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Masterman, Elizabeth; Craft, Brock – Research in Learning Technology, 2013
This article presents the case for a theory-informed approach to designing and evaluating representations for implementation in digital tools to support Learning Design, using the framework of epistemic efficacy as an example. This framework, which is rooted in the literature of cognitive psychology, is operationalised through dimensions of fit…
Descriptors: Instructional Design, Electronic Learning, Cognitive Processes, Epistemology
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Caravantes, Arturo; Galan, Ramon – Educational Technology & Society, 2011
The interoperability of educational systems, encouraged by the development of specifications, standards and tools related to the Semantic Web is limited to the exchange of information in domain and student models. High system interoperability requires that a common framework be defined that represents the functional essence of educational systems.…
Descriptors: Foreign Countries, Knowledge Representation, Feasibility Studies, Cognitive Processes
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Shih, Ju-Ling; Shih, Bai-Jiun; Shih, Chun-Chao; Su, Hui-Yu; Chuang, Chien-Wen – Computers & Education, 2010
Since a large variety of digital games have been used in many fields for educational purposes, their real functions in learning have caught much attention as well. This study first defines learning characteristics of problem-solving digital games and their corresponding cognitive levels, then designs and develops a problem-solving game in…
Descriptors: Learning Strategies, Cooperative Learning, Problem Solving, Elementary School Students
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Kay, Robin H.; Knaack, Liesel – Educational Technology Research and Development, 2009
Learning objects are interactive web-based tools that support the learning of specific concepts by enhancing, amplifying, and/or guiding the cognitive processes of learners. Research on the impact, effectiveness, and usefulness of learning objects is limited, partially because comprehensive, theoretically based, reliable, and valid evaluation…
Descriptors: Instructional Design, Construct Validity, Predictive Validity, Measures (Individuals)
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Blessing, Stephen B.; Gilbert, Stephen B.; Ourada, Stephen; Ritter, Steven – International Journal of Artificial Intelligence in Education, 2009
Intelligent Tutoring Systems (ITSs) that employ a model-tracing methodology have consistently shown their effectiveness. However, what evidently makes these tutors effective, the cognitive model embedded within them, has traditionally been difficult to create, requiring great expertise and time, both of which come at a cost. Furthermore, an…
Descriptors: Intelligent Tutoring Systems, Cognitive Processes, Models, Expertise