T
Timothy Teo
Researcher at Murdoch University
Publications - 235
Citations - 11110
Timothy Teo is an academic researcher from Murdoch University. The author has contributed to research in topics: Technology acceptance model & Structural equation modeling. The author has an hindex of 48, co-authored 224 publications receiving 8681 citations. Previous affiliations of Timothy Teo include University of Western Australia & Nanyang Technological University.
Papers
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A Measurement Invariance Analysis of the General Self-Efficacy Scale on Two Different Cultures
TL;DR: This article assessed the measurement invariance of the 10-item General Self-Efficacy Scale (GSES) across two countries with distinctly different cultures and found that although there was full metric invariance in the two samples, only partial scalar invariance was achieved as the intercepts of 4 out of 10 items were non-invariant.
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Classroom quality and Chinese preschool children's approaches to learning
TL;DR: In this paper, a large and representative sample of 1882 children from 60 preschools in China was examined how classroom quality was associated with preschool children's approaches to learning, and they highlighted the importance of enhancing classroom quality to foster children's positive learning behavior in preschool classrooms.
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A structural equation modelling of factors influencing student teachers' satisfaction with e-learning
TL;DR: Satisfaction is found to have a positive influence on motivation and is often used as a dependent variable in e‐learning research and when students derived satisfaction from e‐ learning, they become highly motivated, leading to a more intensive engagement with the course materials.
Journal Article
Technology Acceptance of Pre-Service Teachers in Turkey: A Cross-Cultural Model Validation Study
Timothy Teo,Ömer Faruk Ursavaş +1 more
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Digital nativity of university teachers in China: factor structure and measurement invariance of the Digital Native Assessment Scale (DNAS)
Fang Huang,Timothy Teo,Jinbo He +2 more
TL;DR: The results indicate that Chinese university teachers demonstrate “digital native” characteristics and support the measurement invariance of the DNAS across age, teaching experience, years of technology use, and years of teaching with technology.