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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
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
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
Dave Cormier – Johns Hopkins University Press, 2024
In a world overflowing with information, how can we adapt our learning methods to thrive? Dave Cormier, a pioneering figure in digital education, presents a thought-provoking manifesto in "Learning in a Time of Abundance." A leading voice in digital learning, Cormier offers a fresh perspective on how we can face the uncertainty of a…
Descriptors: Electronic Learning, Learning Processes, Educational Change, Information Literacy
Danielle Kearns-Sixsmith – Mentoring & Tutoring: Partnership in Learning, 2024
Tutoring promotes student achievement, academic independence, and the reduction of anxiety. While ample studies support tutoring for enhancing student success, few address how to evaluate tutoring. This quandary led to research in building and testing a meta-model that identified the hallmarks of one-on-one high-quality online tutoring.…
Descriptors: Electronic Learning, Tutoring, Higher Education, Educational Quality
Tarek Shal – Online Learning, 2024
This study explored parents' perceptions pertaining to online learning in the state of Qatar during COVID-19 pandemic. Six hundred and eighty-eight parents were surveyed, and data was analyzed statistically using SPSS 28.0. Findings suggest that parents perceived online learning positively only when a set of conditions coexisted, including…
Descriptors: Parents, Parent Attitudes, COVID-19, Pandemics
Ulas Ilic; Ferhan Sahin; Ezgi Dogan – Journal of Learning and Teaching in Digital Age, 2024
The present study aims to investigate the potential variables that influence the faculty members' intention to continue using online learning systems during and after the pandemic based on extended Technology Acceptance Model (TAM) and Self Determination Theory (SDT), and to study individual differences between these variables. The methodology of…
Descriptors: Distance Education, Electronic Learning, College Faculty, Educational Change
Hui Li; Xiaolan Wu; Hasan Tinmaz – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study focuses on the online learning abilities of university students, a crucial skill in today's digital age. This research collected data from students (n = 945) from China with a questionnaire of 40 questions in two scales. The researchers made factor analyses concerning university students' online learning ability, which included 19…
Descriptors: Electronic Learning, College Students, Foreign Countries, Online Courses
Nedime Selin Çöpgeven; Mehmet Firat – Journal of Educators Online, 2024
Learning processes can now be transferred to digital environments, allowing for the tracking of learners' digital footprints. The field of learning analytics focuses on the efficient use of these digital records to improve both learning experiences and processes. Dashboards are the tangible outputs of learning analytics. The use of dashboards in…
Descriptors: Electronic Learning, Distance Education, Academic Achievement, Educational Technology
Anne Y. Branscum – Journal of Service-Learning in Higher Education, 2024
As the world is evolving, higher education is too. This includes online service-learning which in the past has been predominantly delivered in formats off-line or hybrid. This article describes some best practices to make the online service-learning experience beneficial for all who are involved and accessible to more students, including students…
Descriptors: Electronic Learning, Service Learning, College Students, Online Courses
Houssam El Aouifi; Mohamed El Hajji; Youssef Es-Saady; Hassan Douzi – IEEE Transactions on Learning Technologies, 2024
Recently, using videos as a learning resource has received a lot of attention and turned widely exploited as an effective learning tool. With the rapid spread of instructional videos, the number of these tools in all disciplines is becoming very high. It is fractious for learners to find video courses adapted to their needs. Recommender system is…
Descriptors: Video Technology, Teaching Methods, Instructional Effectiveness, Cognitive Style
Jing Chen; Ruiqi Wang; Bei Fang; Chen Zuo – Interactive Learning Environments, 2024
Online learning has developed rapidly and billions of learners have participated in various courses. However, the high dropout rate is universal and learning performance is not satisfactory. Fortunately, learners have posted a large number of reviews which express their feedback opinions. The fine-grained aspects and opinions existing in reviews…
Descriptors: Online Courses, Feedback (Response), Opinions, Algorithms
Mathias Mejeh; Livia Sarbach; Tina Hascher – Education and Information Technologies, 2024
Lifelong learning is emerging as a key priority for promoting equity and sustainability in societies. Self-regulated learning (SRL) is a fundamental requirement for achieving successful lifelong learning, and digitization is increasingly influential in this regard. This mixed-methods study explores the degree to which adaptive learning technology…
Descriptors: Feedback (Response), Independent Study, Lifelong Learning, Electronic Learning
Adil Boughida; Mohamed Nadjib Kouahla; Yacine Lafifi – Education and Information Technologies, 2024
In e-learning environments, most adaptive systems do not consider the learner's emotional state when recommending activities for learning difficulties, blockages, or demotivation. In this paper, we propose a new approach of emotion-based adaptation in e-learning environments. The system will allow recommendation resources/activities to motivate…
Descriptors: Psychological Patterns, Electronic Learning, Educational Environment, Models

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