these needs, radical changes have occurred…

This critical review and perspective of the literature features the current landscape of online learning in higher education institutions (HEIs). The review starts by exploring the changing nature of student needs and staff and institutional roles in the face of online learning, and how digital transformation is shaping the culture and ways of…

Academic advising plays an important role in students' decision-making in higher education. Data-driven methods provide useful recommendations to students to help them with degree completion. Several course recommendation models have been proposed in the literature to recommend courses for the next semester. One aspect of the data that has yet to…

This study explores the potential of using screen time data in learning management systems (LMS) to estimate student learning time (SLT) and validate the credit value of courses. Gathering comprehensive data on actual student learning time is difficult, so this study uses LMS Moodle logs from a computer programming course with 490 students over 16…

With the onset of online education via technology-enhanced learning platforms, large amount of educational data is being generated in the form of logs, clickstreams, performance, etc. These Virtual Learning Environments provide an opportunity to the researchers for the application of educational data mining and learning analytics, for mining the…

This article explores whether pedagogies of dialogue and care are evidenced in how lecturers engage online with their students in teaching and learning on Learning Management Systems (LMSes). Many lecturers in the online higher education landscape predominantly come from affluent educational habitus, whereas many students come from working-class…

Behind the lectern stands the professor, deploying course management systems, online quizzes, wireless clickers, PowerPoint slides, podcasts, and plagiarism-detection software. In the seats are the students, armed with smartphones, laptops, tablets, music players, and social networking. Although these two forces seem poised to do battle with each…