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Showing 1 to 15 of 38 results Save | Export
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Yanqing Wang; Shaoying Gong; Ning Jia; Ying Liu – Journal of Computer Assisted Learning, 2025
Background: Online learning is becoming increasingly popular among learners. To enhance the effectiveness of online learning, researchers have embedded an affective pedagogical agent (PA) on the computer screen to help regulate learners' emotions and support their learning. However, previous research has paid little attention to the effects of…
Descriptors: Metacognition, Prompting, Electronic Learning, Computer Uses in Education
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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
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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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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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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
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Taramopoulos, A.; Psillos, D. – Journal of Computer Assisted Learning, 2017
The present study investigates the impact of utilizing virtual laboratory environments combining dynamically linked concrete and abstract representations in investigative activities on the ability of students to comprehend simple and complex phenomena in the field of electric circuits. Forty-two 16- to 17-year-old high school students participated…
Descriptors: Energy, Computer Simulation, High School Students, Computer Assisted Instruction
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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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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
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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
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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
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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
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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
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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
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Hemmi, A.; Bayne, S.; Land, R. – Journal of Computer Assisted Learning, 2009
This paper presents some of the findings from a recent project that conducted a virtual ethnographic study of three formal courses in higher education that use "Web 2.0" or social technologies for learning and teaching. It describes the pedagogies adopted within these courses, and goes on to explore some key themes emerging from the research and…
Descriptors: Higher Education, Ethnography, Social Networks, Teaching Methods
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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
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