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Lin, Yu-Ren – Journal of Computer Assisted Learning, 2018
The present study defined three levels of contextualized media and investigated their influences on students' science attitudes, comprehension, and argumentation. To achieve the purpose, an online game-based science argumentation (OGSA) program was developed for the experiments (N = 148). The OGSA included three versions for student argumentation…
Descriptors: Computer Games, Science Instruction, Persuasive Discourse, Prior Learning
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
Ravenscroft, A.; Schmidt, A.; Cook, J.; Bradley, C. – Journal of Computer Assisted Learning, 2012
This paper presents an original approach to designing social media that support informal learning in the digital workplace. It adapts design-based research to take into account the embeddedness of interactions within digitally mediated work-based contexts. The approach is demonstrated through the design, implementation, and evaluation of software…
Descriptors: Informal Education, Formative Evaluation, Methods, Organizational Development
Sha, L.; Looi, C.-K.; Chen, W.; Zhang, B. H. – Journal of Computer Assisted Learning, 2012
Cognizant of the research gap in the theorization of mobile learning, this paper conceptually explores how the theories and methodology of self-regulated learning (SRL), an active area in contemporary educational psychology, are inherently suited to address the issues originating from the defining characteristics of mobile learning: enabling…
Descriptors: Foreign Countries, Educational Technology, Electronic Learning, Elementary School Science
Popescu, E. – Journal of Computer Assisted Learning, 2010
Personalized instruction is seen as a desideratum of today's e-learning systems. The focus of this paper is on those platforms that use learning styles as personalization criterion called learning style-based adaptive educational systems. The paper presents an innovative approach based on an integrative set of learning preferences that alleviates…
Descriptors: Electronic Learning, Undergraduate Students, Cognitive Style, Individualized Instruction
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
Manouselis, N.; Vuorikari, R.; Van Assche, F. – Journal of Computer Assisted Learning, 2010
Repositories with educational resources can support the formation of online learning communities by providing a platform for collaboration. Users (e.g. teachers, tutors and learners) access repositories, search for interesting resources to access and use, and in many cases, also exchange experiences and opinions. A particular class of online…
Descriptors: Foreign Countries, Internet, Electronic Learning, Web Sites
Yu, S. Q.; Wang, Minjuan J. – Journal of Computer Assisted Learning, 2006
The Modern Distance Education Project for the Rural Schools (MDEPRS) of China has a wider scope and serves a larger population than any other informational project in the world. It likely will result in a far-reaching informational revolution for basic education in China. Here, we introduce three main innovative models of material delivery, the…
Descriptors: Distance Education, Rural Schools, Foreign Countries, Models
Peer reviewedd'Agapeyeff, A. – Journal of Computer Assisted Learning, 1986
Intended for potential business users, this paper describes the main characteristics of expert systems; discusses practical use considerations; presents a taxonomy of the systems; and reviews several expert system development projects in business and industry. (MBR)
Descriptors: Classification, Computer Software, Definitions, Foreign Countries

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