Online learning is becoming more and more common, so how to maintain learners' online learning engagement is very important. This study aims to explore the impact of future self-continuity on college students' online learning engagement and its underlying mechanism of action. We utilized the Future Self-Continuity Questionnaire, the Learning…

The current study investigates the interaction of Gamification, and Instructional Design to enhance the Usability of e-Learning in higher education programs. The study also examines the mediating role of Instructional design. Data were collected from a self-structured questionnaire from the academicians and was analyzed through Structural Equation…

It is pointed out that one of the main problems of online learning environments is determining whether students engage or not. As engagement is a complex and multifaceted concept, researchers have stated that engagement is effected by many factors (environmental conditions and learner characteristics) and changes according to the context. Among…

This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…

Building and testing a framework of interactive and indirect predictors of student satisfaction would help us understand how to improve student online learning experience. The current study proposed that external predictors such as poor technological, environmental, and pedagogical factors would be internalized as negative psychological traits and…

Data scientists in educational research utilize learning analytics to investigate predictors of adult learner performance or final grades in closed online courses, blended or hybrid courses, and Massive Open Online Courses (MOOCs). The purpose of this quantitative correlational study was to investigate if and to what extent a predictive…

Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting factors that influence student's behavioral intention to use e-learning system at Begum Rokeya University, Bangladesh.…

Due to the unprecedented growth in available data collected by e-learning platforms, including platforms used by massive open online course (MOOC) providers, important opportunities arise to structurally use these data for decision making and improvement of the educational offering. Student retention is a strategic task that can be supported by…

In this article, student video visualization profiles are analyzed with two objectives: 1) to identify difficult sections in videos and 2) to predict student performance based on their video visualization profiles. For identifying critical sections in videos two novel indicators are proposed. The first one is designed to measure the complexity of…

This study investigates the level of readiness for massive open online courses (MOOCs) of students in Oman. It compares the readiness of ordinary students in the Omani higher education institutions (HEIs) and those outside HEIs who took a MOOC from the larger Omani society and tests for the differences between their levels of readiness.…

Most previous studies have focused on learners' self-efficacy in face-to-face learning environments, while few have delved into that of MOOC learners. No research has touched upon the MOOC self-efficacy of engineering students in developed and developing countries. This research compared the self-efficacy levels of engineering students in Taiwan…

The objective of the study was to investigate the relationship between elearning and the academic achievement of research scholars in healthcare's higher education institutions using multimediators. The study used a theoretical network approach for the review of the literature and the Barron & Kenny model for mediation. The study employed a…

The purpose of this quantitative correlational-predictive study was to study if and to what extent emotional intelligence and race, individually and/or combined, predict self-efficacy among teachers teaching online at US-based colleges and universities. The theoretical foundation for this study was based on Salovey and Mayer's 1990 Theory of…

Students' attitudes towards distance education can be shaped by the compatibility of their learning styles with this new educational environment. The study aimed to investigate whether various variables and e-learning styles predict student's attitudes towards distance education. The present research was conducted on 387 students enrolled in the…

With COVID-19 compelling some countries to close their schools, e-learning has now become the primary mode of learning. Researchers have renewed their interest in users' acceptance of e-learning via different platforms, given the possibility of different results relative to what was known pre-pandemic. However, e-learning still poses issues such…