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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
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Tal Samuel-Azran; Shira Goldberg; Tsahi Hayat; Yair Amichai-Hamburger – SAGE Open, 2025
Social factors, including social ties (the extent to which students form social ties with other students in the course) and social capital (the resources which are accessed through our social networks), have been acknowledged as important predictors of learning outcomes. Furthermore, they may be particularly important in online distance learning…
Descriptors: Social Capital, Electronic Learning, Online Courses, Student Satisfaction
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Ayse Eliüsük Bülbül; Serap Yilmaz Özelçi – Education and Information Technologies, 2025
This study is significant as it seeks to establish the connection between the digital literacy levels of pre-service teachers and their teacher identities while also examining the mediating role of mobile learning in this relationship. Additionally, it explores the impact of pre-service teachers' digital literacy and learning motivations on their…
Descriptors: Mediation Theory, Electronic Learning, Learning Motivation, Preservice Teachers
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Jamal Kay B. Rogers; Tamara Cher R. Mercado; Ronald S. Decano – Journal of Education and Learning (EduLearn), 2025
Poor academic performance remains among the most concerning educational issues, especially in higher education and online learning. To address the concern, institutions like the University of Southeastern Philippines (USeP) leverage educational data mining (EDM) techniques to generate relevant information from learning management systems (LMS)…
Descriptors: Foreign Countries, Learning Management Systems, Academic Achievement, Data Analysis
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Khaleel Asyraaf Mat Sanusi; Deniz Iren; Nardie Fanchamps; Mai Geisen; Roland Klemke – Educational Technology Research and Development, 2025
Psychomotor skill training has traditionally relied on the physical presence of both teacher and learner for effective demonstrations and feedback, posing challenges for remote and self-directed learning. Technological advancements have given rise to immersive learning environments (ILEs), offering novel solutions for interactive and multimodal…
Descriptors: Psychomotor Skills, Skill Development, Computer Simulation, Electronic Learning
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Zui Cheng; Zhuo Zhang; Qian Xu; Yukiko Maeda; Peidi Gu – Journal of Computing in Higher Education, 2025
Research on academic performance in online education proliferated in the last decade; however, our current understanding of the relationship between self-regulated learning and academic performance in online learning environments remains scattered. This meta-analysis provides a holistic view of the relationship between learners' use of…
Descriptors: Meta Analysis, Independent Study, Learning Strategies, Academic Achievement
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Xin Gong; Weiqi Xu; Ailing Qiao; Zhixia Li – Journal of Computer Assisted Learning, 2025
Background: Robot programming can simultaneously cultivate learners' computational thinking (CT) and spatial thinking (ST). However, there is a noticeable gap in research focusing on the micro-level development patterns of learners' CT and ST and their interconnections. Objectives: This study aims to uncover the intricate development patterns and…
Descriptors: Mental Computation, Thinking Skills, Skill Development, Robotics
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Mohammad Mansour Khasawneh – Knowledge Management & E-Learning, 2025
The study aims to investigate the impact of e-learning readiness on faculty's performance in their academic works. It also seeks to examine how their information security awareness and technology self-efficacy mediate this primary effect. Due to the COVID-19 pandemic, many academic institutions around the world have closed; and adopted online…
Descriptors: Electronic Learning, Educational Technology, Readiness, Information Security
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Yuyu Dai; Xuebu Hu – Education and Information Technologies, 2025
Online learning as an emerging learning method has a significant impact on education, which cannot be ignored. This article explores the relationship between engagement (including cognition, behavior and emotion), motivation, environment, and college students' concentration in online learning during the COVID-19 pandemic. A total of 889 college…
Descriptors: Foreign Countries, College Students, Attention, Electronic Learning
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Erika Gintere; Martins Iltners; Linda Pavitola – Problems of Education in the 21st Century, 2025
The contagion of COVID-19 and its resulting health consequences, combined with the rapid and unplanned shift to online teaching and learning, profoundly affected various aspects of students' personal and academic lives worldwide. The pandemic disrupted traditional educational systems, altering the way students learn and interact, while also…
Descriptors: Foreign Countries, Secondary School Students, Grade 8, Grade 9
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Ilana Ram; Rinat Rosenberg-Kima; Daniel R. Lewin; Abigail Barzilai; Olga Chumtonov; Ido Roll – Online Learning, 2025
While the benefits of active learning to student experiences are well documented, less is known about active learning in online education, especially regarding the development of 21st century skills (e.g., communication, collaboration, critical thinking, creativity). Specifically, open questions remain concerning the contribution of different…
Descriptors: Active Learning, 21st Century Skills, Electronic Learning, STEM Education
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Shuwen Liu; Rui Yuan; Chuang Wang – Language Teaching Research, 2025
Teaching has always been an emotionally demanding profession, which involves tremendous emotional labour on the part of language teachers. This is particularly true for instructors of English as a foreign language (EFL) suddenly obliged to teach online during the COVID-19 pandemic. Drawing on the approach of autoethnographic self-study, this…
Descriptors: English (Second Language), Second Language Instruction, Language Teachers, Ethnography
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Faruk Arici; Riza Salar; Rabia Meryem Yilmaz – Technology, Knowledge and Learning, 2025
With the advancement of technology, traditional classroom environments have been increasingly replaced by technology-driven learning settings. This transition has been further accelerated by global crises such as wars, health emergencies, and economic instability, pushing education beyond conventional boundaries. Among these settings, e-learning…
Descriptors: Preservice Teachers, Science Teachers, Student Satisfaction, Correlation
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Selina Ochukut; Robert Oboko; Evans Miriti; Christopher Chepken; Andrew Kahonge; Elizaphan Maina – International Journal of Education and Development using Information and Communication Technology, 2025
E-learning is an emerging trend in most universities. Due to COVID-19, many universities adopted e-learning. With the sudden adoption and implementation of e-learning, learners had to undergo learning on how to learn and take examinations electronically, which could have increased cognitive load in their learning experience. Without regular, face…
Descriptors: Electronic Learning, Cognitive Ability, Learning Motivation, Learning Experience