NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Assessments and Surveys
Learning Style Inventory1
What Works Clearinghouse Rating
Showing 31 to 45 of 123 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Kim, Min Kyu; McCarthy, Kathryn S. – Journal of Computer Assisted Learning, 2021
Summary writing is a useful instructional tool for learning. However, summary writing is a challenge to many students. This mixed-method study examined the potential of the Student Mental Model Analyzer for Research and Teaching (SMART) system to help students produce summaries that reflect key concepts and relations in a text. SMART uses the…
Descriptors: Writing Improvement, Formative Evaluation, Technology Integration, Schemata (Cognition)
Peer reviewed Peer reviewed
Direct linkDirect link
Zhang, Yining; Lin, Chin-Hsi – Journal of Computer Assisted Learning, 2021
This study extends the community of inquiry (CoI) framework and self-regulated learning (SRL) theory through an exploration of the structural relationships among existing CoI variables, learning presence (i.e., self-efficacy and online SRL strategy) and learning outcomes in the context of K-12 online learning. To help understand the influence of…
Descriptors: Mentors, Communities of Practice, Metacognition, Self Efficacy
Peer reviewed Peer reviewed
Direct linkDirect link
Rets, Irina; Rogaten, Jekaterina – Journal of Computer Assisted Learning, 2021
Open Educational Resources (OER) aim to provide equal access to education. Yet, as the language level used in OER presents a barrier to many learners, there is a need to make these resources more comprehensible. This study combined eye-tracking methodology and comprehension assessment to explore the effect of text simplification on English second…
Descriptors: Open Educational Resources, Second Language Learning, Second Language Instruction, English (Second Language)
Peer reviewed Peer reviewed
Direct linkDirect link
Deng, Ruiqi; Benckendorff, Pierre; Gannaway, Deanne – Journal of Computer Assisted Learning, 2020
Prior studies of MOOC learners have focused almost exclusively on behavioural and social aspects of engagement. This paper extends the scope of previous studies by adopting a multi-dimensional, person-centred approach to investigate learner engagement in MOOCs. An analysis of 1,452 self-administered survey responses uncovered three prototypical…
Descriptors: Online Courses, Open Education, Outcomes of Education, Learner Engagement
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Chen; Sonnert, Gerhard; Sadler, Philip M.; Malan, David J. – Journal of Computer Assisted Learning, 2020
Massive open online course (MOOC) studies have shown that precourse skills (such as precomputational thinking) and course engagement measures (such as making multiple submission attempts with assignments when the initial submission is incorrect) predict students' grade performance, yet little is known about whether these factors predict students'…
Descriptors: Computation, Thinking Skills, Assignments, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Kim, Min Kyu; Lee, In Heok; Wang, Yinying – Journal of Computer Assisted Learning, 2020
In this study, we examined the role of leadership styles and multi-dimensional learner engagement in how students emerge as learning leaders in asynchronous online discussions. Grounded in the conceptual framework of two dominant leadership styles of transformational and transactional leadership, this study applies the two leadership…
Descriptors: Student Leadership, Group Discussion, Computer Mediated Communication, Leadership Styles
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Yang; Liu, Qingtang – Journal of Computer Assisted Learning, 2020
This study analysed the instructors' teaching presence of three courses conducted by an instructor to explore the effects of the instructors' online teaching presence on students' interactions and collaborative knowledge constructions. Content analysis, social network analysis, and lag sequential analysis were used to explore the mechanism of…
Descriptors: Online Courses, Teacher Student Relationship, Cooperative Learning, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Ucar, Hasan; Kumtepe, Alper Tolga – Journal of Computer Assisted Learning, 2020
This exploratory experimental study investigates the impact of motivational strategies based on the Attention, Relevance, Confidence, Satisfaction, and Volition (ARCS-V) model on online learners' academic performance, motivation, volition, and course interest. The research was conducted over an 11-week semester with 122 undergraduate online…
Descriptors: Motivation Techniques, Student Motivation, Online Courses, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Blieck, Yves; Kauwenberghs, Kurt; Zhu, Chang; Struyven, Katrien; Pynoo, Bram; DePryck, Koen – Journal of Computer Assisted Learning, 2019
Online and blended learning (OBL) is valued, but it also offers challenges. Literature indicates that OBL can enhance access to education and increase flexibility for students. However, the reported dropout rates indicate that student participation in OBL programmes is a concern. Scientifically valid knowledge about how factors that help students…
Descriptors: Online Courses, Blended Learning, Educational Technology, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Filius, Renée M.; de Kleijn, Renske A. M.; Uijl, Sabine G.; Prins, Frans J.; van Rijen, Harold V. M.; Grobbee, Diederick E. – Journal of Computer Assisted Learning, 2019
We investigated the relation between providing and receiving audio peer feedback with a deep approach to learning within online education. Online students were asked to complete peer feedback assignments. Data through a questionnaire with 108 respondents and 14 interviews were used to measure to what extent deep learning was perceived and why.…
Descriptors: Feedback (Response), Peer Influence, Online Courses, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
García-Martínez, Carlos; Cerezo, Rebeca; Bermúdez, Manuel; Romero, Cristóbal – Journal of Computer Assisted Learning, 2019
Most massive open online courses (MOOC) use simple schemes for aggregating peer grades, taking the mean or the median, or compute weights from information other than the instructor's opinion about the students' knowledge. To reduce the difference between the instructor and students' aggregated scores, some proposals compute specific weights to…
Descriptors: Scores, Online Courses, Grades (Scholastic), Peer Groups
Peer reviewed Peer reviewed
Direct linkDirect link
Ma, Long; Lee, Chei Sian – Journal of Computer Assisted Learning, 2019
In spite of the potentials promised by MOOCs (massive open online courses), the adoption rate of MOOCs is still low, especially in developing countries. Research on the adoption of MOOCs in developing countries is also limited. To fill this research gap, this research aims to study the adoption of MOOCs by extending current research on innovation…
Descriptors: Educational Technology, Technology Uses in Education, Large Group Instruction, Online Courses
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9