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Zhe Wang; Sara Abercrombie; Rachel Wong; Yuxin Ren; Shiting Dai – Journal of Computer Assisted Learning, 2024
Background: There are two major types of pictures that have been the focus of multimedia learning research, namely, seductive and interpretational pictures. Despite an increasing body of literature documenting the effects of either seductive or interpretational pictures added to text-based materials, there is a paucity of research explicitly…
Descriptors: Electronic Learning, Computers, Computer Assisted Instruction, Visual Aids
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
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
Thai, Ngoc Thuy Thi; De Wever, Bram; Valcke, Martin – Journal of Computer Assisted Learning, 2020
This study compares four learning environments: face-to-face learning (F2F), fully e-learning (EL), blended learning (BL), and flipped classroom (FC) with respect to students' learning performance. Moreover, this present research studies changes in perceived flexibility, intrinsic motivation, self-efficacy beliefs of students, and the interaction…
Descriptors: Blended Learning, Teaching Methods, Comparative Analysis, Self Efficacy
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
Glogger-Frey, I.; Kappich, J.; Schwonke, R.; Holzäpfel, L.; Nückles, M.; Renkl, A. – Journal of Computer Assisted Learning, 2015
A brief, problem-oriented phase such as an inventing activity is one potential instructional method for preparing learners not only cognitively but also motivationally for learning. Student teachers often need to overcome motivational barriers in order to use computer-based learning opportunities. In a preliminary experiment, we found that student…
Descriptors: Electronic Learning, Computer Assisted Instruction, Computer Uses in Education, Student Teachers
Graf, S.; Liu, T.-C.; Kinshuk, – Journal of Computer Assisted Learning, 2010
Providing adaptive features and personalized support by considering students' learning styles in computer-assisted learning systems has high potential in making learning easier for students in terms of reducing their efforts or increasing their performance. In this study, the navigational behaviour of students in an online course within a learning…
Descriptors: Cognitive Style, Management Systems, Online Courses, Computer Assisted Instruction
van Schaik, P.; Martin, S.; Vallance, M. – Journal of Computer Assisted Learning, 2012
In contexts other than immersive virtual environments, theoretical and empirical work has identified flow experience as a major factor in learning and human-computer interaction. Flow is defined as a "holistic sensation that people feel when they act with total involvement". We applied the concept of flow to modeling the experience of…
Descriptors: Structural Equation Models, Interaction, Problem Solving, Psychometrics
Clements, K. I.; Pawlowski, J. M. – Journal of Computer Assisted Learning, 2012
We analysed how teachers as users of open educational resources (OER) repositories act in the re-use process and how they perceive quality. Based on a quantitative empirical study, we also surveyed which quality requirements users have and how they would contribute to the quality process. Trust in resources, organizations, and technologies seem to…
Descriptors: Trust (Psychology), Educational Resources, Electronic Learning, Computer Assisted Instruction
Meier, C.; Seufert, S.; Euler, D. – Journal of Computer Assisted Learning, 2012
This paper reviews the experiences and learnings derived from the European Foundation for Management Development's programme accreditation teChnology-Enhanced Learning (EFMD CEL) programme accreditation. The EFMD CEL quality framework is briefly described, and an overview of the programmes that have pursued accreditation is presented.…
Descriptors: Foreign Countries, Electronic Learning, Accreditation (Institutions), Educational Administration
Tsai, P.-S.; Tsai, C.-C.; Hwang, G.-J. – Journal of Computer Assisted Learning, 2012
This study developed a survey to explore students' preferences in constructivist context-aware ubiquitous learning environments. A constructivist context-aware ubiquitous learning (u-learning) environment survey (CULES) was developed, consisting of eight scales, including ease of use, continuity, relevance, adaptive content, multiple sources,…
Descriptors: Constructivism (Learning), Student Attitudes, Learning Activities, Foreign Countries
Bremer, C. – Journal of Computer Assisted Learning, 2012
The paper describes the procedure model AKUE, which aims at the improvement and assurance of quality and cost efficiency in the context of the introduction of e-learning and the development of digital learning material. AKUE divides the whole planning and implementation process into four different phases: analysis, conception, implementation, and…
Descriptors: Electronic Learning, Feedback (Response), Cost Effectiveness, Efficiency
FitzGerald, E. – Journal of Computer Assisted Learning, 2012
Two recent emerging trends are that of Web 2.0, where users actively create content and publish it on the Web, and also location awareness, where a digital device utilizes a person's physical location as the context to provide specific services and/or information. This paper examines how these two phenomena can be brought together so that…
Descriptors: Language Usage, Informal Education, Knowledge Level, Interaction
Vogel-Walcutt, J. J.; Gebrim, J. B.; Bowers, C.; Carper, T. M.; Nicholson, D. – Journal of Computer Assisted Learning, 2011
Computer-assisted learning, in the form of simulation-based training, is heavily focused upon by the military. Because computer-based learning offers highly portable, reusable, and cost-efficient training options, the military has dedicated significant resources to the investigation of instructional strategies that improve learning efficiency…
Descriptors: Educational Strategies, Constructivism (Learning), Instructional Design, Teaching Methods
Hall, L. O.; Soderstrom, T.; Ahlqvist, J.; Nilsson, T. – Journal of Computer Assisted Learning, 2011
This article is about collaborative learning with educational computer-assisted simulation (ECAS) in health care education. Previous research on training with a radiological virtual reality simulator has indicated positive effects on learning when compared to a more conventional alternative. Drawing upon the field of Computer-Supported…
Descriptors: Feedback (Response), Computer Simulation, Allied Health Occupations Education, Achievement Tests
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