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Shixin Fang; Yi Lu; Guijun Zhang – Online Learning, 2023
Building and testing a framework of interactive and indirect predictors of student satisfaction would help us understand how to improve student online learning experience. The current study proposed that external predictors such as poor technological, environmental, and pedagogical factors would be internalized as negative psychological traits and…
Descriptors: Student Satisfaction, Electronic Learning, Educational Technology, Predictor Variables
Qiong Wang; Guoqing Zhao; Jinglan Zeng – Australasian Journal of Educational Technology, 2024
Although studies have highlighted the importance of facilitating conditions in enhancing students' digital informal learning (DIL), the effect mechanism is still unclear. This study examined the mediating role of digital competence and the moderating role of technostress between facilitating conditions and DIL. Data were collected from 385…
Descriptors: Educational Technology, Technology Uses in Education, Technological Literacy, Stress Variables
Hong, Jon-Chao; Cao, Wei; Liu, Xiaohong; Tai, Kai-Hsin; Zhao, Li – Journal of Research on Technology in Education, 2023
Due to COVID-19, the primary teaching method has changed from traditional face-to-face teaching to online teaching. The present study explored the correlates between two personality traits, Neuroticism and Extraversion, and two types of self-efficacy, Internet self-efficacy and academic self-efficacy, on practical performance anxiety. Data from…
Descriptors: Personality Traits, Predictor Variables, Internet, Self Efficacy
Shuxia Yang; Rui Wang; Bing Mei – Interactive Learning Environments, 2024
Given the paucity of research on mobile-assisted language learning (MALL) in secondary schools in China, this retrospective case study explored the psychological processes underlying the non-voluntary MALL experiences of Chinese secondary school students during a lockdown to contain the spread of COVID-19. Drawing on prior technology acceptance…
Descriptors: Foreign Countries, Student Attitudes, Telecommunications, Handheld Devices
Kai Wang; Ching-Sing Chai; Jyh-Chong Liang; Guoyuan Sang – Technology, Pedagogy and Education, 2024
As artificial intelligence (AI) advances rapidly, it has been incorporated into formal education to facilitate subject-based learning. Integration of AI technologies to support learning requires teachers to intentionally design AI-assisted learning. However, there have been a limited number of empirical studies investigating teachers' behavioural…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Uses in Education
Kang Ma; Abubakar Bello; Jingjing Dong; Muhammad Chutiyami – Distance Education, 2024
Blended teaching (BT) in pre-service teacher (PST) education has significantly increased, particularly owing to the impact of COVID-19. However, there is limited literature on how pre-service teachers (PSTs) adjust to this mode of teaching. This study provides new longitudinal evidence on the adaptability of PSTs (n = 1285) and its predictors,…
Descriptors: Preservice Teachers, Blended Learning, Adjustment (to Environment), Predictor Variables
Wan, Liyong; Xie, Shoumei; Shu, Ai – SAGE Open, 2020
This study tries to propose a unified model integrating the unified theory of acceptance and use of technology (UTAUT) model, task-technology fit (TTF) model, and user satisfaction to investigate the determinants that affect university students' continued intention of using massive open online courses (MOOCs). Based on the data of a survey on 464…
Descriptors: Foreign Countries, College Students, Student Attitudes, Large Group Instruction
Zhao, Shu; Kinshuk; Yao, Ying; Ya, Nan – Educational Technology Research and Development, 2021
Mobile social media are increasingly being used in education. They provide an effective way to address the imbalance between teaching supply and demand for older adults. However, few studies have investigated which factors contribute to older adults' intention to use mobile social media for learning. This study uses a sequential explanatory mixed…
Descriptors: Foreign Countries, Social Media, Telecommunications, Handheld Devices
Lei, Jun; Lin, Teng – International Review of Research in Open and Distributed Learning, 2022
This study investigated the effects of interactional, motivational, self-regulatory, and situational factors on university students' online learning outcomes and continuation intentions during the COVID-19 pandemic. Data were collected from 255 students taking a business course at a university in southern China. Hierarchical multiple regression…
Descriptors: COVID-19, Pandemics, School Closing, Online Courses
Huang, Xiangyun – ProQuest LLC, 2018
Social media has been increasingly used in education to facilitate innovative instruction. Mainland Chinese people could not use popular social media platforms such as Facebook™ because the government blocked them. Little research studied social media use by Mainland Chinese students and teachers in the isolated network environment. This…
Descriptors: Social Media, College Faculty, Instructional Innovation, Statistical Analysis
Du, Jianixia; Fan, Xitao; Xu, Jianzhong – Asia-Pacific Education Researcher, 2016
The goal of the present investigation is to examine students' interest in online groupwork and the related factors in the social and cultural context of China. Using data from undergraduates from online study groups, we examined both individual- and group-level predictors for online groupwork interest. The findings indicated that online groupwork…
Descriptors: Group Activities, Online Courses, Educational Technology, Technology Uses in Education
Zhai, Xuesong; Gu, Jibao; Liu, Hefu; Liang, Jyh-Chong; Tsai, Chin-Chung – Educational Technology & Society, 2017
Recent years have witnessed an increasing interest in the flipped classroom model, and many flipped programs have been funded and implemented to explore the effectiveness of this new model. However, previous studies centering on comparative assessment have indicated that it is not always entirely successful in terms of promoting students'…
Descriptors: Blended Learning, Technology Uses in Education, Educational Technology, Homework
Teo, Timothy; Huang, Fang; Hoi, Cathy Ka Weng – Interactive Learning Environments, 2018
Given the paradox between pervasive promotion of technology use in English teaching and lack of studies about teachers' technology acceptance in China, this study aims to examine intentions of English teachers in China to use technology in their classroom teaching. Based on the technology acceptance model, eight variables including perceived…
Descriptors: Foreign Countries, Technology Uses in Education, Intention, English (Second Language)
Du, Jianxia – Educational Psychology, 2016
Management of the study environment is crucial to the learning process, and this management in an online class setting is even more challenging. This study investigates models of environmental structuring in online groupwork in China, as reported by 307 graduate students in 80 groups. At the group level, environment management was positively…
Descriptors: Predictor Variables, Correlation, Feedback (Response), Cooperative Learning
Sang, Guoyuan; Valcke, Martin; van Braak, Johan; Tondeur, Jo; Zhu, Chang – Journal of Computer Assisted Learning, 2011
Available research has explored a wide variety of factors influencing information and communication technologies (ICT) adoption and integration in classroom teaching; however, existing research seldom centre on the combined impact of these variables. In addition, the little research available is set up in the Chinese context. The latter is…
Descriptors: Foreign Countries, Constructivism (Learning), Educational Practices, Educational Technology
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