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Hoi, Vo Ngoc; Le Hang, Ho – Journal of Computer Assisted Learning, 2021
Enhancing student engagement plays a critical role in reducing student drop-out rate in online learning as students usually feel isolated and disconnected in this learning environment. This requires a clear conceptualization of the student engagement construct and its underlying structure. However, the conceptual understanding of the student…
Descriptors: Learner Engagement, Electronic Learning, Structural Equation Models, Factor Analysis
Yeh, Y. -c.; Lin, C. S. – Journal of Computer Assisted Learning, 2018
Although cultivating creativity is greatly emphasized in elementary school education and that digital games can be a promising tool for improving creativity, little research has been conducted to identify and explore how player-related factors might influence the learning outcomes of digital creativity games. This study identifies 3 individual…
Descriptors: Goal Orientation, Academic Achievement, Structural Equation Models, Self Efficacy
Yildiz Durak, Hatice – Journal of Computer Assisted Learning, 2018
The aim of this study is to investigate the effect of students' flipped learning readiness (FLR) on engagement, programming self-efficacy, attitude towards programming, and interaction intensity in the information and technology classrooms where programming is taught with the flipped classroom (FC) model. The study group of this research, which is…
Descriptors: Teaching Methods, Middle School Students, Blended Learning, Self Efficacy
Zhang, Yining; Lin, Chin-Hsi – Journal of Computer Assisted Learning, 2021
This study extends the community of inquiry (CoI) framework and self-regulated learning (SRL) theory through an exploration of the structural relationships among existing CoI variables, learning presence (i.e., self-efficacy and online SRL strategy) and learning outcomes in the context of K-12 online learning. To help understand the influence of…
Descriptors: Mentors, Communities of Practice, Metacognition, Self Efficacy
Song, H. S.; Kalet, A. L.; Plass, J. L. – Journal of Computer Assisted Learning, 2016
This study examined the direct and indirect effects of medical clerkship students' prior knowledge, self-regulation and motivation on learning performance in complex multimedia learning environments. The data from 386 medical clerkship students from six medical schools were analysed using structural equation modeling. The structural model revealed…
Descriptors: Prior Learning, Self Management, Self Control, Student Motivation
van Schaik, P.; Martin, S.; Vallance, M. – Journal of Computer Assisted Learning, 2012
In contexts other than immersive virtual environments, theoretical and empirical work has identified flow experience as a major factor in learning and human-computer interaction. Flow is defined as a "holistic sensation that people feel when they act with total involvement". We applied the concept of flow to modeling the experience of…
Descriptors: Structural Equation Models, Interaction, Problem Solving, Psychometrics
Waheed, M.; Kaur, K.; Kumar, S. – Journal of Computer Assisted Learning, 2016
Quality knowledge has an impact on online students learning outcomes and loyalty. A framework that delineates the perceived eLearning knowledge quality (KQ) and its relationship with learning outcomes and loyalty is currently absent. Grounded in the KQ and information system success framework--this study presents the indicators of perceived…
Descriptors: Electronic Learning, Student Satisfaction, Outcomes of Education, Undergraduate Students
Jeske, D.; Backhaus, J.; Stamov Roßnagel, C. – Journal of Computer Assisted Learning, 2014
The current paper examined the relationship between perceived characteristics of the learning environment in an e-module in relation to test performance among a group of e-learners. Using structural equation modelling, the relationship between these variables is further explored in terms of the proposed double mediation as outlined by Ning and…
Descriptors: Electronic Learning, Self Control, Correlation, Educational Environment
Hong, J.-C.; Hwang, M.-Y.; Chang, H.-W.; Tai, K.-H.; Kuo, Y.-C.; Tsai, Y.-H. – Journal of Computer Assisted Learning, 2015
To determine the factors of learning effectiveness in English vocabulary learning when using a calibration scheme, this study developed a freshman English mobile device application (for iPhone 4) for students with low levels of English proficiency to practise vocabulary in the beginning of their Freshman English course. Data were collected and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Vocabulary Development
Lee, K.; Tsai, P.-S.; Chai, C. S.; Koh, J. H. L. – Journal of Computer Assisted Learning, 2014
This study explored students' perceptions of self-directed learning (SDL) and collaborative learning (CL) with/without technology in an information and communications technology-supported classroom environment. The factors include SDL, CL, SDL supported by technology, and CL supported by technology. Based on the literature review, this study…
Descriptors: Student Attitudes, Independent Study, Cooperative Learning, Technology Uses in Education
Chu, R. J-C.; Tsai, C-C. – Journal of Computer Assisted Learning, 2009
This article examines several research questions to establish a theory model for explaining factors that influence adult learners' preferences for constructivist Internet-based learning environments (CILE). Data were gathered from 541 individual participants enrolled in adult education institutes in Taiwan for structural equation modelling (SEM)…
Descriptors: Constructivism (Learning), Learning Readiness, Self Efficacy, Adult Basic Education

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