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Sahin Gökçearslan; Hatice Yildiz Durak; Nilüfer Atman Uslu – Interactive Learning Environments, 2024
The acceptance of IoT technologies in education by pre-service teachers will affect their intention to use these technologies in the future. Previous research has addressed the effects of variables on the acceptance of IoT technologies in education to a limited degree. Therefore, this study aims to propose and test a structural model that…
Descriptors: Foreign Countries, Preservice Teachers, Internet, Equipment
Fatih Balaman; Muhammet Bas – Interactive Learning Environments, 2023
This study is aimed to develop a scale that measures university students' perception of using e-learning platforms by using the Technology Acceptance Model (TAM). The sample consisted of 636 university students. The Exploratory Factor Analysis (EFA) results revealed 5-factors on a 6-items scale. The five factors that were revealed on the EFA…
Descriptors: Electronic Learning, Computer Attitudes, College Students, Usability
Tao, Da; Fu, Pei; Wang, Yunhui; Zhang, Tingru; Qu, Xingda – Interactive Learning Environments, 2022
In spite of the proliferation of Massive Open Online Courses (MOOCs) in higher education, factors influencing user acceptance of MOOCs are not well understood. This study is intended to investigate key characteristics of user acceptance from interface design (i.e. usability), content quality (i.e. perceived quality), and emotional arousal (i.e.…
Descriptors: MOOCs, Computer Attitudes, Educational Technology, Technology Uses in Education
Ai-Jou Pan; Yu-Che Huang; Chin-Feng Lai – Interactive Learning Environments, 2024
Engineering education emphasizes experiential learning and laboratory experience, an approach which has faced significant challenges during the COVID-19 pandemic. The inability to conduct hands-on laboratory experiments in engineering courses can significantly impede the student's learning experience, as well as their acquisition and retention of…
Descriptors: Learning Management Systems, Hands on Science, Distance Education, Laboratories
Teo, Timothy – Interactive Learning Environments, 2016
The aim of this study is to examine the factors that influenced the use of Facebook among university students. Using an extended technology acceptance model (TAM) with emotional attachment (EA) as an external variable, a sample of 498 students from a public-funded Thailand university were surveyed on their responses to five variables hypothesized…
Descriptors: Social Media, College Students, Emotional Response, Computer Attitudes
Teo, Timothy; Noyes, Jan – Interactive Learning Environments, 2014
Pre-service teachers' self-reported intentions to use information technology were studied. Two hundred and sixty-four participants completed a survey questionnaire measuring their responses to four constructs (performance expectancy, effort expectancy, social influence and facilitating conditions) derived from the Unified Theory of Acceptance and…
Descriptors: Preservice Teachers, Intention, Computer Uses in Education, Computer Attitudes
Teo, Timothy – Interactive Learning Environments, 2012
This study examined pre-service teachers' self-reported intention to use technology. One hundred fifty-seven participants completed a survey questionnaire measuring their responses to six constructs from a research model that integrated the Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB). Structural equation modeling was…
Descriptors: Foreign Countries, Educational Technology, Structural Equation Models, Computer Uses in Education
Teo, Timothy – Interactive Learning Environments, 2006
Research has found that computer attitudes not only play an influential role in determining the extent to which students accept the computer as a learning tool but also future behaviours towards the computer such as using it for further study and vocational purposes. A sample of 183 post-secondary students was assessed for their computer attitudes…
Descriptors: Foreign Countries, Postsecondary Education, Computer Attitudes, Gender Differences