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Jamshidifarsani, Hossein; Tamayo-Serrano, Paul; Garbaya, Samir; Lim, Theodore – Journal of Computer Assisted Learning, 2021
Training design for automatic skills has a vast domain of application, such as education, physical and cognitive rehabilitation, as well as sports, arts and professional training. Gamification concept used in technology-assisted training has the potential to increase motivation, engagement and adherence to the training programme. Currently, the…
Descriptors: Game Based Learning, Models, Computer Assisted Instruction, Task Analysis
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Chen, Fei; Xia, Quansheng; Feng, Yan; Wang, Lan; Peng, Gang – Journal of Computer Assisted Learning, 2023
Background: Teaching Mandarin as a second language (L2) has become an important profession and an important research area. The acquisition of unaspirated and aspirated consonants in Mandarin has been reported to be rather challenging for L2 learners. Objectives: In the current study, a 3-D airflow model was integrated into the virtual talking head…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Mandarin Chinese, Models
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Junokas, M. J.; Lindgren, R.; Kang, J.; Morphew, J. W. – Journal of Computer Assisted Learning, 2018
Gestural recognition systems are important tools for leveraging movement-based interactions in multimodal learning environments but personalizing these interactions has proven difficult. We offer an adaptable model that uses multimodal analytics, enabling students to define their physical interactions with computer-assisted learning environments.…
Descriptors: Nonverbal Communication, Multimedia Instruction, Computer Assisted Instruction, Data Analysis
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Frerejean, J.; van Strien, J. L. H.; Kirschner, P. A.; Brand-Gruwel, S. – Journal of Computer Assisted Learning, 2018
Although students often appear to be skilled in retrieving and making use of information from the internet, research shows that their information problem solving skills are overestimated. They show deficiencies in many of the necessary skills, such as generation of search terms, selection of sources, and critical processing of information. It is…
Descriptors: Problem Solving, Problem Based Learning, Skill Development, Training
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Kim, H. S.; Prevost, L.; Lemons, P. P. – Journal of Computer Assisted Learning, 2015
The understanding of core concepts and processes of science in solving problems is important to successful learning in biology. We have designed and developed a Web-based, self-directed tutorial program, "SOLVEIT," that provides various scaffolds (e.g., prompts, expert models, visual guidance) to help college students enhance their…
Descriptors: Biology, College Science, Scientific Concepts, Web Based Instruction
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Wong, L. -H.; Chen, W.; Jan, M. – Journal of Computer Assisted Learning, 2012
The rich learning resources and contexts learners experience in their everyday life could play important roles in complementing formal learning, but are often neglected by learners and teachers. In this paper, we present an intervention study in "Move, Idioms!", a mobile-assisted Chinese language learning approach that emphasizes contextualized…
Descriptors: Learning Activities, Teaching Methods, Group Activities, Web 2.0 Technologies
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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
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Van Rosmalen, P.; Sloep, P. B.; Brouns, F.; Kester, L.; Berlanga, A.; Bitter, M.; Koper, R. – Journal of Computer Assisted Learning, 2008
Tutors have only limited time to support students. In this paper, we discuss a model that addresses the question of how to help students answer content-related questions. A small group of students is created, which consists of the student who asked the question and peers who should be able to answer it. Criteria used to compose the group are the…
Descriptors: Computer Assisted Instruction, Electronic Learning, Educational Technology, Internet
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Ergazaki, M.; Zogza, V.; Komis, V. – Journal of Computer Assisted Learning, 2007
This paper reports on a case study with three dyads of high school students (age 14 years) each collaborating on a plant growth modeling task in the computer-supported educational environment "ModelsCreator". Following a qualitative line of research, the present study aims at highlighting the ways in which the collaborating students as well as the…
Descriptors: Educational Environment, Plants (Botany), Computer Assisted Instruction, Case Studies
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Liber, O. – Journal of Computer Assisted Learning, 2005
This article elaborates the factors that have led to the emergence of the concept of learning objects as the predominant model for digital learning materials, examining the problems that they address. It suggests that while there do appear to be real benefits, for a learning object model to be successful there needs to be a thriving learning…
Descriptors: Instructional Materials, Models, Computer Assisted Instruction, Authors
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McIntyre, A. – Journal of Computer Assisted Learning, 1993
Examines problems of existing courseware authoring systems and suggests the use of knowledge-based techniques. A prototype knowledge-based representation language called GTE (Generic Tutoring Environment) is described that could form the basis of a full authoring environment, including generic tasks and instructional methods, domain knowledge, and…
Descriptors: Computer Assisted Instruction, Courseware, Learning Processes, Models
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Huk, T. – Journal of Computer Assisted Learning, 2006
Empirical studies that focus on the impact of three-dimensional (3D) visualizations on learning are to date rare and inconsistent. According to the ability-as-enhancer hypothesis, high spatial ability learners should benefit particularly as they have enough cognitive capacity left for mental model construction. In contrast, the…
Descriptors: Memory, Cytology, Spatial Ability, Models
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Dobson, M.; And Others – Journal of Computer Assisted Learning, 1993
Discusses collaborative authoring, computer-supported collaborative work and the reuse of multimedia courseware; describes a consolidated model, Open Systems for the Collaborative Authoring and Reuse (OSCAR) of courseware, that was drawn from other abstract models; and examines hypermedia systems, object-oriented communication models, and the…
Descriptors: Authoring Aids (Programing), Collaborative Writing, Computer Assisted Instruction, Courseware
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Sharples, Mike – Journal of Computer Assisted Learning, 1991
Description of ways in which computers might be used to teach visual concepts discusses hypermedia systems; describes computer-generated tutorials; explains the use of computers to create learning aids such as concept maps, feature spaces, and structural models; and gives examples of visual concept teaching in medical education. (10 references)…
Descriptors: Computer Assisted Instruction, Concept Teaching, Hypermedia, Instructional Materials
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Kerres, Micheal – Journal of Computer Assisted Learning, 1995
Discusses instructional design and the integration of computer-assisted learning (CAL) into corporate training. Topics include the social context of learning in models of instructional design, and CAL as a substitute for other instructional media, as an enrichment, and as an organizational innovation. (LRW)
Descriptors: Computer Assisted Instruction, Educational Media, Industrial Training, Instructional Design
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