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Showing 1 to 15 of 84 results Save | Export
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Krouska, Akrivi; Troussas, Christos; Virvou, Maria – Journal of Computer Assisted Learning, 2019
Social networks have intruded in human life by providing new technological innovations in a range of fields, including the education. The use of social networks in education has the potential to extend e-learning and to introduce new forms of tutoring, communication, and collaboration between students and instructors. Thus, e-learning is the…
Descriptors: Social Networks, Guidelines, Electronic Learning, Teacher Student Relationship
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Magana, Alejandra J.; Serrano, Mayari I.; Rebello, N. Sanjay – Journal of Computer Assisted Learning, 2019
Virtual learning environments can now be enriched not only with visual and auditory information, but also with tactile and kinesthetic feedback. However, the way to successfully integrate haptic feedback on a multimodal learning environment is still unclear. This study aims to provide guidelines on how visuohaptic simulations can be implemented…
Descriptors: Sequential Learning, Student Development, Concept Formation, Electronic Learning
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Firat, Mehmet; Kilinç, Hakan; Yüzer, Tevfik Volkan – Journal of Computer Assisted Learning, 2018
According to researches, motivation that initiates and sustains behaviour is one of the most significant components of learning in any environment. Accordingly, level of intrinsic motivation triggers and sustains the interest of the open and distance education students when it comes to learning on their own in e-learning environments. Despite a…
Descriptors: Distance Education, Student Motivation, Electronic Learning, Educational Technology
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McKenna, Brigid A.; Kopittke, Peter M. – Journal of Computer Assisted Learning, 2018
Quantifying student engagement with online learning resources on virtual learning environments such as BlackBoard is important in understanding how these technologies enhance the student learning. In the present study, it was examined when, and how often, first-year students accessed lecture recordings, lecture slides, and lecture notes via…
Descriptors: Learner Engagement, Science Instruction, Natural Resources, Science Curriculum
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Cohen, A.; Holstein, S. – Journal of Computer Assisted Learning, 2018
This research examines the characteristics that contributed to the success of massive open online courses (MOOCs) in the fields of software, sciences, and management using data mining and semantic analysis together with content analysis. A total of 3,460 reviews regarding 5 different MOOCs that received a 5/5 grade were extracted from the…
Descriptors: Online Courses, Communities of Practice, Instructional Effectiveness, Outcomes of Education
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Tho, S. W.; Yeung, Y. Y. – Journal of Computer Assisted Learning, 2018
This paper reports our classroom implementation of a new remote laboratory (RL) system, which was developed by using innovative ideas and methods for applying technology-enhanced learning to secondary school science education (Grades 7-9 or Ages 12-14). The newly developed RL system, which involves 8 remote experiments, was tested with 32…
Descriptors: Secondary School Science, Science Education, Secondary School Students, Science Laboratories
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Yen, M.-H.; Chen, S.; Wang, C.-Y.; Chen, H.-L.; Hsu, Y.-S.; Liu, T.-C. – Journal of Computer Assisted Learning, 2018
This article develops a framework for self-regulated digital learning, which supports for self-regulated learning (SRL) in e-learning systems. The framework emphasizes 8 features: learning plan, records/e-portfolio and sharing, evaluation, human feedback, machine feedback, visualization of goals/procedures/concepts, scaffolding, and agents. Each…
Descriptors: Independent Study, Electronic Learning, Models, Online Courses
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Moskaliuk, J.; Matschke, C. – Journal of Computer Assisted Learning, 2018
Learning is a complex process that can be differentiated into assimilation and accommodation. The Internet enables both types of learning through collaboration. There is, however, little research investigating the specific impact of social and information incongruity on assimilation and accommodation. The current research investigates how the…
Descriptors: Learning Processes, Internet, Electronic Learning, Cooperative Learning
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Chang, Chi-Cheng; Warden, Clyde A.; Liang, Chaoyun; Chou, Pao-Nan – Journal of Computer Assisted Learning, 2018
This study examines differences in English listening comprehension, cognitive load, and learning behaviour between outdoor ubiquitous learning and indoor computer-assisted learning. An experimental design, employing a pretest-posttest control group is employed. Randomly assigned foreign language university majors joined either the experimental…
Descriptors: Listening Comprehension, Cognitive Processes, Difficulty Level, Computer Assisted Instruction
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Wang, Cixiao; Fang, Ting; Miao, Rong – Journal of Computer Assisted Learning, 2018
In the increasing pervasiveness of today's digital society, mobile devices are changing the face of education. Students can interact with mobile devices in context-aware environment. This paper presents a mobile application based on expert system (Plant-E) for students to acquire knowledge about plant classification by answering decision-making…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Handheld Devices
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Lange, C.; Costley, J. – Journal of Computer Assisted Learning, 2018
Highly interactive and complex content within e-learning induces high levels of intrinsic load. Self-regulated effort represents one strategy that may help learners overcome such issues within e-learning. Using intrinsic load items representative of content complexity, germane load items representative of learning, and self-regulated effort items…
Descriptors: Metacognition, Electronic Learning, Independent Study, Correlation
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Gyllen, J.; Stahovich, T.; Mayer, R. – Journal of Computer Assisted Learning, 2018
Time on task has been recognized as an important variable in academic learning, but self-report measures of study time are problematic. Therefore, this study employs an automated system for recording time spent reading a course textbook. College students in an introductory engineering course accessed their textbook online. The book contained pages…
Descriptors: Undergraduate Students, Engineering Education, Electronic Learning, Electronic Publishing
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Tingir, S.; Cavlazoglu, B.; Caliskan, O.; Koklu, O.; Intepe-Tingir, S. – Journal of Computer Assisted Learning, 2017
In this meta-analytic study, we investigated the effects of mobile devices on student achievement in science, mathematics and reading in grades K-12. Based on our inclusion criteria, we searched the ERIC and PsycINFO databases and identified 14 peer-reviewed research articles published between 2010 and 2014. We identified the device type, subject…
Descriptors: Handheld Devices, Elementary Secondary Education, Meta Analysis, Academic Achievement
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Mayer, R. E. – Journal of Computer Assisted Learning, 2017
This paper reviews 12 research-based principles for how to design computer-based multimedia instructional materials to promote academic learning, starting with the multimedia principle (yielding a median effect size of d = 1.67 based on five experimental comparisons), which holds that people learn better from computer-based instruction containing…
Descriptors: Multimedia Instruction, Multimedia Materials, Electronic Learning, Instructional Materials
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Chang, Wen-Hui; Liu, Yuan-Chen; Huang, Tzu-Hua – Journal of Computer Assisted Learning, 2017
The purpose of this study is to develop a multi-dimensional scale to measure students' awareness of key competencies for M-learning and to test its reliability and validity. The Key Competencies of Mobile Learning Scale (KCMLS) was determined via confirmatory factor analysis to have four dimensions: team collaboration, creative thinking, critical…
Descriptors: Test Construction, Multidimensional Scaling, Electronic Learning, Test Reliability
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