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Ling Wu; Shuxin Wang – Education and Information Technologies, 2025
Contemporary technological advancements offer new possibilities for enhancing user creativity. We aimed to explore how technology can boost student creativity to meet the twenty-first century's demand for innovative talent. Based on the 4P model of creativity (person, process, product, and press) and constructivist theory, a virtual reality (VR)…
Descriptors: Computer Simulation, Brain, Biofeedback, Creativity
Kai-Yi Chin; Huai-Ling Chang; Ching-Sheng Wang – Interactive Learning Environments, 2024
This study developed a wearable mixed reality (MR)-based mobile learning system and applied it to museum learning activities to explore whether the proposed system can effectively improve university students' learning outcomes, situational interest, and cognitive load. Four museums were selected as the informal learning sites, and 64 university…
Descriptors: Biofeedback, Human Body, Handheld Devices, Computer Simulation
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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