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Joshua Weidlich; Ben Hicks; Hendrik Drachsler – Educational Technology Research and Development, 2024
Researchers tasked with understanding the effects of educational technology innovations face the challenge of providing evidence of causality. Given the complexities of studying learning in authentic contexts interwoven with technological affordances, conducting tightly-controlled randomized experiments is not always feasible nor desirable. Today,…
Descriptors: Educational Research, Educational Technology, Research Design, Structural Equation Models
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Pérez, Andrea; Collado, Jesús; del Mar García de los Salmones, María; Herrero, Ángel; San Martín, Héctor – Journal of the Scholarship of Teaching and Learning, 2019
This paper explores a causal model, using Structural Equation Modelling (SEM), in order to understand how the perceived effectiveness of the 'flipped classroom' and students' satisfaction with this technique can be affected by students' engagement in the 'flipped classroom' activities as well as the complexity and task orientation of such…
Descriptors: Instructional Effectiveness, Business Communication, Causal Models, Student Satisfaction
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Badri, Masood; Al Rashedi, Asma; Yang, Guang; Mohaidat, Jihad; Al Hammadi, Arif – Education and Information Technologies, 2016
Offering an online integrated high-school course or subject for the first time involves many challenges. Better understanding the factors that affect students' willingness to participate in the experience could provide support for better implementation of such a strategic initiative. In addition, it is important to understand how personal factors…
Descriptors: Intention, Electronic Learning, Structural Equation Models, High School Students
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Zeyer, Albert; Çetin-Dindar, Ayla; Md Zain, Ahmad Nurulazam; Juriševic, Mojca; Devetak, Iztok; Odermatt, Freia – Journal of Research in Science Teaching, 2013
The present study is based on the empathizing-systemizing (E-S) theory of cognitive science. It was hypothesized that the influence of students' gender on their motivation to learn science is often overestimated in the research literature and that cognitive style is more important for motivation than students' gender. By using structural equation…
Descriptors: Hypothesis Testing, Gender Differences, Student Motivation, Learning Motivation
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Singaram, Veena S.; van der Vleuten, Cees P. M; Muijtjens, Arno M. M.; Dolmans, Diana H. J. M – Interdisciplinary Journal of Problem-based Learning, 2012
Little is known about the influence of language background in problem-based learning (PBL) tutorial groups on group processes and students' academic achievement. This study investigated the relationship between language background, secondary school score, tutorial group processes, and students' academic achievement in PBL. A validated tutorial…
Descriptors: Correlation, Native Language, Problem Based Learning, Academic Achievement
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Chatzoglou, Prodromos D.; Sarigiannidis, Lazaros; Vraimaki, Eftichia; Diamantidis, Anastasios – Computers & Education, 2009
In the last few decades, the implementation of information technology has given rise to several organizational training needs that have to be satisfied, in order to empower organizational IT performance. The users of new technologies have to be trained quickly and efficiently, and since they are usually distributed to different remote locations,…
Descriptors: Educational Needs, Employees, Structural Equation Models, Self Efficacy