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…

During the past decades a respectable number and variety of theoretical perspectives and practical approaches have been advanced for studying determinants for prediction and explanation of user's behavior towards acceptance and adoption of educational technology. Aiming to identify the most prominent factors affecting and reliably predicting…

Online learning environments have become a contemporary component of global tertiary education due to their affordances. These environments are hinged on internet-based learning management systems and one such tool is Google Classroom. However, empirical studies have indicated that gaps exist in determining how Google Classroom influences…

The use of eLearning platforms has made it possible to continue the learning process in universities, and other educational institutions, during the COVID pandemic. Students' acceptance of eLearning is important because it is associated with their engagement in the online teaching--learning environment. This study used the Unified Theory of…

The information revolution has transformed higher education. After the COVID-19 pandemic, teachers and instructors were encouraged to improve technology-enhanced teaching methods. Furthermore, various factors influenced the adoption of internet and digital-based technologies as an aspect of teaching methodology, including its usefulness, ease of…

This paper explores mobile learning (m-learning) acceptance and use through integrating UTAUT and IS success models to examine whether quality factors (including "Information Quality," "System Quality" and "Service Quality") and behavioral factors (including "Performance Expectancy," "Social…

If teachers have previously used technology (e.g., Learning Management Systems, document sharing, video-conferencing, gamification, social media or video-recording), they are likely to use it again. For second language teachers, sudden or planned-for online instruction during the COVID-19 pandemic may have resulted in their using new or familiar…

Purpose: In today's dynamic situation, innumerable challenges are posited in the education sector because of the COVID-19 pandemic. Higher educational institutes (HEIs) are compelled to adopt digital technologies and technology-mediated learning in the teaching-learning processes. The purpose of this paper is to understand the factors affecting…

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 aims to uncover the extension of the Technology Acceptance Model (TAM) in understanding, explaining, and predicting elementary school teachers' behavior in Indonesia to use online learning technology during the COVID-19 pandemic. The TAM model in this study is extended by accounting for four additional variables, which are subjective…

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…

This paper focuses on the usefulness of the UTAUT model in explaining behavioural intention to adopt mobile learning in the Caribbean. It employs confirmatory factor analysis with robust maximum likelihood estimation, to evaluate the measures, comparability of the measures and to compare the means of the factors between five university-territory…

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…

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…