The educational community has been interested in personalized learning systems that can adapt itself while providing learning support to different learners to overcome the weakness of 'one size fits all' approaches in technology-enabled learning systems. In this paper, one known problem in adaptive learning systems called curriculum sequencing is…

COVID-19 has impacted educational processes in most countries: some educational institutions have closed, while others, particularly in higher education, have converted to online learning systems, due to the advantages offered by information technologies. This study analyzes the critical factors influencing students' satisfaction with their…

This study proposes to explore the key factors influencing the university students' intention to use mobile learning system in Indonesia. For this purpose, four direct factors incorporated into the Unified Theory of Acceptance and Use Technology (UTAUT): performance expectancy, effort expectancy, external influence, quality of services and another…

This study utilizes a comparative experimental research method to investigate the effect of the Predict, Observe, Explain, and Evaluate (POEE) learning strategy in an immersive virtual environment (IVE) on two types of learners with different levels of prior knowledge. One type referred to as Highly Experienced and Knowledgeable (HEK) learners,…

Students' engagement in E-learning applications is considered an important factor for learning. There is an evidence in the literature on the influence of students' engagement on their learning outcomes and achievement. Sound utilization in E-learning applications is expected to influence the students' engagement in such applications. However,…

Researchers emphasize that prior knowledge is one of the important factors that influence learning. This study discusses the design and implementation of adapting an e-course to students' prior knowledge using the Learning Management System (LMS). It aims to investigate the impact of such adaptive e-course to the learner's prior knowledge through…

Traditional e-Learning environments are based on static contents considering that all learners are similar, so they are not able to respond to each learner's needs. These systems are less adaptive and once a system that supports a particular strategy has been designed and implemented, it is less likely to change according to student's interactions…