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Kuo-Chin Lin; Cheng-Wen Ko; Hui-Chun Hung; Nian-Shing Chen – Interactive Learning Environments, 2023
Badminton is a very popular subject in Physical Education (PE). Many students enroll badminton courses in every semester which pose a tremendous teaching load to the instructors. The one-on-one guiding/feedback time provided by the instructor to each student is also greatly reduced. To overcome this challenge, some studies have tried to adopt pose…
Descriptors: Racquet Sports, Psychomotor Skills, Perceptual Motor Learning, Feedback (Response)
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Gang Wang; Xie Qing – Interactive Learning Environments, 2024
This study is intended to analyze the impact of online and offline mixed teaching methods for university students due to COVID-19. The study was conducted when the government relaxed the restrictions imposed during the COVID-19 period. So, the questionnaire was created using Google Forms and then 550 Questionnaires were distributed via email. On…
Descriptors: Electronic Learning, In Person Learning, Teaching Methods, COVID-19
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Lu-Ho Hsia; Gwo-Jen Hwang; Jan-Pan Hwang – Interactive Learning Environments, 2024
To improve students' sports skills performance, it is important to engage them in reflective practice. However, in physical classes, a teacher generally needs to face a number of students, and hence it is almost impossible to provide detailed guidance or feedback to individual students. Scholars have been trying to use Artificial Intelligence (AI)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Physical Education, Feedback (Response)
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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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Verpoorten, Dominique; Westera, Wim – Interactive Learning Environments, 2016
The purpose of this article is to gain an insight into the effects of practicing short, frequent, and structured reflection breaks interspersed with the learning material in a computer-based course. To that end, the study sets up a standardized control trial with two groups of secondary school pupils. The study shows that while performance is not…
Descriptors: Reflection, Teaching Methods, Secondary School Students, Online Courses
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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)
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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