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van der Meij, J.; de Jong, T. – Journal of Computer Assisted Learning, 2011
Processing of multiple representations in multimedia learning environments is considered to help learners obtain a more complete overview of the domain and gain deeper knowledge. This is based on the idea that relating and translating different representations leads to reflection beyond the boundaries and details of the separate representations.…
Descriptors: Test Items, Computer Assisted Instruction, Learning Processes, Cues
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Cheng, Peter C.-H. – Computers & Education, 1999
Summarizes theoretical and empirical aspects of research that is investigating how best to support conceptual learning and the critical role that representations have in complex scientific and mathematical domains. Explains Law Encoding Diagrams (LEDs) and considers how computers may further enhance the potential benefit of LEDs for conceptual…
Descriptors: Computer Assisted Instruction, Concept Formation, Knowledge Representation, Learning Processes
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Tsai, Chin-Chung – International Journal of Science Education, 2000
Argues for using "conflict maps" as a way of enhancing science teaching and learning. The conflict map emphasizes not only the use of discrepant events, but also the resolution of conflict between students' alternative conceptions and the scientific conception. Discusses the conflict map as an instructional aid for teachers or as a…
Descriptors: Concept Formation, Concept Mapping, Knowledge Base for Teaching, Knowledge Representation
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Zembal-Saul, Carla; Blumenfeld, Phyllis; Krajcik, Joseph – Journal of Research in Science Teaching, 2000
Examines changes in the science content representations of two prospective elementary teachers during their first year in an experimental teacher preparation program. Finds that opportunities to engage in cycles of instruction guided by structured considerations for content representation contributed to improvements in the teachers' science…
Descriptors: Concept Formation, Elementary Education, Knowledge Base for Teaching, Knowledge Representation