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Maaliw, Renato R. III; Ballera, Melvin A. – International Association for Development of the Information Society, 2017
The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…
Descriptors: Classification, Cognitive Style, Electronic Learning, Decision Making
Lopez, J. L. Gimenez; Royo, T. Magal; Laborda, Jesus Garcia; Calvo, F. Garde – Online Submission, 2009
This article analyses different methods of adapting digital content for its delivery via mobile devices taking into account two aspects which are a fundamental part of the learning process; on the one hand, functionality of the contents, and on the other, the actual controlled navigation requirements that the learner needs in order to acquire high…
Descriptors: Electronic Publishing, Delivery Systems, Handheld Devices, Programming
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
Gutbrod, Martin; Werner, Christian; Fischer, Stefan – Interactive Technology and Smart Education, 2006
One of today's major problems in the field of e-learning is that the creation of high-quality content is still rather time consuming and expensive. In the past, many efforts have been made to produce educational content on the fly, but the results were mainly static blocks of recorded lecture lacking sophisticated navigation facilities. Facing…
Descriptors: Electronic Learning, Distance Education, Metadata, Educational Technology
Retalis, Symeon; Papasalouros, Andreas – Educational Technology & Society, 2005
Educational Adaptive Hypermedia Applications (EAHA) provide personalized views on the learning content to individual learners. They also offer adaptive sequencing (navigation) over the learning content based on rules that stem from the user model requirements and the instructional strategies. EAHA are gaining the focus of the research community as…
Descriptors: Barriers, Models, Educational Strategies, Engineering
Papasalouros, Andreas; Retalis, Symeon; Papaspyrou, Nikolaos – Educational Technology & Society, 2004
The role of conceptual modeling in Educational Adaptive Hypermedia Applications (EAHA) is especially important. A conceptual model of an educational application depicts the instructional solution that is implemented, containing information about concepts that must be ac-quired by learners, tasks in which learners must be involved and resources…
Descriptors: Intelligent Tutoring Systems, Models, Individualized Instruction, Educational Technology
Magoulas, George, Ed.; Chen, Sherry, Ed. – Information Science Publishing, 2006
Advances in technology are increasingly impacting the way in which curriculum is delivered and assessed. The emergence of the Internet has offered learners a new instructional delivery system that connects them with educational resources. "Advances in Web-Based Education: Personalized Learning Environments" covers a wide range of factors that…
Descriptors: Feedback (Response), Delivery Systems, Learning Modules, Educational Technology

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