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Sarika Sharma; Jatinderkumar R. Saini – Interactive Learning Environments, 2024
During the COVID-19 pandemic period of almost two years, online teaching was adopted by Higher Educational Institutes (HEIs) mostly as an emergency measure to maintain endurance in teaching-learning activities in academics. Although a lot of research works have focussed on the teaching-learning strategies deployed during the pandemic period, the…
Descriptors: Online Courses, Electronic Learning, Cognitive Ability, Cognitive Style
Emin Ibili; Melek Ölmez; Abdullah Cihan; Firat Bilal; Aysel Burcu Ibili; Nurullah Okumus; Mark Billinghurst – Interactive Learning Environments, 2024
The aim of this study is to investigate the determinants that affect undergraduate students' behavioral intentions to continue learning computer hardware concepts utilizing a Metaverse-based system. The current study examined the factors influencing students' adoption of Metaverse technology at the tertiary level using a model based on the…
Descriptors: Student Behavior, Intention, Computer Simulation, Undergraduate Students
Zhang, Hai; Yu, Luyao; Cui, Yulu; Ji, Mengxue; Wang, Yining – Interactive Learning Environments, 2022
The study of teacher development and teaching interaction in physical classrooms has presented research problems, but with the development of classroom observation and video analysis, quantitative and visual analysis of the teaching process has been realized. In order to better understand the teaching models of teachers, this study is devoted to…
Descriptors: Classroom Observation Techniques, Teacher Evaluation, Teaching Methods, Teaching Models
Huang, Fang; Teo, Timothy; He, Jinbo – Interactive Learning Environments, 2021
This study examined the digital nativity of university teachers in China and tested the factor structure and measurement invariance from exploratory structural equation modelling analyses of the Digital Native Assessment Scale (DNAS) developed by Teo [(2013). An initial development and validation of a digital natives assessment scale (DNAS).…
Descriptors: Foreign Countries, College Faculty, Technological Literacy, Teacher Characteristics
Shenglin Cao; Juan Chu; ZuoChen Zhang; Liyan Liu – Interactive Learning Environments, 2024
VR technology is being widely used in education due to it's a sense of immersion, real-time interaction, and ability to stimulate imagination. However, there is a lack of research comparing students at different stages. This study used a quasi-experimental design involving 73 fourth-grade and 86 eighth-grade students in two schools in northwest…
Descriptors: Computer Simulation, Technology Uses in Education, Instructional Effectiveness, Elementary School Students
Alemayehu, Lekissa; Chen, Hsiu-Ling – Interactive Learning Environments, 2023
The present study reviewed papers published in the Web of Science database from 2014 to 2020 in SSCI indexed journals on learner- and instructor-related challenges for learners' engagement in MOOCs based on the Technology-Based Learning Model. The focus is on research design, instructor-related factors that foster and frustrate learner engagement,…
Descriptors: Barriers, MOOCs, Educational Technology, Affordances
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
Davy Tsz Kit Ng; Jiahong Su; Jac Ka Lok Leung; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Secondary School Students
Yildiz Durak, Hatice – Interactive Learning Environments, 2021
The present study aims to determine the relation between Technological Pedagogical Content Knowledge (TPACK) levels of teachers and their self-efficacy in integrating technology, their technology literacy and their usage objective of social networks. Structural equation modeling was utilized to create a model explaining and predicting the…
Descriptors: Correlation, Social Networks, Pedagogical Content Knowledge, Technological Literacy
Songkram, Noawanit; Chootongchai, Suparoek; Khlaisang, Jintavee; Koraneekij, Prakob – Interactive Learning Environments, 2021
This paper proposes an education 3.0 system called Mutual Learning Community (MLCOM) by combining the subsystems of the Virtual based Learning Classroom (VLC), Mobile based Learning Classroom (MLC), and Flipped Learning Classroom (FLC). In terms of originality, the findings lead to the key elements of the system architecture to develop MLCOM,…
Descriptors: Educational Technology, Technology Uses in Education, Foreign Countries, Telecommunications
Teo, Timothy; Sang, Guoyuan; Mei, Bing; Hoi, Cathy Ka Weng – Interactive Learning Environments, 2019
In recent years, there has been an exponential growth of the explorations around the pedagogical use of Web 2.0 technologies in China. This study offers an alternate perspective by examining predictors of pre-service teachers' uptake of Web 2.0 technologies for teaching purposes. On the basis of prior related research focusing on the pedagogical…
Descriptors: Foreign Countries, Web 2.0 Technologies, Educational Technology, Technology Uses in Education
Calvo-Ferrer, José Ramón – Interactive Learning Environments, 2020
Although the "digital natives" theory is still used to justify the implementation of technologies such as video games in the language classroom, whether digital nativeness (i.e. the extent to which an individual embodies the characteristics attributed to digital natives) may be used as a predictor of digital game-based learning outcomes…
Descriptors: Computer Games, Video Games, Second Language Instruction, Second Language Learning
Jeong, Hye In; Kim, Yeolib – Interactive Learning Environments, 2017
This study investigated kindergarten teachers' decision-making process regarding the acceptance of computer technology. We incorporated the Technology Acceptance Model framework, in addition to computer self-efficacy, subjective norm, and personal innovativeness in education technology as external variables. The data were obtained from 160…
Descriptors: Teacher Attitudes, Technological Literacy, Self Efficacy, Guidelines
Teo, Timothy; Milutinovic, Verica; Zhou, Mingming; Bankovic, Dragic – Interactive Learning Environments, 2017
This study examined pre-service teachers' intentions to use computers in traditional and innovative teaching practices in primary mathematics classrooms. It extended the technology acceptance model (TAM) by adding as external variables pre-service teachers' experience with computers and their technological pedagogical content knowledge (TPCK).…
Descriptors: Foreign Countries, Mathematics Education, Preservice Teacher Education, Preservice Teachers
Wu, Pai-Hsing; Wu, Hsin-Kai; Kuo, Che-Yu; Hsu, Ying-Shao – Interactive Learning Environments, 2015
Computer-based learning tools include design features to enhance learning but learners may not always perceive the existence of these features and use them in desirable ways. There might be a gap between what the tool features are designed to offer (intended affordance) and what they are actually used (actual affordance). This study thus aims at…
Descriptors: Science Instruction, Computer Uses in Education, Educational Technology, High School Students