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Wang, Jen-Hang; Chang, Li-Ping; Chen, Sherry Y. – Journal of Educational Computing Research, 2018
Mobile devices (MDs) change the way of teaching and learning. However, not every student can appreciate the value of MDs. Thus, it is necessary to consider individual differences. Among various individual differences, cognitive styles particularly affect student learning because they refer to individuals' information processing habits. In this…
Descriptors: Cognitive Style, Web Based Instruction, Handheld Devices, Computers
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Hsieh, Chen-Wei; Chen, Sherry Y. – International Review of Research in Open and Distributed Learning, 2016
Handheld devices are widely applied to support open and distributed learning, where students are diverse. On the other hand, customization and personalization can be applied to accommodate students' diversities. However, paucity of research compares the effects of customization and personalization in the context of handheld devices. To this end, a…
Descriptors: Handheld Devices, Technology Uses in Education, Educational Technology, Cognitive Style
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Hsiao, Hsien-Sheng; Chen, Jyun-Chen; Hong, Jon-Chao; Chen, Po-Hsi; Lu, Chow-Chin; Chen, Sherry Y. – EURASIA Journal of Mathematics, Science & Technology Education, 2017
A five-stage prediction-observation-explanation inquiry-based learning (FPOEIL) model was developed to improve students' scientific learning performance. In order to intensify the science learning effect, the repertory grid technology-assisted learning (RGTL) approach and the collaborative learning (CL) approach were utilized. A quasi-experimental…
Descriptors: Active Learning, Inquiry, Science Instruction, Models
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Chen, Sherry Y.; Chang, Li-Ping – Innovations in Education and Teaching International, 2016
Both individual learning (IL) and collaborative learning (CL) provide students with different benefits. However, previous research indicates that cognitive styles affect students' learning preferences. Thus, it is necessary to examine how cognitive styles influence students' reactions to IL and CL. Among various cognitive styles, Pask's…
Descriptors: Cooperative Learning, Cognitive Style, Independent Study, Questionnaires
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Yang, Tzu Chi; Chen, Sherry Y.; Chen, Meng Chang – IEEE Transactions on Learning Technologies, 2016
Online tests have been identified as a core learning activity in higher education. Unlike conventional online tests, which cannot completely reflect students' learning status, two-tier tests not only consider students' answers, but also take into account reasons for their answers. Due to such significance, research into the two-tier tests had…
Descriptors: Higher Education, Calculus, Mathematics Instruction, Mathematics Tests
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Liou, Hsin-Hun; Yang, Stephen J. H.; Chen, Sherry Y.; Tarng, Wernhuar – Educational Technology & Society, 2017
Virtual reality (VR) learning environments can provide students with concepts of the simulated phenomena, but users are not allowed to interact with real elements. Conversely, augmented reality (AR) learning environments blend real-world environments so AR could enhance the effects of computer simulation and promote students' realistic experience.…
Descriptors: Educational Technology, Technology Uses in Education, Simulated Environment, Teaching Methods
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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