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Olliges, Ralph – InSight: A Journal of Scholarly Teaching, 2017
This article examines Active Engagement, Active Communication, and Peer Engagement learning practices among various student groups. It examines which tools are most important for increasing student satisfaction with web-based and web-enhanced instruction. Second, it looks at how different tools lead to greater satisfaction among different types of…
Descriptors: Student Satisfaction, Web Based Instruction, Cognitive Style, Measures (Individuals)
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Koksal, Mustafa Serdar; Yaman, Suleyman; Saka, Yavuz – Australian Journal of Teacher Education, 2016
Purpose of this study was to determine and analyze Turkish pre-service science teachers' perceptions on technology in terms of learning style, computer competency level, possession of a computer, and gender. The study involved 264 Turkish pre-service science teachers. Analyses were conducted through four-way ANOVA, t-tests, Mann Whitney U test and…
Descriptors: Preservice Teachers, Student Attitudes, Educational Technology, Foreign Countries
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Kablan, Zeynel; Kaya, Sibel – Australian Journal of Teacher Education, 2014
This study examined the relationship between pre-service teachers' constructivist teaching and their learning styles based on Kolb's Experiential Learning Theory. The Learning Styles Inventory-3 was administered at the beginning of the semester to determine preferred learning style. The Constructivist Teaching Evaluation Form was filled out by…
Descriptors: Preservice Teachers, Constructivism (Learning), Statistical Analysis, Correlation
Price, Gary E.; And Others – 1977
This paper summarizes the research on learning style based on responses to the Learning Style Inventory by 1,836 students in grades 1 through 12. Reliability analyses are included for each sub-scale for males and females based on factors determined by factor and content analysis. The intercorrelations are included for males and females within…
Descriptors: Cognitive Style, Elementary School Students, Elementary Secondary Education, Factor Analysis