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Rahmi Baki – Turkish Online Journal of Distance Education, 2025
The rapid spread of information and communication technologies available via the internet has led to increased incorporation of e-learning systems (ELS) into education. Determining the criteria for users' effective adoption of an ELS is complex and must be multidimensional to increase user satisfaction and system effectiveness in practice and in…
Descriptors: Electronic Learning, High Schools, High Stakes Tests, Admission (School)
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Mi Kyung Cho; Seyoung Kim – International Electronic Journal of Mathematics Education, 2025
This study aimed to explore how AI-based educational platforms can support personalized mathematics learning. The three prominent AI-based educational platforms for mathematics were analyzed using a framework based on four dimensions: source, target, time, and adaptation method. Specifically, this study focused on providing illustrative examples…
Descriptors: Mathematics Education, Artificial Intelligence, Individualized Instruction, Educational Technology
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Achmad Hidayatullah; Csaba Csíkos – Asia Pacific Education Review, 2025
The role that psychological need satisfaction and self-regulated learning play in academic online learning has been extensively researched. However, the impact of the three psychological needs, perceived autonomy, competence, and relatedness, on online self-regulated learning remains unclear. This investigated the association between the…
Descriptors: Need Gratification, Psychological Needs, Independent Study, Electronic Learning
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Janice Proctor; Brad A. Cecil; Ethan Leach – Journal on Excellence in College Teaching, 2025
This study examines the cultural climate of successful groups in online undergraduate sociology courses that developed social contracts aimed at fostering positive group work experiences and academic achievement. An analysis of participants' group assessment papers investigated the most important attributes of group cultures with congenial work…
Descriptors: Undergraduate Students, Sociology, Group Activities, Group Behavior
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Khalid Alalawi; Rukshan Athauda; Raymond Chiong – International Journal of Artificial Intelligence in Education, 2025
The use of educational data mining and machine learning to analyse large data sets collected by educational institutions has the potential to discover valuable insights for decision-making. One such area that has gained attention is to predict student performance by analysing large educational data sets. In the relevant literature, many studies…
Descriptors: Learning Analytics, Technology Integration, Electronic Learning, Educational Practices
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Prihar, Ethan; Vanacore, Kirk; Sales, Adam; Heffernan, Neil – International Educational Data Mining Society, 2023
There is a growing need to empirically evaluate the quality of online instructional interventions at scale. In response, some online learning platforms have begun to implement rapid A/B testing of instructional interventions. In these scenarios, students participate in series of randomized experiments that evaluate problem-level interventions in…
Descriptors: Electronic Learning, Intervention, Instructional Effectiveness, Data Collection
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Monsalve-Pulido, Julian; Aguilar, Jose; Montoya, Edwin – Education and Information Technologies, 2023
The adaptation of traditional systems to service-oriented architectures is very frequent, due to the increase in technologies for this type of architecture. This has led to the construction of frameworks or methodologies for adapting computational projects to service-oriented architecture (SOA) technology. In this work, a framework for adaptation…
Descriptors: Artificial Intelligence, Information Technology, Design, Governance
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Lothes, John E., II; Matney, Sara; Naseer, Zayne; Pfyffer, Riley – Mind, Brain, and Education, 2023
Research shows that mindfulness interventions for test anxiety in a college student population are beneficial (Lothes, Matney, & Naseer, 2022). This study assessed the effects of online mindfulness practices over a 5-week period on anxiety and test anxiety in college students. Participants included 20 students that were randomly assigned to…
Descriptors: Metacognition, Test Anxiety, College Students, Electronic Learning
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Lee, Wei Ching; Tan, Bernard Cheng Yian – Journal of Workplace Learning, 2023
Purpose: The purpose of this study is to scrutinise individual learning strategies in their workplace when they were experiencing digital innovation. Moreover, the respective enablers and challenges of each category of strategies were explored to conceptualise supporting features needed in the digital learning environment.…
Descriptors: Workplace Learning, Learning Strategies, Electronic Learning, Innovation
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Hoffman, Emily Brown; Mangino, Anthony Angelo – Journal of Early Childhood Teacher Education, 2023
This explanatory mixed methods study investigated the role digital literacies play in the collaborative online learning of early childhood educators (ECEs). Through reporting quantitative survey and qualitative interview data, study results describe the attitudes and skills that contribute to ECEs' abilities to fluently use different modes of…
Descriptors: Technological Literacy, Electronic Learning, Early Childhood Teachers, Cooperative Learning
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Bal, Mazhar; Pamuk, Savas – Journal on School Educational Technology, 2023
Academic research on the use of technology and distance learning to facilitate teacher education has generated various insights and knowledge, which are the contributions of research on online distance teacher education. This research has explored topics such as teaching strategies and learners, distance education and information technologies,…
Descriptors: Literature Reviews, Distance Education, Teacher Education, Electronic Learning
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Senthil Kumaran, V.; Malar, B. – Interactive Learning Environments, 2023
Churn in e-learning refers to learners who gradually perform less and become lethargic and may potentially drop out from the course. Churn prediction is a highly sensitive and critical task in an e-learning system because inaccurate predictions might cause undesired consequences. A lot of approaches proposed in the literature analyzed and modeled…
Descriptors: Electronic Learning, Dropouts, Accuracy, Classification
Mariëtte van den Hoven; Miriam van Loon – Center for Educational Policy Studies Journal, 2023
Supervision and mentoring are highly relevant aspects of research integrity. Codes of Conduct, such as the ALLEA code of conduct, stipulate the relevance of training researchers how to conduct research well and about the role supervision plays in preventing unacceptable research practices. The Dutch Code of Conduct, for example, explicitly states…
Descriptors: Supervision, Supervisors, Research, Training
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Dianne Vargas; Karen Zandarski – Journal of Educators Online, 2023
This article describes how intentional planning using the principles of Fink's (2013) taxonomy for significant learning and Garrison's (2007) three presences, a traditional face-to-face course can be converted into a strong online course using the best practices of the flipped classroom model that facilitated better student outcomes. The suggested…
Descriptors: Electronic Learning, Online Courses, Learning, Learning Experience
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Xiaojing Gu; Simone M. Ritter; Ap Dijksterhuis – International Journal of Technology and Design Education, 2024
In today's rapidly changing and technology-driven world, the ability to think creatively is essential for individuals and organizations. To date, technology-based training has become a new trend for learning and training in the 21st century; however, little empirical research has been conducted to enhance creativity through online training. In the…
Descriptors: Electronic Learning, Creativity, Independent Study, Training
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