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…

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…

To better understand the self-regulated learning process in online learning environments, this research applied a data mining method, the two-layer hidden Markov model (TL-HMM), to explore the patterns of learning activities. We analyzed 25,818 entries of behavior log data from an intelligent tutoring system. Results indicated that students with…

With long-term impact of COVID-19 on education, online interactive live courses have been an effective method to keep learning and teaching from being interrupted, attracting more and more attention due to their synchronous and real-time interaction. However, there is no suitable method for predicting academic performance for students…

Predictive models on students' academic performance can be built by using historical data for modelling students' learning behaviour. Such models can be employed in educational settings to determine how new students will perform and in predicting whether these students should be classed as at-risk of failing a course. Stakeholders can use…

Predicting student performance in Massive Open Online Courses (MOOCs) is important to aid in retention efforts. Researchers have demonstrated that video watching features can be used to accurately predict student test performance on video quizzes employing neural networks to predict video test grades from viewing behavior including video searching…

Performance Factors Analysis (PFA) is considered one of the most important Knowledge Tracing (KT) approaches used for constructing adaptive educational hypermedia systems. It has shown a high prediction accuracy against many other KT approaches. While, the desire to estimate more accurately the student level leads researchers to enhance PFA by…

The key purpose of this research is to discuss the role of trajectory movements from education and awareness of sustainability perspective in the higher educational sector. The study analyzes how the trajectory movement of students in various academic places of their interest influences sustainable academic performance. A person-administered…

During the COVID-19 pandemic period of almost two years, online teaching was adopted by Higher Educational Institutes (HEIs) mostly as an emergency measure to maintain endurance in teaching-learning activities in academics. Although a lot of research works have focussed on the teaching-learning strategies deployed during the pandemic period, the…

Worksheets are often used during field trips and utilize a learning cycle with three stages (exploration, concept introduction and concept application) to engage learners in the learning activities of observation and exploration. However, traditional paper worksheets do not provide multimedia and interactive presentations with physical objects,…

Information literacy is an essential twenty-first-century skill for students. Most students face difficulty in discerning online information while searching, evaluating, and utilizing it effectively. Appropriate information evaluating framework, such as RADAR (relevance, authority, date, appearance, and reason for writing), has been recommended to…

Digital games have been used in various disciplines to enhance students' learning interest and effectiveness through the gaming contexts. However, most of the digital educational games use multiple-choice questions to confirm students' learning status, implying the challenge of understanding the actual learning status of students. Also, the gaming…

The studies in the literature show that all learners may not benefit from hypermedia learning systems in the same way as a result of their individual differences. Learners with different individual characteristic may display different navigational pattern and they may encounter different problems in the hypermedia learning system. The aim of the…

The role of individual feedback in (online) learning has been widely studied by researchers, but collective feedback based on quizzes and its impact on various academic outcomes has been overlooked to date. The aim of the present study was to compare the effects of displaying individual or collective feedback during an online course on students'…