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Al-Adwan, Ahmad Samed; Yaseen, Husam; Alsoud, Anas; Abousweilem, Fayrouz; Al-Rahmi, Waleed Mugahed – Education and Information Technologies, 2022
The key objective of this study was to reveal the key factors that impact university students' continued usage intentions with respect to Learning Management Systems (LMSs). Given the context-dependent nature of e-learning, the Unified Theory of Acceptance and Use of Technology (UTAUT) model was applied and extended with constructs principally…
Descriptors: Integrated Learning Systems, Independent Study, College Students, Student Attitudes
Karatas, Kasim; Arpaci, Ibrahim – Contemporary Educational Technology, 2021
This study investigated role of the self-directed learning skills, metacognitive awareness, and 21st century skills and competences in predicting readiness for online learning during the COVID-19 pandemic. 21st Century Skills and Competences Scale, Self-Directed Learning Skills Scale, Metacognitive Awareness Inventory, and Readiness for Online…
Descriptors: Independent Study, Metacognition, 21st Century Skills, Prediction
Thongsri, Nattaporn; Chootong, Chalothon; Tripak, Orawan; Piyawanitsatian, Piyaporn; Saengae, Rungtip – Interactive Technology and Smart Education, 2021
Purpose: This study aims to study the adoption of online learning in higher education through the perspective of the readiness of the following factors: self-directed learning (SDL), motivation for learning (ML), online communication self-efficacy (OCE) and learner control (LC). This was an empirical study in the context of developing countries,…
Descriptors: Electronic Learning, Higher Education, Independent Study, Learning Motivation
Eom, Sean B.; Ashill, Nicholas J. – Decision Sciences Journal of Innovative Education, 2018
The past several decades of e-learning empirical research have advanced our understanding of the effective management of critical success factors (CSFs) of e-learning. Meanwhile, the proliferation of measures of dependent and independent variables has been overelaborated. We argue that a significant reduction in dependent and independent variables…
Descriptors: Electronic Learning, Success, Models, College Students
Monitoring and Depth of Strategy Use in Computer-Based Learning Environments for Science and History
Deekens, Victor M.; Greene, Jeffrey A.; Lobczowski, Nikki G. – British Journal of Educational Psychology, 2018
Background: Self-regulated learning (SRL) models position metacognitive monitoring as central to SRL processing and predictive of student learning outcomes (Winne & Hadwin, 2008; Zimmerman, 2000). A body of research evidence also indicates that depth of strategy use, ranging from surface to deep processing, is predictive of learning…
Descriptors: Independent Study, Learning Strategies, Electronic Learning, Computer Assisted Instruction

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