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Yuko Suzuki; Fridolin Wild; Eileen Scanlon – Journal of Computer Assisted Learning, 2024
Background: Cognitive load during AR use has been measured conventionally by performance tests and subjective rating. With the growing interest in physiological measurement using non-invasive biometric sensors, unbiased real-time detection of cognitive load in AR is expected. However, a range of sensors and parameters are used in various subject…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Physiology
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Anna Flavia Di Natale; Claudia Repetto; Daniela Villani – Journal of Computer Assisted Learning, 2024
Background: Online synchronous learning in higher education frequently struggles to overcome the social presence gap, resulting in dissatisfaction and poor learning outcomes. Objectives: This study examined the effectiveness of desktop-based virtual reality (VR) social platforms compared to video conferencing (VC) platforms in enhancing students'…
Descriptors: Computer Simulation, Social Media, Computers, Teleconferencing
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Mugur V. Geana; Dan Cernusca; Pan Liu – Journal of Computer Assisted Learning, 2024
Background: Education is, after gaming, the second largest sector embracing augmented reality (AR) at an accelerated pace, yet studies on AR's potential as an efficient learning environment had mixed results. Objectives: This study's primary objective is to test students' interaction with graphical 3D elements in AR and its impact on information…
Descriptors: Learner Engagement, Computer Simulation, Technology Uses in Education, Information Dissemination
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Liu, Chen-Chung; Lin, Tsun-Wei; Cheng, Chia-Hui; Wen, Cai-Ting; Chang, Ming-Hua; Fan Chiang, Shih-Hsun; Tsai, Meng-Jung; Lin, Hung-Ming; Hwang, Fu-Kwun – Journal of Computer Assisted Learning, 2022
Background: Collaborative computer simulations are available on some online platforms which support students at distributed locations to synchronously collaborate on the simulations to learn sciences. However, how students collaborate with each other in collaborative simulations is not clear. Objectives: The aim of this study was to investigate…
Descriptors: Computer Simulation, Cooperative Learning, Electronic Learning, Student Attitudes
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Akturk, Ahmet Oguz – Journal of Computer Assisted Learning, 2022
Background: "Journal of Computer Assisted Learning" ("JCAL"), which started its publication life in 1985, is a leading international journal in the field of computer and instructional technologies and celebrated its 35th anniversary in 2020. Objectives: This study aims to provide a bibliometric overview of leading publication…
Descriptors: Periodicals, Bibliometrics, Citations (References), Educational Technology
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Weng, Cathy; Otanga, Sarah; Weng, Apollo; Tran, Khanh Nguyen Phuong – Journal of Computer Assisted Learning, 2020
The purpose of this research was to compare the effectiveness of physical and virtual tangrams on preschool children's learning engagement and achievement. Children listened to an e-storybook narration and solved puzzles individually. The experimental group (N = 31) completed puzzles embedded in the e-storybook using virtual tangrams, while the…
Descriptors: Preschool Children, Computer Simulation, Manipulative Materials, Learner Engagement
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Wafa Mohammed Aldighrir; Fatima's Mohamed Asiri – Journal of Computer Assisted Learning, 2025
Background: As educational institutions increasingly operate as multicultural hubs, leaders must navigate the complexities of cultural differences, language barriers and diverse learning styles in digital environments. These challenges are amplified by the lack of non-verbal cues and the asynchronous nature of online communication, which can lead…
Descriptors: Foreign Countries, Test Construction, Measures (Individuals), Test Validity
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Liu, Yingjie; Butzlaff, Alice – Journal of Computer Assisted Learning, 2021
Background: Virtual reality can be a useful substitute to improve nursing education outside of the hospital setting. In the wake of COVID-19, an opportunity to compare a virtual reality activity for nursing students in the traditional classroom and in an online environment took place. Objectives: The goal of this study was to examine the effects…
Descriptors: Computer Simulation, Simulated Environment, Hospitals, Nursing Education
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Magana, Alejandra J.; Serrano, Mayari I.; Rebello, N. Sanjay – Journal of Computer Assisted Learning, 2019
Virtual learning environments can now be enriched not only with visual and auditory information, but also with tactile and kinesthetic feedback. However, the way to successfully integrate haptic feedback on a multimodal learning environment is still unclear. This study aims to provide guidelines on how visuohaptic simulations can be implemented…
Descriptors: Sequential Learning, Student Development, Concept Formation, Electronic Learning
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Taramopoulos, A.; Psillos, D. – Journal of Computer Assisted Learning, 2017
The present study investigates the impact of utilizing virtual laboratory environments combining dynamically linked concrete and abstract representations in investigative activities on the ability of students to comprehend simple and complex phenomena in the field of electric circuits. Forty-two 16- to 17-year-old high school students participated…
Descriptors: Energy, Computer Simulation, High School Students, Computer Assisted Instruction
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Jaakkola, T.; Veermans, K. – Journal of Computer Assisted Learning, 2015
Contemporary evidence on the effectiveness of concrete and abstract representations in science education is based solely on studies conducted in college context. There it has been found that learning with abstract representations produces predominantly better outcomes than learning with concrete representations and combining the representations…
Descriptors: Elementary School Students, Elementary School Science, Science Instruction, Computer Simulation
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van Schaik, P.; Martin, S.; Vallance, M. – Journal of Computer Assisted Learning, 2012
In contexts other than immersive virtual environments, theoretical and empirical work has identified flow experience as a major factor in learning and human-computer interaction. Flow is defined as a "holistic sensation that people feel when they act with total involvement". We applied the concept of flow to modeling the experience of…
Descriptors: Structural Equation Models, Interaction, Problem Solving, Psychometrics
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Vogel-Walcutt, J. J.; Gebrim, J. B.; Bowers, C.; Carper, T. M.; Nicholson, D. – Journal of Computer Assisted Learning, 2011
Computer-assisted learning, in the form of simulation-based training, is heavily focused upon by the military. Because computer-based learning offers highly portable, reusable, and cost-efficient training options, the military has dedicated significant resources to the investigation of instructional strategies that improve learning efficiency…
Descriptors: Educational Strategies, Constructivism (Learning), Instructional Design, Teaching Methods
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Hall, L. O.; Soderstrom, T.; Ahlqvist, J.; Nilsson, T. – Journal of Computer Assisted Learning, 2011
This article is about collaborative learning with educational computer-assisted simulation (ECAS) in health care education. Previous research on training with a radiological virtual reality simulator has indicated positive effects on learning when compared to a more conventional alternative. Drawing upon the field of Computer-Supported…
Descriptors: Feedback (Response), Computer Simulation, Allied Health Occupations Education, Achievement Tests