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Simone Porcu; Alessandro Floris; Luigi Atzori – IEEE Transactions on Learning Technologies, 2025
In this article, we preliminarily discuss the limitations of current video conferencing platforms in online synchronous learning. Research has shown that while the involved technologies are appropriate for collaborative video calls, they often fail to replicate the rich nature of face-to-face interactions among students and between students and…
Descriptors: Computer Simulation, Electronic Learning, Synchronous Communication, Videoconferencing
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Robin Junker; Jennifer Janeczko; Alena Lehmkuhl; Verena Zucker; Manfred Holodynski; Nicola Meschede – Education and Information Technologies, 2025
The adoption of virtual learning environments (VLEs) in education has grown significantly due to their potential to enhance learning. Effective learning in VLEs depends on managing cognitive load and sustaining motivation, particularly for complex tasks like developing teachers' professional vision -- the ability to notice and interpret classroom…
Descriptors: Models, Prompting, Electronic Learning, Computer Simulation
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Moraes, Eduardo Baldo; Kipper, Liane Mahlmann; Hackenhaar Kellermann, Ana Clara; Austria, Leonardo; Leivas, Pedro; Moraes, Jorge André Ribas; Witczak, Marcus – Interactive Technology and Smart Education, 2023
Purpose: The purpose of this study is to identify the uses of Industry 4.0 technologies in the area of education and how they contribute to learning in addition to highlighting at what educational level they are used. Design/methodology/approach: A systematic literature review was carried out in the Scopus (Elsevier), Web of Science and…
Descriptors: Educational Technology, Internet, Computer Simulation, Higher Education
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Unyaparn Sinlapaninman; Wannatida Yonwilad – Educational Process: International Journal, 2025
Background/purpose: This study addresses the growing gap in preparing pre-service teachers for immersive digital instruction, especially within metaverse environments. While many are familiar with digital platforms as learners, they often lack practical experience in managing and teaching in virtual settings. The purpose of this study is to…
Descriptors: Preservice Teachers, Electronic Learning, Computer Simulation, Instructional Design
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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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Chun-Mei Chou; Tsu-Chuan Shen; Tsu-Chi Shen – Education and Information Technologies, 2025
AR-supported instruction has been verified to improve students' problem-solving skills. This study investigated 1041 university students and developed an empirical research model that combined technology acceptance, self-regulation, and AR-supported learning effectiveness with the structural equation model (SEM). At the same time, content analysis…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Adoption (Ideas)
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Alblehai, Fahad M. – Journal of Educational Computing Research, 2022
The application of different virtual reality interventions has been recently gaining interest from researchers and practitioners. Due to the current COVID-19 pandemic, higher education institutions increased the use of these technologies to help create much value for educators and students. The relationship between individual experience and…
Descriptors: Undergraduate Students, Experience, Computer Simulation, Interpersonal Attraction
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Teemu H. Laine; Woohyun Lee – IEEE Transactions on Learning Technologies, 2024
The metaverse is a network of interoperable and persistent 3-D virtual worlds where users can coexist and interact through mechanisms, such as gamification, nonfungible tokens, and cryptocurrencies. Although the metaverse is a theoretical construct today, many collaborative virtual reality (CVR) applications have emerged as potential components of…
Descriptors: Computer Simulation, Simulated Environment, College Students, Student Attitudes
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Mukarramah Mustari; Hartono; Sunyoto Eko Nugroho; Sugianto – Journal of Educators Online, 2025
This paper explores the development and evaluation of a MOOCs-based virtual physics measurement laboratory module designed to overcome common barriers in physics education, such as limited physical lab access, high costs, and safety concerns. Utilizing the Borg and Gall Research and Development model, this module integrates structured layouts,…
Descriptors: Physics, MOOCs, Science Education, Computer Simulation
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Jingjing Xu; Zhongling Pi; Meng Liu; Chaoqun Ye; Weiping Hu – Instructional Science: An International Journal of the Learning Sciences, 2025
Discussion has become a crucial method of interactive learning in online collaborative environments. This study aims to identify the impact of different task motivation compositions and learning scaffolding on attention, learning performance, and behavioral patterns. The 90 Chinese undergraduate and graduate students (M[subscript age]=20.38,…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Scaffolding (Teaching Technique)
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Nordin, Noradila; Nordin, Nur Rasyidah Mohd.; Omar, Wafa – Asian Journal of University Education, 2022
The use of technology in education is believed to enhance students' learning experience. Technology such as Augmented Reality (AR) is increasingly used in the classroom through the use of gamification. This study aims to examine students' experience in using a board game with web-based Augmented Reality named REV-OPOLY in their learning.…
Descriptors: Educational Games, Electronic Learning, Computer Simulation, Undergraduate Students
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Hwang, Yohan; Shin, Dongkwang; Lee, Hyejin – Educational Technology Research and Development, 2023
The main purpose of this paper is to add empirical data to the nascent field of metaverse learning and teaching by examining factors affecting student participation and their perceived experiences of different metaverse platforms. For data collection, 57 Korean undergraduates participated in a self-administered questionnaire and a short reflective…
Descriptors: Student Attitudes, Computer Simulation, Electronic Learning, Student Participation
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Achmad Buchori; Dina Prasetyowati; Wijayanto – Pegem Journal of Education and Instruction, 2023
In learning during the current epidemic, students cannot meet face to face on campus, and learning geometry in universities is a dreadful lesson before the pandemic. Both at UPGRIS and other private universities so far, students are required to use a compass and ruler in making flat shapes and building spaces so they have to face to face with the…
Descriptors: Computer Simulation, Electronic Learning, Laboratories, Geometry
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Patrick Bowers; Kelley Graydon; Tracii Ryan; Jey Han Lau; Dani Tomlin – Australasian Journal of Educational Technology, 2024
This study presents a scoping review of research on artificial intelligence (AI)- driven virtual patients (VPs) for communication skills training of healthcare students. We aimed to establish what is known about these emergent learning tools, to characterise their design and implementation into training programmes. The preferred reporting items…
Descriptors: Allied Health Occupations Education, Artificial Intelligence, Computer Simulation, College Students
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Angela S. Kelling; Nicholas J. Kelling – Teaching of Psychology, 2025
Background: Given the increased emphasis on active learning in psychology, it is important to use data to enhance these experiences. In learning courses, both live animals and virtual training laboratories have been found to enhance learning, but less research has examined student preferences. Generally, live rats are preferred, but students may…
Descriptors: Student Attitudes, Preferences, Science Laboratories, Computer Simulation
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