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Hall, Jacob A.; Lei, Jing; Wang, Qiu – Educational Technology Research and Development, 2020
The flipped approach has been widely adopted in higher education, yet its theoretical framework and use in teacher preparation courses have been limited. To address these gaps, this study examined the impact of the First Principles of Instruction when applied to designing face-to-face and flipped technology integration courses. Participants were…
Descriptors: Educational Principles, Preservice Teachers, Technological Literacy, Pedagogical Content Knowledge
Lai, Chun; Li, Xiaoshi; Wang, Qiu – Educational Technology Research and Development, 2017
Teachers are important social agents who affect students' cognitive and social behaviors, including students' self-directed use of technology for language learning outside the classroom. However, how teachers influence student behaviors may vary across cultures, and understanding how teacher influences vary across different cultures is critical to…
Descriptors: Teacher Influence, Second Language Instruction, Technology Uses in Education, Educational Technology
Lai, Chun; Wang, Qiu; Lei, Jing – Computers & Education, 2012
A sound understanding of technology use from the learners' perspective is crucial. This study intends to contribute to our understanding on student technology use by focusing on identifying the factors that influence students' adoption of technology for learning and the relationships between these factors. Students studying at a Hong Kong…
Descriptors: Undergraduate Students, Foreign Countries, Educational Technology, Teaching Methods
Li, Yi; Wang, Qiu; Campbell, John – Education Sciences, 2015
This study focused on learning equity in colleges and universities where teaching and learning depends heavily on computer technologies. The study used the Structural Equation Modeling (SEM) to investigate gender and racial/ethnic heterogeneity in the use of a computer based course management system (CMS). Two latent variables (CMS usage and…
Descriptors: Gender Differences, Database Management Systems, Structural Equation Models, Predictor Variables