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Liu, Xindi; Yu, Zhonggen – International Journal of Adult Education and Technology, 2023
Bilibili, a popular video-sharing and danmaku-themed platform, has played a crucial role in online learning. However, limited research has been conducted to examine the factors that influence its users' continuance intention. Thus, this study proposes an integrated model of technology acceptance model, expectation-confirmation model, and…
Descriptors: Video Technology, Technology Uses in Education, Intention, Electronic Learning
Yu, Zhonggen – Interactive Learning Environments, 2023
With the rapid development of information technologies, virtual reality (VR) has caught much attention in education. However, scanty studies have been committed to a meta-analysis of its effect in education in terms of various components. This study, through a meta-analysis, systematically reviews the effect of VR technologies on educational…
Descriptors: Literature Reviews, Computer Simulation, Educational Technology, Outcomes of Education
Wang, Yong; Yu, Liheng; Yu, Zhonggen – Education and Information Technologies, 2022
Numerous scholars are devoted to investigating the technology acceptance model (TAM) and its extensions, but a comprehensive TAM is still under investigation. This study aims to formulate a relatively comprehensive model by including personal investment and identify factors that influence students' adoption of CCtalk-aided English as a foreign…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Usability
Yu, Zhonggen; Xu, Wei; Sukjairungwattana, Paisan – International Journal of Web-Based Learning and Teaching Technologies, 2022
Superstar Learning System, designed and developed by Superstar Company, is a learning platform where teachers and learners may have access to plentiful educational resources and interact with each other. Behavioral intention related to this platform has not been enough explored although many researchers have examined its use in education. A random…
Descriptors: Student Behavior, Educational Technology, Computer Interfaces, Technology Uses in Education
Yu, Zhonggen; Yu, Liheng – Technology, Knowledge and Learning, 2022
Rain Classroom, as a mobile app designed and developed by Tsinghua University, has been catching increasingly intense attention since her birth in 2016. Her usability has, however, seldom been explored. The purpose of this study is to compare the usability of Rain Classroom assisted learning with other learning approaches. A mixed design was…
Descriptors: College Students, Student Attitudes, Educational Technology, Handheld Devices
Chen, Wentao; Zhang, Jinyu; Yu, Zhonggen – International Journal of Information and Communication Technology Education, 2023
Since Facebook announced itself as Meta, the metaverse has been popular with educationalists. However, scanty studies have bibliographically analyzed the use of the metaverse in education. This study complements the missing link in the literature by bibliometrically analyzing the research into the use of the metaverse in education using both…
Descriptors: Bibliometrics, Technology Uses in Education, Computer Simulation, Educational Research
Deng, Xinjie; Yu, Zhonggen – Education and Information Technologies, 2023
As information technologies develop, social networking services have gradually gained attention from both researchers and practitioners. However, little is known about the technology adoption of social networking from the perspective of hedonic motivation. For this purpose, this study applied the hedonic motivation system adoption model (HMSAM) to…
Descriptors: Foreign Countries, College Students, Student Motivation, Models
Wang, Min; Liu, Fen; Yu, Zhonggen – International Journal of Adult Education and Technology, 2023
In light of the COVID-19 pandemic, the issue of self-paced flipped learning has received considerably critical attention, because the physical face-to-face classroom has become one of the major obstacles during the pandemic. This research aims to figure out the effects of self-paced flipped learning on students' learning efficiency, satisfaction,…
Descriptors: Learner Engagement, Student Satisfaction, Outcomes of Education, Technology Uses in Education
Yu, Zhonggen – Innovations in Education and Teaching International, 2022
With the rapid development of information technologies, video-mediated learning has been widely used in education and studied in academia. Whether and how a teacher should be present in a video has drawn the attention of researchers. Via a mixed design involving two teaching experiments and a semi-structured interview, this study concluded that…
Descriptors: Teacher Student Relationship, Video Technology, Cognitive Processes, Difficulty Level
Yu, Zhonggen; Gao, Mingle – SAGE Open, 2022
Although the flipped pedagogical approach has been exhaustively explored, the effect of video length remains sparsely studied. Through a mixed design, videos, and three ratio scales, this study determined the effect of video length on English proficiency, student engagement, and satisfaction in a flipped English classroom in China. We concluded…
Descriptors: Video Technology, Flipped Classroom, Time, English (Second Language)
Yu, Zhonggen; Yu, Liheng; Xu, Qiaoyun; Xu, Wei; Wu, Ping – Technology, Pedagogy and Education, 2022
Mobile learning technologies and social media tools have not been studied to an exhaustive extent in terms of student engagement and learning outcomes. Using a quasi-experimental research method, the authors randomly selected 101 participants who were divided into three groups. Each group received English teaching assisted by mobile learning…
Descriptors: Electronic Learning, Educational Technology, Social Media, Learner Engagement
Lin, Yupeng; Yu, Zhonggen – International Journal of Educational Technology in Higher Education, 2023
Digital academic reading tools on computers bring multiple benefits to higher-education students. Through structural equation modeling methods, this study contributes to the following findings: (1) Perceived ease of use, perceived usefulness, and lecturers' positive responses significantly predict students' positive attitudes toward digital…
Descriptors: Reading Processes, Usability, Prediction, Student Attitudes