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Thuy Dung Pham Thi; Nam Tien Duong – Education and Information Technologies, 2024
With the explosive growth of various applications on the Internet, higher education institutions have advocated distance learning courses, making research on online learning increasingly important. This study attempts to emphasize the characteristics of instruction in online learning systems, using the Theory of Planned Behavior. Two groups of…
Descriptors: Electronic Learning, College Students, Behavior Theories, Intention
Michelle L. Bianco – ProQuest LLC, 2024
The purpose of this quantitative, non-experimental, causal-comparative study is to determine if there is a difference in the writing motivation of students with attention-deficit/hyperactivity disorder (ADHD) and students without ADHD in online college composition I courses. The study of writing motivation in relation to ADHD in online college…
Descriptors: Student Motivation, Attention Deficit Hyperactivity Disorder, Electronic Learning, Writing Instruction
Quesada-Pallarès, Carla; González-Ortiz-de-Zárate, Aitana; Pineda-Herrero, Pilar; Cascallar, Eduardo – Vocations and Learning, 2022
Understanding vocational learning and transfer is vital to European citizens. We need to understand how transfer works, which factors influence it, and how these factors affect employee behaviour. Research in online training specific to Southern Europe is needed to move the field forward. The Unified Model of Motivation for Training Transfer (MTT)…
Descriptors: Vocational Education, Electronic Learning, Online Courses, Models
Alshurideh, Muhammad; Al Kurdi, Barween; Salloum, Said A.; Arpaci, Ibrahim; Al-Emran, Mostafa – Interactive Learning Environments, 2023
Despite the plethora of m-learning acceptance studies, few have tackled the importance of examining the actual use of m-learning systems from the lenses of social influence, expectation-confirmation, and satisfaction. Additionally, most of the prior technology adoption literature tends to use the structural equation modeling (SEM) technique in…
Descriptors: Electronic Learning, Prediction, Least Squares Statistics, Structural Equation Models
Roberts, Nicky; Spencer-Smith, Garth – South African Journal of Childhood Education, 2019
Background: There has been little Southern African research attention on the potentials of m-learning to support quality mathematics learning for young children and their caring adults. This article argues that m-learning research has shifted from claims of being promising to claims of effect in educational settings of both classrooms and homes.…
Descriptors: Electronic Learning, Models, Intervention, Mathematics Instruction
Botelho, Anthony F.; Adjei, Seth A.; Heffernan, Neil T. – International Educational Data Mining Society, 2016
The incorporation of prerequisite skill structures into educational systems helps to identify the order in which concepts should be presented to students to optimize student achievement. Many skills have a causal relationship in which one skill must be presented before another, indicating a strong skill relationship. Knowing this relationship can…
Descriptors: Prerequisites, Relationship, Models, Comparative Analysis
Zou, Di; Wang, Minhong; Xie, Haoran; Cheng, Gary; Wang, Fu Lee; Lee, Lap-Kei – Interactive Learning Environments, 2021
Personalized learning has become an important and powerful paradigm catering for various needs, styles, preferences, and modes of learning. Several methods including task recommendations and path planning have recently emerged to effectively implement personalized learning using e-learning systems. The literature shows that the use of task…
Descriptors: Linguistic Theory, Vocabulary Development, Second Language Learning, Second Language Instruction
Olsson, Ulf – Education & Training, 2016
Purpose: The purpose of this paper is to analyse if open courses, including massive open online courses (MOOCs), can be used as professional development despite their openness since the openness not only brings together individuals from different organizations but also may make the results of collaboration public. Design/methodology/approach: The…
Descriptors: Online Courses, Professional Development, Higher Education, Cooperation
Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
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
Mustafa, Hassan M. H.; Tourkia, Fadhel Ben; Ramadan, Ramadan Mohamed – Journal of Education and e-Learning Research, 2017
The objective of this piece of research is to interpret and investigate systematically an observed brain functional phenomenon which is associated with proceeding of e-learning processes. More specifically, this work addresses an interesting and challenging educational issue concerned with dynamical evaluation of elearning performance considering…
Descriptors: Electronic Learning, Reaction Time, Brain Hemisphere Functions, Learning Processes
Thomas, Troy Devon; Singh, Lenandlar; Gaffar, Kemuel – International Journal of Education and Development using Information and Communication Technology, 2013
In this paper, we compare the utility of modified versions of the unified theory of acceptance and use of technology (UTAUT) model in explaining mobile learning adoption in higher education in a developing country and evaluate the size and direction of the impacts of the UTAUT factors on behavioural intention to adopt mobile learning in higher…
Descriptors: Foreign Countries, Electronic Learning, Adoption (Ideas), Higher Education
Nitchot, Athitaya; Gilbert, Lester – Electronic Journal of e-Learning, 2015
Web resources allow a learner to have more opportunities for study at any time and any place. It is still difficult, however, for learners to choose the right study materials to match their desired learning. A competence-based system for recommending study materials from the Web (COSREW) is proposed, based on the learner's competences. COSREW…
Descriptors: Internet, Instructional Materials, Competence, Electronic Learning
Lim, Janine; Hall, Barbara M.; Jeong, Allan C.; Freed, Shirley – Quarterly Review of Distance Education, 2017
This study explores the combination of course structure, prompt type, and characteristics of discussion posts and their relationships with intersubjectivity. A content analysis measured the intersubjectivity of peer responses by analyzing the interaction analysis model (IAM) phase of each post and comparing with the IAM phase of the previous post.…
Descriptors: Online Courses, Content Analysis, Comparative Analysis, Statistical Analysis
Lamb, Richard L. – Journal of Science Education and Technology, 2016
Within the last 10 years, new tools for assisting in the teaching and learning of academic skills and content within the context of science have arisen. These new tools include multiple types of computer software and hardware to include (video) games. The purpose of this study was to examine and compare the effect of computer learning games in the…
Descriptors: Cognitive Processes, Computation, Models, Science Laboratories