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Lars de Vreugd; Anouschka van Leeuwen; Marieke van der Schaaf – Journal of Computer Assisted Learning, 2025
Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…
Descriptors: Learning Analytics, Educational Technology, Goal Orientation, Learning Motivation
Hui-Tzu Hsu; Chih-Cheng Lin – Journal of Computer Assisted Learning, 2024
Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning…
Descriptors: Intention, Vocabulary Development, Handheld Devices, College Students
Niu, Liwei; Wang, Xinghua; Wallace, Matthew P.; Pang, Hui; Xu, Yanping – Journal of Computer Assisted Learning, 2022
Background: In view of the widespread use of digital technologies in English as a foreign language (EFL) learning and the importance of students' approaches to learning (SAL) and digital competence, as well as the threats of technostress in digital settings, digital EFL learning requires a critical examination. Objectives: This study sought to…
Descriptors: English (Second Language), Educational Technology, Electronic Learning, Second Language Learning
Ding, Yan; Zhao, Ting – Journal of Computer Assisted Learning, 2020
Emotions are critical to learning. However, the function of emotions in the emerging context of massive open online courses (MOOCs) has been under-researched. The present study complemented this line of research by modelling the relation between learner emotions, engagement with videos, engagement with assignments, and self-perceived achievement…
Descriptors: Psychological Patterns, Online Courses, Learner Engagement, Educational Technology
Soffer, Tal; Cohen, Anat – Journal of Computer Assisted Learning, 2019
This study examined students' engagement characteristics in online courses and their impact on academic achievements, trying to distinguish between course completers and noncompleters. Moreover, this research is intended to differentiate between those who pass the final exam and those who do not. Four online courses were examined with a similar…
Descriptors: Learner Engagement, Student Participation, Online Courses, Educational Technology
Heckel, Christian; Ringeisen, Tobias – Journal of Computer Assisted Learning, 2019
The current study validated the proposed structure of relationships among outcome-related achievement emotions (pride and anxiety), their cognitive predictors (appraisals und online-learning-related self-efficacy), and learning outcomes (competence gain and satisfaction) in the context of online learning in higher education. On the basis of a…
Descriptors: Emotional Response, Anxiety, Predictor Variables, Student Satisfaction
Alario-Hoyos, C.; Muñoz-Merino, P. J.; Pérez-Sanagustín, M.; Delgado Kloos, C.; Parada Gelvez, H. A. – Journal of Computer Assisted Learning, 2016
The role of social tools in massive open online courses (MOOCs) is essential as they connect participants. Of all the participants in an MOOC, top contributors are the ones who more actively contribute via social tools. This article analyses and reports empirical data from five different social tools pertaining to an actual MOOC to characterize…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
de Barba, P. G.; Kennedy, G. E.; Ainley, M. D. – Journal of Computer Assisted Learning, 2016
Over the last 5 years, massive open online courses (MOOCs) have increasingly provided learning opportunities across the world in a variety of domains. As with many emerging educational technologies, why and how people come to MOOCs needs to be better understood and importantly what factors contribute to learners' MOOC performance. It is known that…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Electronic Learning
Hatlevik, O. E.; Ottestad, G.; Throndsen, I. – Journal of Computer Assisted Learning, 2015
Since 2006, the ability to use information and communication technology (ICT) has been included as a key competence in the curriculum in Norway, and specific competence aims are developed for most grades. The aim of this study was to identify students' ability to use ICT according to the competence aims, and to examine factors that can predict…
Descriptors: Grade 7, Foreign Countries, Educational Technology, Technological Literacy
Lee, K.; Tsai, P.-S.; Chai, C. S.; Koh, J. H. L. – Journal of Computer Assisted Learning, 2014
This study explored students' perceptions of self-directed learning (SDL) and collaborative learning (CL) with/without technology in an information and communications technology-supported classroom environment. The factors include SDL, CL, SDL supported by technology, and CL supported by technology. Based on the literature review, this study…
Descriptors: Student Attitudes, Independent Study, Cooperative Learning, Technology Uses in Education
Arbaugh, J. B. – Journal of Computer Assisted Learning, 2014
Considering the increasingly challenging resource environments in many business schools, this study examined whether course technologies, learner behaviors or instructor behaviors best predict online course outcomes so that administrators and support personnel can prioritize their efforts and investments. Based on reviewing prior online and…
Descriptors: Online Courses, Educational Technology, Technology Uses in Education, Hypothesis Testing
Kennedy, G.; Judd, T.; Dalgarno, B.; Waycott, J. – Journal of Computer Assisted Learning, 2010
Previously assumed to be a homogenous and highly skilled group with respect to information and communications technology, the so-called Net Generation has instead been shown to possess a diverse range of technology skills and preferences. To better understand this diversity, we subjected data from 2096 students aged between 17 and 26 from three…
Descriptors: Foreign Countries, Multivariate Analysis, Educational Technology, Misconceptions
Sang, Guoyuan; Valcke, Martin; van Braak, Johan; Tondeur, Jo; Zhu, Chang – Journal of Computer Assisted Learning, 2011
Available research has explored a wide variety of factors influencing information and communication technologies (ICT) adoption and integration in classroom teaching; however, existing research seldom centre on the combined impact of these variables. In addition, the little research available is set up in the Chinese context. The latter is…
Descriptors: Foreign Countries, Constructivism (Learning), Educational Practices, Educational Technology
Ross, John A.; Sibbald, Tim; Bruce, Catherine D. – Journal of Computer Assisted Learning, 2009
Previous research has examined factors influencing teacher decisions to integrate technology using between-teacher designs. This study used a within-teacher design to compare students who were assigned multi-media learning objects for learning fractions with students taught by the same teachers who were not assigned to the technology. There were…
Descriptors: Mathematics Education, Self Efficacy, Mathematics Achievement, Educational Technology
Beal, C. R.; Qu, L.; Lee, H. – Journal of Computer Assisted Learning, 2008
The study was conducted to investigate the relation of adolescent students' mathematics motivation and achievement to their appropriate help-seeking and inappropriate guessing behaviour while using instructional software. High school students (n = 90) completed brief assessments of mathematics motivation and then worked with software for geometry…
Descriptors: Mathematics Achievement, Student Motivation, Courseware, Mathematics Teachers
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