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Showing 1 to 15 of 31 results Save | Export
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Timothy Teo; Fang Huang; Jinbo He – Interactive Learning Environments, 2024
Given the lack of cultural consideration of studies on digital natives, this study reports on a large-scale validation of the Digital Native Assessment Scale (DNAS) among university students from three regions of Greater China: Chinese mainland, Macau, and Taiwan, to examine measurement invariance and latent mean differences in the four constructs…
Descriptors: Foreign Countries, Digital Literacy, Structural Equation Models, College Students
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A. Devisakti; T. Ramayah – Interactive Learning Environments, 2023
E-learning has the potential to attract learners into the learning environment with its abundance benefits. However, learners tend to discontinue the use of e-learning as they lose intention if they are not satisfied. In regard to this, this study explored the sense of belonging and grit in the e-learning portal environment. A total of 441…
Descriptors: Sense of Community, Academic Persistence, Electronic Learning, Learning Management Systems
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Khlaisang, Jintavee; Teo, Timothy; Huang, Fang – Interactive Learning Environments, 2021
This study investigated factors that influenced university students' intentions to use smart applications in flipped learning (FL) in Thailand flipped classrooms (FC) by extending the technology acceptance model (TAM) as the research model. Eight variables including relative advantage (ADV), peer influence (PI), school support (SS), reputation…
Descriptors: Flipped Classroom, Foreign Countries, College Students, Technology Uses in Education
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Wu, Shu-Jing; Han, Jiao; Sun, Fu-Rong; Wan, Rong-Gen; Zhao, Yu-Quan – Interactive Learning Environments, 2023
While flipped learning has attempted to explain the benefits of technology applied to educational settings, this study aims to validate research questions and test the theory of the learning strategies in flipped learning. A self-designed questionnaire, consisting of 17 critical indicators of online self-regulation, project-based learning and…
Descriptors: College Students, Learner Engagement, Competence, Flipped Classroom
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Silvia Wen-Yu Lee; Jyh-Chong Liang; Chung-Yuan Hsu; Meng-Jung Tsai – Interactive Learning Environments, 2024
While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs…
Descriptors: Student Attitudes, Beliefs, Computer Science Education, Programming
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Alshurideh, Muhammad; Al Kurdi, Barween; Salloum, Said A.; Arpaci, Ibrahim; Al-Emran, Mostafa – Interactive Learning Environments, 2023
Despite the plethora of m-learning acceptance studies, few have tackled the importance of examining the actual use of m-learning systems from the lenses of social influence, expectation-confirmation, and satisfaction. Additionally, most of the prior technology adoption literature tends to use the structural equation modeling (SEM) technique in…
Descriptors: Electronic Learning, Prediction, Least Squares Statistics, Structural Equation Models
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Yang, Jinzhong; Wang, Qiyun; Wang, Jingying; Huang, Muxiong; Ma, Yongjun – Interactive Learning Environments, 2021
E-Schoolbag is an integrated platform presented on the portable digital devices for educational purposes. Successful and sustainable integration of e-Schoolbag into the classroom often demands teachers to be equipped with essential knowledge, skills, and willingness to employ it on a voluntary basis. The purpose of this study was to examine if…
Descriptors: Elementary School Teachers, Secondary School Teachers, Pedagogical Content Knowledge, Technological Literacy
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Sen, Senol – Interactive Learning Environments, 2022
This study aims to analyse the correlations between chemistry teachers' sense of efficacy and their technological pedagogical content knowledge in context (TPCKCx). For this purpose, 201 chemistry teachers were included in the study on the basis of volunteering. A total of 121 of the participants were female chemistry teachers and 80 of them were…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Science Teachers, Chemistry
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Lee, Chwee Beng – Interactive Learning Environments, 2018
With the rapid developments in emerging technologies and the emphasis on technologies in learning environments, the connection between technologies and meaningful learning has strengthened. Developing an understanding of the components of meaningful learning with technology is pivotal, as this may enable educators to make more informed decisions…
Descriptors: High School Students, Measures (Individuals), Test Construction, Technology Uses in Education
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Baydas, Ozlem; Goktas, Yuksel – Interactive Learning Environments, 2017
This study proposes a model for determining preservice teachers' intentions to use information and communication technology (ICT) in future lessons. Data were collected from 21 preservice teachers via interview in the first stage of the study and from 2904 preservice teachers from 16 different universities via a designed scale in the second stage…
Descriptors: Models, Preservice Teachers, Intention, Information Technology
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Teo, Timothy; Doleck, Tenzin; Bazelais, Paul – Interactive Learning Environments, 2018
Considering the increasingly ubiquitous and frequent use of Facebook among college students, this study sought to explicate and unravel the salient determinants of Facebook use. Specifically, the main goal was to ascertain the factors influencing "Collège d'enseignement général et professionnel" (CEGEP) students' Facebook use, for which…
Descriptors: Foreign Countries, Attachment Behavior, College Students, Structural Equation Models
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Pribeanu, Costin; Balog, Alexandru; Iordache, Dragos Daniel – Interactive Learning Environments, 2017
Augmented reality (AR) technologies could enhance learning in several ways. The quality of an AR-based educational platform is a combination of key features that manifests in usability, usefulness, and enjoyment for the learner. In this paper, we present a multidimensional model to measure the quality of an AR-based application as perceived by…
Descriptors: Computer Simulation, Educational Technology, Measurement, Educational Quality
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Zhang, Min; Liu, Yupei; Yan, Weiwei; Zhang, Yan – Interactive Learning Environments, 2017
Users' continuance intention plays a significant role in the process of information system (IS) service, especially virtual learning community (VLC) services. Following the IS success model and IS post-acceptance model, this study explores the determinants of users' intention to continue using VLCs' service from the perspective of quality,…
Descriptors: Virtual Classrooms, Intention, College Students, Student Surveys
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Du, Jianxia; Wang, Chuang; Zhou, Mingming; Xu, Jianzhong; Fan, Xitao; Lei, Saosan – Interactive Learning Environments, 2018
The present investigation examines the multidimensional relationships among several critical components in online collaborative learning, including group trust, communication media, and interactivity. Four hundred eleven university students from 103 groups in the United States responded survey items on online collaboration, interactivity,…
Descriptors: College Students, Cooperative Learning, Trust (Psychology), Electronic Learning
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Teo, Timothy; Zhou, Mingming – Interactive Learning Environments, 2017
Prior research has attempted to incorporate different personal variables within extant theories of technology acceptance models (TAMs). This study further extends TAM by incorporating teachers' conceptions of teaching and learning (CoTL) in two forms: constructivist and traditional conceptions. The moderating effects of teachers' demographic…
Descriptors: Teacher Attitudes, Computer Attitudes, Instruction, Learning
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