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Hsiao, Hsien-Sheng; Chen, Jyun-Chen; Lin, Chien-Yu; Zhuo, Pei-Wen; Lin, Kuen-Yi – Journal of Computer Assisted Learning, 2019
This study combined 3D printing technology with experiential learning strategies (ELS) to design a hands-on curriculum for preengineering students. The participants learned interdisciplinary knowledge and abstract scientific concepts through the curriculum. The study implemented a quasi-experimental design to examine whether the students who…
Descriptors: Computer Peripherals, Visual Aids, Experiential Learning, Computer Uses in Education
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Erbas, Cagdas; Demirer, Veysel – Journal of Computer Assisted Learning, 2019
This study aimed to investigate the effects of augmented reality (AR) activities on students' academic achievement and motivation in a biology course. For this purpose, a mixed study was conducted, and a pretest and posttest control group model was used. In addition, the opinions of the experimental group students and the teacher about the AR…
Descriptors: Biology, Science Instruction, Teaching Methods, Science Achievement
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Nikou, S. A.; Economides, A. A. – Journal of Computer Assisted Learning, 2018
Mobile-based micro-learning has gained a lot of attention lately, especially for work-based and corporate training. It combines features of mobile learning and micro-learning to deliver small learning units and short-term learning activities. The current study uses the lens of the Self-Determination Theory of motivation and proposes a series of…
Descriptors: High School Students, Learning Motivation, Personal Autonomy, Psychological Needs
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Lin, C.-C.; Guo, K.-H.; Lin, Y.-C. – Journal of Computer Assisted Learning, 2016
This study aims at implementing a simple and effective remedial learning system. Based on fuzzy inference, a remedial learning material selection system is proposed for a digital logic course. Two learning concepts of the course have been used in the proposed system: number systems and combinational logic. We conducted an experiment to validate…
Descriptors: Remedial Instruction, Artificial Intelligence, Intelligent Tutoring Systems, Electronic Learning