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Showing 1 to 15 of 18 results Save | Export
Xia, Jinyue – ProQuest LLC, 2017
Current online video interaction is typically designed with a focus on straightforward distribution and passive consumption of individual videos. This "click play, sit back and watch" context is typical of videos for entertainment. However, there are many task scenarios that require active engagement and analysis of video content as a…
Descriptors: Interactive Video, Information Seeking, Comparative Analysis, Computer Interfaces
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Davids, Mogamat Razeen; Chikte, Usuf M. E.; Halperin, Mitchell L. – Advances in Physiology Education, 2013
Optimizing the usability of e-learning materials is necessary to maximize their potential educational impact, but this is often neglected when time and other resources are limited, leading to the release of materials that cannot deliver the desired learning outcomes. As clinician-teachers in a resource-constrained environment, we investigated…
Descriptors: Foreign Countries, Heuristics, Electronic Learning, Usability
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Zaharias, Panagiotis; Koutsabasis, Panayiotis – Campus-Wide Information Systems, 2012
Purpose: The purpose of this paper is to discuss heuristic evaluation as a method for evaluating e-learning courses and applications and more specifically to investigate the applicability and empirical use of two customized e-learning heuristic protocols. Design/methodology/approach: Two representative e-learning heuristic protocols were chosen…
Descriptors: Heuristics, Evaluation Methods, Comparative Analysis, Electronic Learning
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Jalonen, Satu; Lakkala, Minna; Paavola, Sami – Computers & Education, 2011
The aim of the present study was to examine the technological affordances of a web-based collaborative learning technology, Knowledge Practices Environment (KPE), for supporting different dimensions of knowledge creation processes. KPE was used by engineering students in a practically oriented undergraduate engineering course. The study…
Descriptors: Engineering Education, Cooperative Learning, Visual Aids, Electronic Learning
Morris, Mitchell J. – ProQuest LLC, 2012
Quickly accessing the contents of a video is challenging for users, particularly for unstructured video, which contains no intentional shot boundaries, no chapters, and no apparent edited format. We approach this problem in the domain of lecture videos though the use of machine learning, to gather semantic information about the videos; and through…
Descriptors: Heuristics, Electronic Learning, Video Technology, Computer Interfaces
Garcia Laborda, Jesus; Magal-Royo, Teresa; Lopez, Jose Luis Gimenez – Online Submission, 2011
As the use of mobile learning educational applications has become more common anywhere in the world, new concerns have appeared in the classroom, human interaction in software engineering and ergonomics. new tests of foreign languages for a number of purposes have become more and more common recently. However, studies interrelating language tests…
Descriptors: Foreign Countries, Electronic Learning, Language Tests, Computer Software
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Chou, Chien; Peng, Hsinyi; Chang, Chun-Yu – Computers & Education, 2010
This study explores the interactivity of course-management systems (CMSs). First, this study reviews the concepts of interactivity, interactivity dimension, and interaction type on the basis of related theories and studies. Second, this study analyzes the interactive functions attributable to the six major CMSs in Taiwan colleges and universities,…
Descriptors: Electronic Learning, Instructional Design, Student Attitudes, Interaction
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Cho, Vincent; Cheng, T. C. Edwin; Lai, W. M. Jennifer – Computers & Education, 2009
While past studies on user-interface design focused on a particular system or application using the experimental approach, we propose a theoretical model to assess the impact of perceived user-interface design (PUID) on continued usage intention (CUI) of self-paced e-learning tools in general. We argue that the impact of PUID is mediated by two…
Descriptors: Intention, Foreign Countries, Use Studies, College Students
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Penedo, Janaina Rodrigues; Diniz, Morganna; Ferreira, Simone Bacellar Leal; Silveira, Denis S.; Capra, Eliane – Interactive Technology and Smart Education, 2012
Purpose: The purpose of this paper is to analyze the usability of a remote learning system in its initial development phase, using a quantitative usability evaluation method through Markov models. Design/methodology/approach: The paper opted for an exploratory study. The data of interest of the research correspond to the possible accesses of users…
Descriptors: Markov Processes, Evaluation Methods, Probability, Evaluation Research
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Griffiths, David; Beauvoir, Phillip; Liber, Oleg; Barrett-Baxendale, Mark – Distance Education, 2009
The use of the Web to deliver open, distance, and flexible learning has opened up the potential for social interaction and adaptive learning, but the usability, expressivity, and interoperability of the available tools leave much to be desired. This article explores these issues as they relate to teachers and learning designers through the case of…
Descriptors: Barriers, Use Studies, Program Development, Standards
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Rigas, Dimitrios; Alharbi, Abdulrhman – Interactive Technology and Smart Education, 2011
Purpose: The purpose of this paper is to investigate the usability (effectiveness, efficiency and user satisfaction) of e-feedback interfaces. The experiment compares a traditional visual approach with a multimodal approach in order to determine the impact of multimodal metaphors upon the user's understanding, reasoning and engagement with the…
Descriptors: Feedback (Response), User Satisfaction (Information), Learner Engagement, Writing Exercises
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Amershi, Saleema; Conati, Cristina – Journal of Educational Data Mining, 2009
In this paper, we present a data-based user modeling framework that uses both unsupervised and supervised classification to build student models for exploratory learning environments. We apply the framework to build student models for two different learning environments and using two different data sources (logged interface and eye-tracking data).…
Descriptors: Supervision, Classification, Models, Educational Environment
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George-Palilonis, Jennifer; Filak, Vincent – International Journal on E-Learning, 2010
As graphically driven, animated, interactive applications offer educators new opportunities for shaping course content, new avenues for research arise as well. Along with these developments comes a need to study the effectiveness of the individual tools at our disposal as well as various methods for integrating those tools in a classroom setting.…
Descriptors: Course Content, Learner Engagement, Science Instruction, Electronic Learning
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Mertens, Robert; Ketterl, Markus; Brusilovsky, Peter – Interactive Technology and Smart Education, 2010
Purpose: Social navigation is an emerging trend for navigation in hypermedia. With social navigation, users can be guided through large volumes of learning content by cues which integrate the browsing history of past users. Earlier papers have shown that social navigation is suitable for navigation not only in classic hypermedia but also in…
Descriptors: Foreign Countries, Feedback (Response), Cues, Questionnaires
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Veletsianos, George – Computers & Education, 2010
Humans draw on their stereotypic beliefs to make assumptions about others. Even though prior research has shown that individuals respond socially to media, there is little evidence with regards to learners stereotyping and categorizing pedagogical agents. This study investigated whether learners stereotype a pedagogical agent as being…
Descriptors: Computer Assisted Instruction, Artists, Scientists, Context Effect
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