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Wang, Jingyun; Shimada, Atsushi; Oi, Misato; Ogata, Hiroaki; Tabata, Yoshiyuki – Interactive Learning Environments, 2023
This study presents an ontology-based visualization support system for e-book learners which promotes both meaningful receptive learning and meaningful discovery learning. To examine the system effectiveness, two learning modes are used: (a) reception comparison mode, where at the outset learners are shown complete versions of expert-generated…
Descriptors: Visualization, Electronic Publishing, Books, Electronic Learning
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Chuang, Chien-Pen; Jou, Min; Lin, Yen-Ting; Lu, Cheng-Tien – Interactive Learning Environments, 2015
Electronic engineering industries require technical specialists to operate precision electronic instruments. However, limitations in course designs and equipment availability mean that only a few students are able to use the equipment in practical lessons within a limited timeframe. Also, instruction of techniques and skills are still mostly…
Descriptors: Foreign Countries, Engineering Education, Technical Education, Context Effect
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Liu, Han-Chin; Chuang, Hsueh-Hua – Interactive Learning Environments, 2011
This study investigated how the format of verbal instructions in computer simulations and prior knowledge (PK) affected 8th graders' cognitive load (CL) level and achievement in a multimedia learning environment. Although PK was not found to significantly affect student performance and CL level, instruction format was found to impact both.…
Descriptors: Electronic Learning, Instructional Design, Prior Learning, Grade 8
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Smits, Marieke H. S. B.; Boon, Jo; Sluijsmans, Dominique M. A.; van Gog, Tamara – Interactive Learning Environments, 2008
This study investigated the effectiveness of different types of feedback content (elaborate versus global) and feedback timing (immediate versus delayed) for learning genetics in a web-based learning environment as a function of learners' prior knowledge. It was hypothesized that learning outcomes of students with low prior knowledge would be…
Descriptors: Feedback (Response), Student Attitudes, Computer Assisted Instruction, Prior Learning