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Showing 1 to 15 of 79 results Save | Export
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van Wermeskerken, Margot; Grimmius, Bianca; van Gog, Tamara – Journal of Computer Assisted Learning, 2018
We investigated the effects of seeing the instructor's (i.e., the model's) face in video modeling examples on students' attention and their learning outcomes. Research with university students suggested that the model's face attracts students' attention away from what the model is doing, but this did not hamper learning. We aimed to investigate…
Descriptors: Video Technology, Autism, Pervasive Developmental Disorders, Outcomes of Education
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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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Yu, L. C.; Lee, C. W.; Pan, H. I.; Chou, C. Y.; Chao, P. Y.; Chen, Z. H.; Tseng, S. F.; Chan, C. L.; Lai, K. R. – Journal of Computer Assisted Learning, 2018
This study presents a model for the early identification of students who are likely to fail in an academic course. To enhance predictive accuracy, sentiment analysis is used to identify affective information from text-based self-evaluated comments written by students. Experimental results demonstrated that adding extracted sentiment information…
Descriptors: Prediction, Academic Failure, Models, Identification
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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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Di Mitri, Daniele; Schneider, Jan; Specht, Marcus; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2018
Multimodality in learning analytics and learning science is under the spotlight. The landscape of sensors and wearable trackers that can be used for learning support is evolving rapidly, as well as data collection and analysis methods. Multimodal data can now be collected and processed in real time at an unprecedented scale. With sensors, it is…
Descriptors: Educational Research, Data Collection, Data Analysis, Learning Modalities
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Cojean, Salomé; Jamet, Eric – Journal of Computer Assisted Learning, 2018
Information seeking (IS) has become a critical activity in video-based environments. Up to now, the effects of support on information seeking (i.e., scaffolding) have seldom been assessed. The twofold aim of the current study was to (a) assess the effects of scaffolding on IS in videos and (b) determine the characteristics of the users' mental…
Descriptors: Scaffolding (Teaching Technique), Information Seeking, Video Technology, Technology Uses in Education
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Hooshyar, Danial; Yousefi, M.; Wang, M.; Lim, H. – Journal of Computer Assisted Learning, 2018
Although game-based learning has been increasingly promoted in education, there is a need to adapt game content to individual needs for personalized learning. Procedural content generation (PCG) offers a solution for difficulty in developing game contents automatically by algorithmic means as it can generate individually customizable game contents…
Descriptors: Educational Games, Computer Games, Data, Individualized Instruction
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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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Pursel, B. K.; Zhang, L.; Jablokow, K. W.; Choi, G. W.; Velegol, D. – Journal of Computer Assisted Learning, 2016
Massive open online courses (MOOCs) continue to appear across the higher education landscape, originating from many institutions in the USA and around the world. MOOCs typically have low completion rates, at least when compared with traditional courses, as this course delivery model is very different from traditional, fee-based models, such as…
Descriptors: Online Courses, Graduation Rate, Delivery Systems, Models
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Baker, R. S.; Clarke-Midura, J.; Ocumpaugh, J. – Journal of Computer Assisted Learning, 2016
Recent interest in online assessment of scientific inquiry has led to several new online systems that attempt to assess these skills, but producing models that detect when students are successfully practising these skills can be challenging. In this paper, we study models that assess student inquiry in an immersive virtual environment, where a…
Descriptors: Virtual Classrooms, Inquiry, Middle School Students, Performance Based Assessment
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Wu, Y. – Journal of Computer Assisted Learning, 2016
Technologies bring a new era of content presentation for online teaching and learning. With more instructors adopting new tools to design online teaching materials, students are often put into learning contexts with certain new design components. Assessing learner experience and outcome in these contexts is challenging because of the complexity…
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Models
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Ting, M.-Y.; Kuo, B.-C. – Journal of Computer Assisted Learning, 2016
The purpose of this study was to investigate the effect of a calculus system that was designed using an adaptive dynamic assessment (DA) framework on performance in the "finding an area using an integral". In this study, adaptive testing and dynamic assessment were combined to provide different test items depending on students'…
Descriptors: Calculus, Alternative Assessment, Models, Test Items
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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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Yurdakul, I. Kabakci; Coklar, A. N. – Journal of Computer Assisted Learning, 2014
The purpose of this study was to build a model that predicts the relationships between the Technological Pedagogical Content Knowledge (TPACK) competencies and information and communication technology (ICT) usages. Research data were collected from 3105 Turkish preservice teachers. The TPACK-Deep Scale, ICT usage phase survey and the ICT usage…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Teacher Competencies, Preservice Teachers
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Cress, U.; Held, C. – Journal of Computer Assisted Learning, 2013
Tagging systems represent the conceptual knowledge of a community. We experimentally tested whether people harness this collective knowledge when navigating through the Web. As a within-factor we manipulated people's prior knowledge (no knowledge vs. prior knowledge that was congruent/incongruent to the collective knowledge inherent in the tags).…
Descriptors: Classification, Internet, Prior Learning, Navigation (Information Systems)
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