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Basir, Muhammad; Ali, Samnan; Gulliver, Stephen R. – International Journal of Educational Management, 2021
Purpose: Coronavirus disease 2019 (COVID-19) has had global repercussions on use of e-learning solutions. In order to maximise the promise of e-learning, it is necessary for managers to understand, control and avoid barriers that impact learner continuance of e-learning systems. The technology, individual, pedagogy and enabling conditions (TIPEC)…
Descriptors: Electronic Learning, Barriers, Models, Individual Characteristics
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Shah, Sayed Kifayat; Tang, Zhongjun; Sharif, Sayed Muhammad Fawad; Tanveer, Arifa – Smart Learning Environments, 2021
The social distancing due to the COVID-19 epidemic has disturbed all sectors of society, including education. To maintain normal operations, it is necessary to adapt quickly to this situation. Many technologies and platforms have rushed to offer their support to users. This article adopts a critical perspective to reflect on the factors that may…
Descriptors: Student Behavior, Intention, Adoption (Ideas), Technology Integration
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Darejeh, Ali; Marcus, Nadine; Sweller, John – Educational Technology Research and Development, 2021
When novice users try to learn to use a software application that includes a variety of high element interactivity tools, the complex structure of the software can increase cognitive load and render the tools incomprehensible. Accordingly, there is a need for an efficient teaching approach that can provide practical knowledge to users while…
Descriptors: Educational Technology, Computer Software, Teaching Methods, Cognitive Processes
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Montero, Jane Brumfield – Art Education, 2021
When the COVID-19 occurred and classes went virtual, art education was particularly at risk because students did not have any art supplies at home. However, art teachers transformed their curriculum, adjusted expectations, and tried their best to teach art despite the isolation. Jane Brumfield Montero struggled to communicate with students and…
Descriptors: Teacher Student Relationship, Best Practices, Virtual Classrooms, COVID-19
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Wen, Yun; Gwendoline, Choon Lang Quek; Lau, Sin Yee – TechTrends: Linking Research and Practice to Improve Learning, 2021
With the integration of technology in teaching and learning, online learning is not a new instructional strategy in the education landscape. However, the onset of the COVID-19 pandemic has necessitated the implementation of Home-based Learning (HBL) for educators, parents, and students on an unprecedented duration and scale. The notions and the…
Descriptors: Information Technology, Technology Integration, Electronic Learning, Home Study
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Intyaswati, Drina; Maryani, Eni; Sugiana, Dadang; Venus, Anter – SAGE Open, 2021
The use of social media as a learning process is inevitable, as students need to be politically inclined. This study wants to contribute to the lack of research on the topic of political material. Complement the literature by evaluating the effects of social media use on political knowledge. The research used a cross-sectional survey method…
Descriptors: Social Media, Information Sources, Political Attitudes, Distance Education
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Yang, Christopher C. Y.; Chen, Irene Y. L.; Ogata, Hiroaki – Educational Technology & Society, 2021
Precision education is now recognized as a new challenge of applying artificial intelligence, machine learning, and learning analytics to improve both learning performance and teaching quality. To promote precision education, digital learning platforms have been widely used to collect educational records of students' behavior, performance, and…
Descriptors: Learning Analytics, Individualized Instruction, Instructional Materials, Books
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Czerkawski, Betül; Berti, Margherita – Research in Learning Technology, 2021
Recent years have seen a growing interest in augmented reality (AR) technologies due to their potential for simulating real-life situations and creating authentic learning tasks. Studies have shown that AR enables engaging and interactive learning experiences (e.g. Bressler and Bodzin 2013; Klopfer and Sheldon 2010) and can benefit student…
Descriptors: Computer Simulation, Simulated Environment, Learning Experience, Instructional Design
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Stahl, Gerry – Education Sciences, 2021
The Coronavirus pandemic has thrown public schooling into crisis, trying to juggle shifting instructional modes: classrooms, online, home-schooling, student pods, hybrid and blends of these. This poses an urgent need to redesign curriculum using available technology to implement approaches that incorporate the findings of the learning sciences,…
Descriptors: Curriculum Development, Mathematics Curriculum, Blended Learning, Cooperative Learning
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Sahin, Muhittin; Ulucan, Aydin; Yurdugül, Halil – Education and Information Technologies, 2021
E-learning environments can store huge amounts of data on the interaction of learners with the content, assessment and discussion. Yet, after the identification of meaningful patterns or learning behaviour in the data, it is necessary to use these patterns to improve learning environments. It is notable that designs to benefit from these patterns…
Descriptors: Electronic Learning, Data Collection, Decision Making, Evaluation Criteria
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Zhao, Fuzheng; Hwang, Gwo-Jen; Yin, Chengjiu – Educational Technology & Society, 2021
Educational data mining and learning analytics have become a very important topic in the field of education technology. Many frameworks have been proposed for learning analytics which make it possible to identify learning behavior patterns or strategies. However, it is difficult to understand the reason why behavior patterns occur and why certain…
Descriptors: Behavior Patterns, Reading, Textbooks, Electronic Learning
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Souabi, Sonia; Retbi, Asmaâ; Idrissi, Mohammed Khalidi; Bennani, Samir – Electronic Journal of e-Learning, 2021
E-learning is renowned as one of the highly effective modalities of learning. Social learning, in turn, is considered to be of major importance as it promotes collaboration between learners. For properly managing learning resources, recommender systems have been implemented in e-learning to enhance learners' experience. Whilst recommender systems…
Descriptors: Artificial Intelligence, Information Systems, Electronic Learning, Social Development
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Sipayung, Tetty Natalia; Imelda; Siswono, Tatag Yuli Eko; Masriyah – Malikussaleh Journal of Mathematics Learning, 2021
The purpose of this quantitative research with correlational design is to determine whether there is independent learning with learning motivation in online-based mathematics learning. So, it can support the success of learning process. This study was conducted in the odd semester of the 2021/2022 Academic Year. All seventh-grade students of SMP…
Descriptors: Independent Study, Student Motivation, Electronic Learning, Junior High School Students
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Jahnke, Isa; Riedel, Nathan; Singh, Kanupriya; Moore, Joi – Online Learning, 2021
Online courses often include interface designs that do not support a positive learner experience. Literature shows a variety of heuristics to detect issues of online courses. While heuristic-based inspection of usability is a dominant method for evaluating digital systems, these methods cannot be easily transferred to online courses. To close this…
Descriptors: Heuristics, Usability, Online Courses, Course Evaluation
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Huet, Isabel; Casanova, Diogo – Innovations in Education and Teaching International, 2021
The supervision of doctoral students has been evolving in the last decade. Supervisors supervise students on campus or at a distance and supervision takes place in formal or informal environments with the latter occurring more often through online encounters. This context of supervision has changed supervisory practices and students' own…
Descriptors: Faculty Development, Distance Education, Electronic Learning, Doctoral Students
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