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Lin, Chieh-Peng; Chiang, Pin-Hsuan – Vocations and Learning, 2023
Drawing upon the social network theory and social cognitive theory, this research proposes a model that assesses team performance from the mediating aspect of knowledge application, which represents a team's learning process whereby an effective retrieval mechanism enables the team to access knowledge. In the model, team performance relates to…
Descriptors: Social Networks, Social Cognition, Models, Learning Processes
Yang, Tzu-Chi; Chen, Sherry Y. – Interactive Learning Environments, 2023
Individual differences exist among learners. Among various individual differences, cognitive styles can strongly predict learners' learning behavior. Therefore, cognitive styles are essential for the design of online learning. There are a variety of cognitive style dimensions and overlaps exist among these dimensions. In particular, Witkin's field…
Descriptors: Student Behavior, Educational Technology, Electronic Learning, Cognitive Style
Huang, Tien-Chi; Chen, Mu-Yen; Hsu, Wen-Pao – Educational Technology & Society, 2019
Augmented reality (AR) technology has recently been applied to outdoor learning in an attempt to overcome the drawbacks associated with traditional teaching environments. This study conducted an experiment designed to examine how augmented reality (AR) technology in mobile devices can be used to generate virtual objects to create a context-aware,…
Descriptors: Simulated Environment, Computer Simulation, Educational Technology, Technology Uses in Education
Shiue, Ya-Ming; Hsu, Yu-Chiung; Sheng, Meng-Huei; Lan, Cheng-Hsuan – Online Submission, 2019
In recent years, the innovative applications of integrated augmented reality (AR) into educational settings had increased rapidly in Taiwan. AR provides the scene of the real world while interacting with the virtual and physical objects and increases students' learning motivation. This paper presents an empirical study that investigated the…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Health Education
Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
Chen, Mei-Rong Alice; Hwang, Gwo-Jen – Interactive Learning Environments, 2022
English speaking is a challenging learning objective for EFL (English as Foreign Language) learners owing to the lack of practicing environments. In this study, Interactive Spherical Video-based Virtual Reality (ISVVR) was adopted as the learning mode to provide realistic sociocultural contexts for English speaking. In addition, an experiment was…
Descriptors: English (Second Language), Educational Technology, Computer Simulation, Program Effectiveness
Chen, Chia-Chen; Huang, Po-Hao – Interactive Learning Environments, 2023
In order to explore whether STEAM education in combination with elementary school curriculums can help students' learning performance, this study developed a digital learning system. This digital learning system combined STEAM concepts with elements of gamebased learning. This study developed the curriculum content based on the unit of…
Descriptors: Art Education, STEM Education, Electronic Learning, Handheld Devices
Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
Cheng-Yueh Jao; Ching-Huei Chen; Hui-Chin Yeh – Interactive Learning Environments, 2024
As intercultural learning has been increasingly regarded as essential in higher education, researchers have promoted it through integration of digital storytelling into cultural exchange activities. However, most studies have focused on the utilization of only one language whereas the effects of multilingual digital storytelling on students'…
Descriptors: Story Telling, Cross Cultural Training, Digital Literacy, Mass Media Use
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
Liu, Ming-Chi; Huang, Yueh-Min; Chien, Yu-Cheng – Journal of Educational Computing Research, 2019
The recording of words in a vocabulary notebook is regarded as a plausible and efficient method for learners, since they can organize and manage the individual words they wish to acquire. The wide appeal of portable computers has resulted in a rapid increase in taking notes via computers across college campuses. Although computers can increase…
Descriptors: Vocabulary Development, Teaching Methods, Notetaking, Computer Uses in Education
Li, Wei; Chiu, Chuang-Kai; Tseng, Judy C. R. – Educational Technology & Society, 2019
In context-aware ubiquitous learning, the learning resources of the learning environment are limited, and the learners need to frequently move between learning targets. Therefore, how to provide appropriate learning paths for students in the real world is essential in context-aware ubiquitous learning. In this study, a personalized navigation…
Descriptors: Cognitive Style, Navigation, Electronic Learning, Educational Technology
Chen, Sherry Y.; Huang, Pei-Ren; Shih, Yu-Cheng; Chang, Li-Ping – Interactive Learning Environments, 2016
In the past decade, a number of personalized learning systems have been developed and they mainly focus on learners' prior knowledge. On the other hand, previous research suggested that gender differences and cognitive styles have great effects on student learning. To this end, this study examines how human factors, especially gender differences…
Descriptors: Prior Learning, Student Characteristics, Gender Differences, Cognitive Style
Chen, Chih-Ming; Tan, Chia-Chen; Lo, Bey-Jane – Interactive Learning Environments, 2016
Oral reading fluency is an indicator of overall reading competence. Many studies have claimed that repeated reading can promote oral reading fluency. Currently, novel Web- or computer-based reading technologies offer interactive digital materials that promote English oral reading fluency using the repeated reading strategy; however, paper-based…
Descriptors: English Language Learners, Oral Reading, Reading Fluency, Educational Technology
Huang, Yong-Ming – Australasian Journal of Educational Technology, 2015
The use of collaborative technologies in learning has received considerable attention in recent years, but few studies to date have examined the factors that affect sequential and global learners' intention to use such technologies. Previous studies have shown that the learners of different learning styles have different needs for educational…
Descriptors: Technology Uses in Education, Intention, Performance Factors, Sequential Learning