On e-learning platforms, most e-learners didn't complete the course successfully. It means that reducing dropout is a critical problem for the sustainability of e-learning. This paper aims to establish a predictive model to describe e-learners' dropout behavior, which can help the commercial e-learning platforms to make appropriate interventions…

Previous studies had identified the potential link between achievement goal and students' technology use. However, the literature on this topic is extremely scarce. The purpose of this study was to investigate the antecedents to technology use among undergraduates via an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model…

The purpose of this study is to explore students' backtracking patterns in using a digital textbook, reveal the relationship between backtracking behaviors and academic performance as well as learning styles. This study was carried out for 2 semesters on 102 university students and they are required to use a digital textbook system called DITeL to…

The use of Instagram is becoming increasingly popular among students. Excessive Instagram use (EIU) has become a growing problem that can impact students' lives psychosocially. This study applied uses and gratifications theory (UGT) to explore the impact of social gratification, content gratification, and entertainment along with social presence,…

Interactive learning environments can generate massive learning behavior data and the support of learning behavior big data can ensure the completeness of data analysis and robustness of relationship verification. In this study, learning behaviors are divided into training set and testing set, BP neural network and recurrent Elman network are…

In the era of COVID-19 and right after the announcement of it as a pandemic and threat to humanity by the World Health Organization, most educational activities were globally forced to shut down their traditional teaching/learning activities. This is one of the biggest and most vital changes of educational settings which have led to migration to…

One of the phenomena that lecturers who switched to online distance learning during COVID-19 reported is the refusal of students to turn on their cameras during online classes. This study aimed to examine the factors that predict the opening of cameras in class. The study examined this issue regarding three types of predictors: resistance factors,…

The published literature on lecture capture technologies is often conflicting and sometimes controversial. A common thread among many studies is the impact of recorded lectures on student satisfaction, attendance and performance; however, many of these studies fail to acknowledge the wider context and the many and varied ways in which capture…

With the rising influence of technology, students have become heavy users of instant messaging applications. It makes one wonder about students' motivations in using these applications and their usage habits. The aims of this study were to analyze the messaging activities of university students in blended classroom groups, to investigate the…

Computer-supported collaborative concept mapping (CSCCM) integrates technology and concept mapping to support students' knowledge understanding, and much research on the behavioral patterns involved in CSCCM activities has been conducted. However, there is limited understanding of the differences in knowledge understanding and behavioral patterns…

Individual differences exist among learners. Among various individual differences, cognitive styles can strongly predict learners' learning behavior. Therefore, cognitive styles are essential for the design of online learning. There are a variety of cognitive style dimensions and overlaps exist among these dimensions. In particular, Witkin's field…

As a representative practice of the theory of connectivism, cMOOCs emphasize learners' content-based connective learning. Effectively promoting learners' content production is the focus of cMOOC research and practice. This study explores whether and how learners' online interactions affect the content production of courses. Based on 45166…

Different e-learning technologies may offer different incentive factors, which influence behavioural intention. Moreover, when adopting a new e-learning technology for an extended period, learners' perceptions and learning behaviour may change during the learning period. Unfortunately, as formative assessments (FAs) are often continuously…

In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…

A review of the literature shows that much academic effort has been expended studying information system usage and information technology adoption. However, these theories/models based on psychological research are not specific to the virtual reality context and may not fully capture the nature of virtual reality-based learning system (VR-BLS)…