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Harisa Mardiana; Yakub Yakub – Asian Association of Open Universities Journal, 2025
Purpose: This study investigates how digital literacy, digital competence and work behavior influence online teaching productivity among educators in higher education. It aims to understand how these elements interact to enhance digital teaching effectiveness. Design/methodology/approach: A mixed-methods approach was employed. Quantitative data…
Descriptors: Digital Literacy, Electronic Learning, Teacher Effectiveness, Productivity
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Helen Donelan; Karen Kear; Jon Rosewell; Ale Okada; Kieron Sheehy; Kevin Amor; Carol Edwards; Allan Mooney; Paige Cuffe; Tracey Elder – Online Learning, 2025
In the context of online and distance learning, active student engagement in online synchronous tutorials is important for students' development; yet it can be challenging to achieve. The research reported in this paper explored why some students do not participate actively in online synchronous tutorials, instead preferring passive participation.…
Descriptors: Electronic Learning, Synchronous Communication, Student Participation, Student Attitudes
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Aleksandra Getman; Maxim Boitcov; Kesniia Adamovich; Jamie Costley – Innovations in Education and Teaching International, 2025
Despite its importance, research on the dynamic nature of student engagement and its relationship with academic success is limited. In this study, we investigate the consistency of student engagement and its relationship to academic achievement. We conduct an analysis of digital trace data on students' interaction with webinars. Specifically, we…
Descriptors: Learner Engagement, Learning Strategies, Academic Achievement, Internet
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Louise Dunn; Sarah Mclean – International Journal of Work-Integrated Learning, 2025
Innovation to support work-integrated learning (WIL) delivery in Australian higher education and other countries is becoming increasingly important due to the complexities associated with integrating work and learning in this context. Exacerbated by the COVID-19 pandemic, complexities include the changing nature of work and challenges related to…
Descriptors: Foreign Countries, Higher Education, Environmental Education, Health Education
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Maha Salem; Khaled Shaalan – Education and Information Technologies, 2025
The proliferation of digital learning platforms has revolutionized the generation, accessibility, and dissemination of educational resources, fostered collaborative learning environments and producing vast amounts of interaction data. Machine learning (ML) algorithms have emerged as powerful tools for analyzing these complex datasets, uncovering…
Descriptors: Electronic Learning, Prediction, Models, Educational Technology
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Stella Y. Kim; Doris U. Bolliger; Florence Martin – Distance Education, 2025
The present study evaluated the validity of the Online Learner Satisfaction Instrument (OLSI) in terms of construct and convergent validity, and measurement invariance across demographic groups. The study results revealed that the factor structures generally confirmed to the original factor structure proposed in the instrument. Also, some…
Descriptors: Student Satisfaction, Test Validity, Electronic Learning, Measures (Individuals)
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Rahmat Sholihin Mokhtar; Nurfaradilla Mohamad Nasri; Wan Ahmad Munsif Wan Pa – Journal of Education and Learning (EduLearn), 2025
Considering the pressing need for effective health education in primary schools, this systematic review rigorously evaluates various strategies designed to enhance students' health knowledge, attitudes, and behaviours. The primary objective of this study is to assess the efficacy, challenges, and outcomes of health education programmes that…
Descriptors: Health Education, Interaction, Active Learning, Student Projects
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Mujib Ubaidillah; Putut Marwoto; Wiyanto; Bambang Subali; Arif Widiyatmoko; Adi Nur Cahyono – International Review of Research in Open and Distributed Learning, 2025
Experiments are considered to be essential components of science learning. This research aimed to investigate trends in the use of science experiments in online learning. A systematic literature review was carried out, with data sourced from the Scopus and Google Scholar databases. The reviewed documents were journal articles published between…
Descriptors: Science Experiments, Science Instruction, Distance Education, Electronic Learning
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Hyeju Han; Kole Norberg; Byeong-Young Cho; Scott H. Fraundorf – Reading Horizons, 2025
Most research on internet reading has identified skilled readers based on well-established theories of print reading. Nevertheless, an emerging body of work suggests that higher competency in print reading does not fully account for competency in internet reading comprehension. The authors conducted a descriptive video analysis of high school…
Descriptors: High School Students, Reading Comprehension, Nonprint Media, Electronic Learning
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Ninik Sudarwati; Agus Prianto; Firman – Educational Process: International Journal, 2025
Background/purpose: The rapid advancement of technology, particularly in mobile learning, presents new opportunities for flexible, accessible education. In business education, especially marketing courses, integrating technology while cultivating essential 21st-century skills like critical thinking and collaboration remains challenging. This study…
Descriptors: Business Education, Critical Thinking, Cooperation, Electronic Learning
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Anton Adi Suryo Kusuma; Sutama; Harsono; Ahmad Muhibbin; Zohaib Hassan Sain – Educational Process: International Journal, 2025
Background/purpose: Several previous studies have attempted to develop Android learning media for elementary students beginning to learn counting. However, no media with a levelled adventure theme exists. The purpose of this research is to develop an android-based learning media, B'Math, to improve elementary students' counting skills.…
Descriptors: Elementary School Students, Mathematics Instruction, Computation, Game Based Learning
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Raymond A. Opoku; Bo Pei; Wanli Xing – Journal of Learning Analytics, 2025
While high-accuracy machine learning (ML) models for predicting student learning performance have been widely explored, their deployment in real educational settings can lead to unintended harm if the predictions are biased. This study systematically examines the trade-offs between prediction accuracy and fairness in ML models trained on the…
Descriptors: Prediction, Accuracy, Electronic Learning, Artificial Intelligence
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Kaouthar El Ouaddane; Nadir El Morabit; Ilham Oumaira; Mohammed Chekour – Educational Process: International Journal, 2025
Background/purpose: In the context of the digital era, students' motivation and engagement have become increasingly influenced by their level of digital skills. This systematic review was conducted to explore how digital competencies impact motivation in e-learning environments, particularly in educational settings. The purpose of the study was to…
Descriptors: Literature Reviews, Digital Literacy, College Students, Learning Motivation
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Brandon Scott Eddy; Alli Sauerwein; Leah Meloy; Eric Sanders – Teaching and Learning in Communication Sciences & Disorders, 2025
The effects of massed versus distributed learning have been well studied in the verbal and motor learning literature, with findings suggesting enhanced outcomes from distributing learning over time. However, some studies have found limited evidence to support enhanced outcomes from distributed learning when applied to an entire academic course.…
Descriptors: Augmentative and Alternative Communication, Teaching Methods, Speech Language Pathology, Electronic Learning
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Canan Albez – SAGE Open, 2025
The aim of this study is to analyze the ethical positions of pre-service teachers in the online ethics education process. The method of the research is embedded mixed design from mixed research methods. Ethical Position Scale and dilemma scenarios were used as pretest and posttest in the study. Data were collected online at the beginning and end…
Descriptors: Electronic Learning, Ethical Instruction, Preservice Teacher Education, Preservice Teachers
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