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Anamica Maan; Kapil Malhotra – Journal of Learning for Development, 2024
This paper reports the findings of a bibliometric analysis using VOSviewer on 392 Scopus database documents published from 2003 to 2022, aiming to understand the global landscape of the e-learning field and to identify the most prominent authors, institutions, countries and reference publications, as well as the research topics that have recently…
Descriptors: Readiness, Electronic Learning, Higher Education, Educational Research
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Phan, Nga Thi Tuyet – Knowledge Management & E-Learning, 2023
Most previous studies have focused on learners' self-efficacy in face-to-face learning environments, while few have delved into that of MOOC learners. No research has touched upon the MOOC self-efficacy of engineering students in developed and developing countries. This research compared the self-efficacy levels of engineering students in Taiwan…
Descriptors: Self Efficacy, MOOCs, Comparative Analysis, Foreign Countries
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Alemayehu, Lekissa; Chen, Hsiu-Ling – Interactive Learning Environments, 2023
This study aimed to investigate the influence of higher education students' motivation, learning self-efficacy, and self-monitoring on learning engagement in online learning environments. Inviting participants from Taiwan's higher education institutions, a total of 354 students (144 male and 210 female) from different years and fields completed an…
Descriptors: Learner Engagement, Electronic Learning, Foreign Countries, Student Motivation
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Chih-Hung Wu; Kai-Di Tang; Kang-Lin Peng; Yueh-Min Huang; Chih-Hsing Liu – Educational Psychology, 2024
Cognitive styles and affective factors are critical factors affecting e-learning performance in this digital era. Learners can enhance their affective learning with a correct cognitive style. This study aims to examine various cognitive styles with effective learning measurement tools through subjective and objective instruments by observing…
Descriptors: Electronic Learning, Cognitive Style, Cognitive Processes, Difficulty Level
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Hu, Yung-Hsiang – Education and Information Technologies, 2022
Prior to the coronavirus disease 2019 (COVID-19) pandemic, due to the rarity of pandemics in recent centuries, suitable conditions did not exist in educational institutions for the implementation of asynchronous distance teaching. No empirical studies have been conducted on whether the considerable environmental changes caused by COVID-19 have…
Descriptors: COVID-19, Pandemics, Electronic Learning, Student Behavior
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Yu-Yin Wang; Yu-Wei Chuang – Interactive Learning Environments, 2024
A review of the literature shows that much academic effort has been expended studying information system usage and information technology adoption. However, these theories/models based on psychological research are not specific to the virtual reality context and may not fully capture the nature of virtual reality-based learning system (VR-BLS)…
Descriptors: Computer Simulation, Electronic Learning, Technology Uses in Education, Learning Management Systems
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Liu, Chih-Chi; Wang, Ya-Ling – Educational Gerontology, 2023
Research has begun to pay more attention to intergenerational learning and its advantages, while what is the flow state of students of different generations when they participate in intergenerational learning? This study simultaneously measured the flow state of 16 college students (M = 23.13, SD = 1.82, ranging from 21 to 27 years old; 23.08%…
Descriptors: In Person Learning, Electronic Learning, Models, Age Groups
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Yun-Fang Tu; Gwo-Jen Hwang – Interactive Learning Environments, 2024
The present study employed the draw-a-picture technique and epistemic network analysis (ENA) to reveal university students' viewpoints on ChatGPT-supported learning, as well as the conceptions, roles, and educational objectives of ChatGPT-supported learning among university students with different learning attitudes. The results showed that…
Descriptors: College Students, Student Attitudes, Knowledge Level, Artificial Intelligence
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Yeh, Hui-Chin; Tseng, Sheng-Shiang; Heng, Leechin – Interactive Learning Environments, 2022
Intracultural learning has been neglected in English curricula in Taiwan since textbooks as an important learning resource have been mainly focused on English linguistic content and developing students' language skills and and target culture to develop students' language skill. This study investigated how making VR content helped students enhance…
Descriptors: English (Second Language), Second Language Learning, Multicultural Education, Computer Simulation
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Lin, Pei-Yi; Hong, Huang-Yao; Chai, Ching Sing – Educational Technology Research and Development, 2020
Knowledge building is an innovative pedagogy aiming to transform students into expert-like knowledge workers. The purpose of this study was to foster teacher-education students' design performance (i.e., observation, synthesis, ideation and prototypes) in a knowledge-building environment. The participants were 38 college students from a Taiwanese…
Descriptors: College Students, Design, Thinking Skills, Foreign Countries
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Chih-Hsing Liu; Jeou-Shyan Horng; Sheng-Fang Chou; Tai-Yi Yu; Yung-Chuan Huang; Yen-Ling Ng; Jun-You Lin – Interactive Learning Environments, 2024
The current study provides an integrated comprehensive analysis of mediation-moderation models to understand 567 tourism and hospitality students' viewpoints by exploring multidisciplinary contributions relevant to the big data and new technology application bodies of literature. The results show that self-efficacy was the primary motivation…
Descriptors: Foreign Countries, College Students, Tourism, Hospitality Occupations
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Lan, En-Minh – Education and Information Technologies, 2022
English pronunciation training for real-world communication tasks is crucial in EFL learning because it is essential to learners' listening comprehension and speaking competence. As the e-generation emerges, computer-assisted pronunciation training (CAPT) has begun to receive more recognition in academic institutions for pronunciation learning.…
Descriptors: Foreign Countries, College Students, Computer Assisted Instruction, Pronunciation Instruction
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Jian-Wei Tzeng; Nen-Fu Huang; Yi-Hsien Chen; Ting-Wei Huang; Yu-Sheng Su – Educational Technology & Society, 2024
Massive open online courses (MOOCs; online courses delivered over the Internet) enable distance learning without time and place constraints. MOOCs are popular; however, active participation level among students who take MOOCs is generally lower than that among students who take in-person courses. Students who take MOOCs often lack guidance, and…
Descriptors: MOOCs, Artificial Intelligence, Electronic Learning, Student Participation
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Chang, Ching-Yi; Kuo, Shu-Yu; Hwang, Gwo-Haur – Educational Technology & Society, 2022
Conventional nursing courses have solely adopted lecture-based instruction for knowledge delivery, which tends to lack interaction, rehearsal, and personalized feedback. The development of chatbot technologies and their broad application have provided an opportunity to solve the abovementioned problems. Some knowledge-based chatbot systems have…
Descriptors: Computer Mediated Communication, Artificial Intelligence, Computer Assisted Instruction, Nursing Education
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Liu, Yiming; Sun, Jerry Chih-Yuan; Chen, Ssu-Kuang – Interactive Learning Environments, 2023
This study integrated augmented reality (AR) and three-dimensional (3D) maps into mobile learning for library use instruction. To maximize the benefits of mobile library applications (MLAs), their technology acceptance was examined. Because of the e-learning context, the General Extended Technology Acceptance Model for E-Learning (GETAMEL)…
Descriptors: Computer Simulation, Maps, Telecommunications, Handheld Devices
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