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Huang, Yueh-Min; Hwang, Jan-Pan; Chen, Sherry Y. – Interactive Learning Environments, 2016
Cognitive styles have been regarded as a crucial factor that affects the effectiveness of web-based learning (WBL). Previous research indicated that educational settings that match with students' cognitive styles can enhance students' learning performance, which is, however, linked to their emotion. Various physiological signals can be applied to…
Descriptors: Web Based Instruction, Cognitive Style, Educational Environment, Emotional Response
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van Loon-Hillen, Nelleke; van Gog, Tamara; Brand-Gruwel, Saskia – Interactive Learning Environments, 2012
A large body of research has shown that for novice learners, instruction that relies more heavily on worked examples than on problem solving, is more effective for learning as shown by higher test performance. Moreover, this beneficial effect is often obtained with less acquisition time and lower cognitive load during acquisition and test phase.…
Descriptors: Mathematics Curriculum, Quasiexperimental Design, Learning Strategies, Problem Solving
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Weibel, David; Stricker, Daniel; Wissmath, Bartholomaus – Interactive Learning Environments, 2012
We provided a virtual learning tool to undergraduate psychology students (n = 72) and investigated how different variables influence the learning outcome in terms of performance in an exam and satisfaction with the e-learning tool. These variables were: perceived usefulness, perceived ease of use, attitude towards computers, attitude towards the…
Descriptors: Electronic Learning, Psychology, Usability, Navigation (Information Systems)