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Showing 1 to 15 of 58 results Save | Export
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C. B. Moelans; J. J. Geerling; R. D. Radersma; M. J. Moons; P. J. van Diest; M. F. van der Schaaf – Biochemistry and Molecular Biology Education, 2024
Laboratory e-learning support tools can assist students' learning while preparing for laboratory classes. To successfully work in such virtual experimental environments (VEEs) outside class, students require self-regulated learning (SRL) skills. A deeper understanding of the continuous reciprocal interactions between SRL, satisfaction, and online…
Descriptors: Science Laboratories, Electronic Learning, Educational Technology, Self Management
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Lingyun Huang; Juan Zheng; Susanne P. Lajoie; Yuxin Chen; Cindy E. Hmelo-Silver; Minhong Wang – Education and Information Technologies, 2024
Learning analytics dashboards (LADs) are often used to display real-time data indicating student learning trajectories and outcomes. Successful use of LADs requires teachers to orient their dashboard reviews with clear goals, apply appropriate strategies to interpret visualized information on LADs and monitor and evaluate their interpretations to…
Descriptors: Learning Analytics, Educational Technology, Self Management, Learning Strategies
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Slaviša Radovic; Niels Seidel – International Journal of Assessment Tools in Education, 2024
Advanced learning technologies have become a focal point in recent educational research, holding the promise of enhancing students' self-regulated learning (SRL) by facilitating various processes of planning, monitoring, performing, and reflecting upon learning experiences. However, concerns have arisen regarding the efficacy and design of…
Descriptors: Self Management, Educational Technology, Scoring Rubrics, Educational Environment
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Zixi Li; Curtis J. Bonk; Chen Zhou – Interactive Technology and Smart Education, 2024
Purpose: This study aims to investigate a unique approach to learning languages through self-directed online learning. Specifically, it explores the self-management abilities and skills learners need while learning a language outside traditional classroom settings when using mobile-assisted learning technology. Design/methodology/approach: A…
Descriptors: Self Management, Independent Study, Second Language Learning, Electronic Learning
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Maria Klar; Josef Buchner; Michael Kerres – Open Education Studies, 2024
Metacognitive activities are reported to improve learning but prompts to support metacognition have only been investigated with mixed results. In the present study, metacognitive prompts for confidence judgments were implemented in a learning platform to provide more insights into their effectiveness and their limits. Comparing the prompted group…
Descriptors: Metacognition, Prompting, Self Management, Performance
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Myong-Hee Ko; Gayeong Jung; Jee Eun Kim – English Teaching, 2024
The current study examines the digital behaviors of 124 university students enrolled in a blended learning class in Korea. The students were divided into two groups (upper and lower) based on their scores on a self-regulated learning questionnaire. Their digital behaviors were compared across four areas: (a) task completion scores; (b) strategy…
Descriptors: Self Management, Educational Technology, Technology Uses in Education, Student Behavior
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Ünal Çakiroglu; Mehmet Kokoç; Melek Atabay – Journal of Computing in Higher Education, 2024
This profiling study deals with the self-regulated learning skills of online learners based on their interaction behaviors on the learning management system. The learners were profiled through their interaction behaviors via cluster analysis. Following a correlational model with the interaction data of learners, the post-test questionnaire data…
Descriptors: Foreign Countries, Undergraduate Students, Teacher Education Programs, Educational Technology
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Esty Setyo Utaminingsih; Ellianawati – Turkish Online Journal of Distance Education, 2025
This research aims to develop a STEAM-based e-module containing critical and independent reasoning characters. The method used in this study is Research and Development (R&D). The validation of e-modules is assessed based on three aspects, including aspects of content, construction, and language. The experts who validated each aspect consisted…
Descriptors: Art Education, STEM Education, Learning Modules, Electronic Learning
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Fabrício Domingos Ferreira da Rocha; Bruno Lemos; Pedro Henrique de Brito; Rodrigo Santos; Luiz Rodrigues; Seiji Isotani; Diego Dermeval – Education and Information Technologies, 2024
Self-regulation helps students develop various cognitive, metacognitive, and affective strategies to regulate their learning process and maximize learning gains. However, self-regulation demands i) an encouraging environment and ii) student motivation. First, adding Open Learner Models (OLM) to learning environments encourages self-regulation by…
Descriptors: Gamification, Self Management, Access to Information, Open Education
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Ibrahim Hakki Bulut; Ömer Delialioglu – Interactive Learning Environments, 2024
The aim of this study is to construct a technology model, named as Online Learning Technology Engagement Model (OLTEM), to enhance our understanding in the adoption of an online learning technology. The study suggests a model covering the theoretical background of underlying motivational processes for technology engagement of students. The sample…
Descriptors: Electronic Learning, Educational Technology, Technology Uses in Education, Foreign Countries
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Beard, Jeffrey; MacTavish, Elizabeth – International Journal of Self-Directed Learning, 2022
The purpose of this practice brief is to share our educational technology team's best practices for facilitating preservice teachers' self-directed learning in technology-focused learning environments. Our team has developed technology courses that support and encourage learning environments in which students have opportunities to engage with our…
Descriptors: Independent Study, Self Management, Electronic Learning, Preservice Teachers
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Yildirim, Denizer; Gülbahar, Yasemin – Technology, Knowledge and Learning, 2022
This study aims to determine indicators that affect students' final performance in an online learning environment using predictive learning analytics in an ICT course and Turkey context. The study takes place within a large state university in an online computer literacy course (14 weeks in one semester) delivered to freshmen students (n = 1209).…
Descriptors: Electronic Learning, Foreign Countries, Computer Literacy, College Freshmen
Lakshmi, Y. Vijaya; Majid, Ishfaq – Online Submission, 2022
The present study reports about the factors that determine the readiness of students towards E-learning. Through a small-scale literature review, efforts were made to identify the key factors that determine the readiness of students towards E-learning. The researcher used technique of content analysis for reviewing the literature. The literature…
Descriptors: Electronic Learning, Educational Technology, Readiness, Higher Education
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Nathalie Barz; Manuela Benick; Laura Dörrenbächer-Ulrich; Franziska Perels – Discover Education, 2024
The present study examines university students' acceptance of e-learning according to the Technology Acceptance Model (TAM). We also investigate the influence of external factors, including self-efficacy with digital media, self-regulated learning, prior experience, and affinity for technology, to extend the model with valid individual factors.…
Descriptors: Undergraduate Students, Electronic Learning, Self Management, Foreign Countries
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Mokhtar, Shaharina; Hilaluddin, Thaharah; Nik Nazli, Nik Nadian Nisa – International Journal of Technology in Education, 2023
During the pandemic period, the education sector was heavily impacted involving transformations of instructional delivery from face-to-face to online mode. To date, we know that the virtual learning environment has been posing heavy demands particularly on the students. Learning from their own homes, they had to learn in isolation, deprived from…
Descriptors: Barriers, Intention, Electronic Learning, Educational Technology
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