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Bower, Matt – Journal of Interactive Media in Education, 2016
Many recent technologies provide the ability to dynamically adjust the interface depending on the emerging cognitive and collaborative needs of the learning episode. This means that educators can adaptively re-design the learning environment during the lesson, rather than purely relying on preemptive learning design thinking. Based on a…
Descriptors: Electronic Learning, Instructional Design, Videoconferencing, Teleconferencing
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Paquette, Gilbert – Technology, Instruction, Cognition and Learning, 2010
This article analyses educational modelling with the IMS-LD specification from the perspective of knowledge-based learning environments. An extension of the MOT visual language covers a wider variety of rule formats to provide control of the flow of activities in a multi-actor process-based scenario. The visual scenarios are executed by an…
Descriptors: Instructional Design, Standards, Visual Aids, Electronic Learning
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Stieff, Mike – Journal of Research in Science Teaching, 2011
The present article discusses the design and impact of computer-based visualization tools for supporting student learning and representational competence in science. Specifically, learning outcomes and student representation use are compared between eight secondary classrooms utilizing The Connected Chemistry Curriculum and eight secondary…
Descriptors: Secondary School Science, Chemistry, Lecture Method, Computer Uses in Education
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Ifenthaler, Dirk – Educational Technology Research and Development, 2010
The demand for good instructional environments presupposes valid and reliable analytical instruments for educational research. This paper introduces the "SMD Technology" (Surface, Matching, Deep Structure), which measures relational, structural, and semantic levels of graphical representations and concept maps. The reliability and validity of the…
Descriptors: Concept Mapping, Educational Research, Semantics, Validity
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Knauf, Rainer; Sakurai, Yoshitaka; Tsuruta, Setsuo; Jantke, Klaus P. – Journal of Educational Computing Research, 2010
University education often suffers from a lack of an explicit and adaptable didactic design. Students complain about the insufficient adaptability to the learners' needs. Learning content and services need to reach their audience according to their different prerequisites, needs, and different learning styles and conditions. A way to overcome such…
Descriptors: Prerequisites, College Instruction, Educational Experiments, Cognitive Style