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Melanie Turner; Flaviu A. Hodis – Educational Psychology Review, 2025
Conscientiousness has consistent and robust associations with a large set of key student outcomes. Thus, to understand the extent to which conscientiousness could be leveraged to support students' learning, achievement, and well-being, it is important to ascertain whether conscientiousness could be strengthened by means of interventions. To narrow…
Descriptors: Literature Reviews, Intervention, Personality Traits, Electronic Learning
Long Zhang; Khe Foon Hew – Education and Information Technologies, 2025
Although self-regulated learning (SRL) plays an important role in supporting online learning performance, the lack of student self-regulation skills poses a persistent problem to many educators. Recommender systems have the potential to promote SRL by delivering personalized feedback and tailoring learning strategies to meet individual learners'…
Descriptors: Independent Study, Electronic Learning, Online Courses, Artificial Intelligence
Kajal Mahawar; Punam Rattan – Education and Information Technologies, 2025
Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…
Descriptors: Electronic Learning, Artificial Intelligence, Academic Achievement, Prediction
Sabita Mahapatra; Shivendra Kumar Pandey – International Journal of Educational Management, 2025
Purpose: The COVID-19 pandemic compelled educational institutions to shift from classroom interactions to electronic learning (e-learning). This study uses eTAM with usability dimensions to examine the use of e-learning for core academic activities during the COVID-19 pandemic. Leveraging the switching value framework, it investigates students'…
Descriptors: Electronic Learning, COVID-19, Pandemics, Extracurricular Activities
Xiangju Meng; Zhenfang Hu; Dan Jia – International Journal of Educational Management, 2025
Purpose: This paper aims to explore the impact of a digital growth mindset on the academic performance of business students in China as well as the role of gender in this relationship. The study provides feasible ways to foster such a mindset to ensure quality in business education. Design/methodology/approach: The paper employs a survey to…
Descriptors: Foreign Countries, Business Education, College Students, Cognitive Structures
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
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
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
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
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
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
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
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
Yunyun Liu; Yinghua Ye – European Journal of Psychology of Education, 2025
Self-regulated learning (SRL) is the key variable to ensuring success or failure in online learning. However, in real-world online learning, college students face SRL deficiency, such as procrastination, decreased learning motivation, poor time management, and resource management. Therefore, scientifically exploring how to effectively promote the…
Descriptors: Individualized Instruction, Cooperative Learning, Electronic Learning, Small Group Instruction