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Chen, Sherry Y.; Huang, Pei-Ren; Shih, Yu-Cheng; Chang, Li-Ping – Interactive Learning Environments, 2016
In the past decade, a number of personalized learning systems have been developed and they mainly focus on learners' prior knowledge. On the other hand, previous research suggested that gender differences and cognitive styles have great effects on student learning. To this end, this study examines how human factors, especially gender differences…
Descriptors: Prior Learning, Student Characteristics, Gender Differences, Cognitive Style
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Wei, Chun-Wang; Lin, Yi-Chun; Lin, Yen-Ting – Interactive Learning Environments, 2016
Clinical resources in nursing schools are always insufficient for satisfying the practice requirements of each student at the same time during a formal course session. Although several studies have applied information and communication technology to develop computer-based learning tools for addressing this problem, most of these developments lack…
Descriptors: Nursing Education, Clinical Experience, Web Based Instruction, Nursing Students
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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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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