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Gregg Sparkman; Leor M. Hackel; Jennifer Randall Crosby; James J. Gross; Bridgette Martin Hard – Teaching of Psychology, 2025
Background: The Trickle-Down Engagement Model posits that instructor engagement promotes student engagement which, in turn, has positive implications for student learning. Objective: Our goal was to provide evidence-based practical recommendations for instructors to communicate their engagement with course material to students, activating the…
Descriptors: Psychology, Introductory Courses, Learner Engagement, Climate
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Pramana, Edwin – Journal of Information Technology Education: Research, 2018
Aim/Purpose: This study investigates the factors that influence university students' intentions to adopt mobile learning for their learning activities. A theoretical model is developed based on prior research incorporating constructs from the Unified Theory of Acceptance and Use of Technology (UTAUT), the Technology Acceptance Model (TAM), and…
Descriptors: Adoption (Ideas), Electronic Learning, College Students, Foreign Countries
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Moreno, Valter; Cavazotte, Flavia; Alves, Isabela – British Journal of Educational Technology, 2017
Students' success in e-learning programs depends on how they adopt and embed technology into their learning activities. Drawing on the Technology Acceptance Model, we propose a framework to explain students' intention to use e-learning platforms effectively, that is, their intention to fully exploit system's functionalities in leaning processes,…
Descriptors: College Students, Electronic Learning, Intention, Student Attitudes
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Liaw, Shu-Sheng; Chen, Gwo-Dong; Huang, Hsiu-Mei – Computers & Education, 2008
The Web-based technology is a potential tool for supported collaborative learning that may enrich learning performance, such as individual knowledge construction or group knowledge sharing. Thus, understanding Web-based collaborative learning for knowledge management is a critical issue. The present study is to investigate learners' attitudes…
Descriptors: Learning Activities, Intention, Cooperative Learning, Factor Analysis