This study aimed to develop a prediction model to classify students based on their academic procrastination tendencies, which were measured and classified as low and high using a self-report tool developed based on the students' assignment submission behaviours logged in the learning management system's database. The students' temporal learning…

In online education, it is widely recognized that interaction and engagement have an impact on students' academic performance. While previous research has extensively explored interactions between students, instructors, and content, there has been limited exploration of course design elements that promote the fourth type of interaction:…

Procrastination, the irrational delay of tasks, is a common occurrence in online learning. Potential negative consequences include a higher risk of drop-outs, increased stress, and reduced mood. Due to the rise of learning management systems (LMS) and learning analytics (LA), indicators of such behavior can be detected, enabling predictions of…

Providing timely and personalized feedback on open-ended student responses is a challenge in education due to the increased workloads and time constraints educators face. While existing research has explored how learning analytic approaches can support feedback provision, previous studies have not sufficiently investigated educators' perspectives…

Homework completion is associated with learning achievement, but students' challenges revolve around meeting deadlines and preventing procrastination. Promoting students' self-regulated learning (SRL) can overcome these challenges. We explored the role of SRL (forethought and learning strategies) on the timeliness of homework submissions performed…

We analyze the thesis that a fully immersive gamified learning platform benefits students, improving their enjoyment, time management, and performance by engaging them with the subject matter. We assert that an immersive experience centered around a true game produces better results than exercises with just a few gamified elements (e.g., points,…

Much of learning analytics research has focused on factors influencing model generalizability of predictive models for academic performance. The degree of model generalizability across courses may depend on aspects, such as the similarity of the course setup, course material, the student cohort, or the teacher. Which of these contextual factors…

With the emergence of short video and the development of mobile internet, short video software, such as TikTok and Kwai, has emerged. Based on the semantic understanding technology of teaching short videos, a teaching management platform was built to push healthy and positive short video for students' content in a targeted way. Taking the 21st…

Procrastination is one of the issues affecting more than half of the student population and is known to impact them negatively. It is also one of the major reasons for failure and dropout. Therefore, several studies have been conducted in this domain to understand when and why students procrastinate. The existing studies use self-reported…

Background: Technological innovations such as Learning Management Systems (LMS) are becoming more and more prevalent in the learning environments of students. Distilling and acting on knowledge gathered from these systems, the field known as learning analytics, allows educators to hone their craft and support students more effectively by providing…

Students organize and manage their own learning time, choosing when, what, and how to study due to the flexibility of online learning. Each person has unique learning habits that define their behaviours and distinguish them from others. To investigate the temporal behaviour of students in online learning environments, we seek to identify suitable…

This quantitative study aimed at investigating various barriers that hindered the diffusion of learning management systems (LMSs) as perceived by teaching English to speakers of other languages (TESOL) or English as a second language (ESL) teachers in the states of Alabama and Mississippi. A nonprobabilistic purposeful sampling was used in the…

The COVID-19 pandemic has profoundly impacted higher education institutions worldwide, prompting a rapid shift towards online learning environments. This study aims to assess the e-readiness of first-year students in using the Learning Management System (LMS) in the context of COVID-19. The researchers used the Technology Acceptance Model (TAM)…

In Spring 2020, there was a sudden shift from face-to-face (F2F) to distance learning (DL) due to the COVID-19 Pandemic. A study by Al-Jarf (2020) showed that 55% of the students and instructors preferred F2F instruction and were not satisfied with DL due to unfamiliarity, lack of training, interaction, technical problems and others. In the Fall…

Driven by the increased availability of Learning Management System data, this study explored its value and sought understanding of student behaviour through the information contained in activity level log data. Specifically, this study examined analytics data to understand students' engagement with online videos. Learning analytics data from the…