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Showing 1 to 15 of 24 results Save | Export
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Otman Jaber; Sara Bagossi; Michael N. Fried; Osama Swidan – ZDM: Mathematics Education, 2024
This paper describes how students conceptualize real-life phenomena in which two or more quantities are covarying in an augmented reality environment. With this technology, real-world phenomena and virtual representations may be connected simultaneously. We aim to investigate how students connect elements of the two worlds when conceptualizing…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
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F. Lozano-Galant; R. Porras; B. Mobaraki; F. Calderón; J. Gonzalez-Arteaga; J. A. Lozano-Galant – Journal of Civil Engineering Education, 2024
Traditionally, civil engineering infrastructures have been represented through two-dimensional (2D) drawings, which can lead to interpretation errors and jeopardize engineers' understanding of complex projects. However, with the development of building information modeling (BIM) methodology, civil engineering projects can now be virtually modeled…
Descriptors: Civil Engineering, Physical Environment, Simulated Environment, Synthesis
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Nan Zhang; Hongkai Wang; Tianqi Huang; Xinran Zhang; Hongen Liao – IEEE Transactions on Learning Technologies, 2024
Trunk anatomy education is critical in the training of the surgeon. Most trunk anatomy education systems use a personal or synthetic anatomical model. It remains difficult to obtain appropriate population anatomy information and create individualized anatomy customization based on a quantity of diverse data. Furthermore, the naked-eye virtual…
Descriptors: Computer Simulation, Simulated Environment, Human Body, Anatomy
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Zoran Sevarac; Jelena Jovanovic; Vladan Devedzic; Bojan Tomic – Interactive Learning Environments, 2023
The paper proposes EXPLODE, a new model of exploratory learning environment for teaching and learning neural networks. The EXPLODE model is about pedagogically instrumenting a software development environment to transform it into an exploratory learning environment for neural networks. Such an environment is particularly aimed for students who are…
Descriptors: Models, Discovery Learning, Artificial Intelligence, Computer Simulation
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Hutt, Stephen; Ocumpaugh, Jaclyn; Ma, Juliana; Andres, Alexandra L.; Bosch, Nigel; Paquette, Luc; Biswas, Gautam; Baker, Ryan S. – International Educational Data Mining Society, 2021
Self-regulated learning (SRL) is a critical 21st -century skill. In this paper, we examine SRL through the lens of the searching, monitoring, assessing, rehearsing, and translating (SMART) schema for learning operations. We use microanalysis to measure SRL behaviors as students interact with a computer-based learning environment, Betty's Brain. We…
Descriptors: Models, Self Control, Learning Strategies, Student Behavior
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Nadav Aridan; Michal Bernstein-Eliav; Dana Gamzo; Maya Schmeidler; Niv Tik; Ido Tavor – Anatomical Sciences Education, 2024
Anatomy studies are an essential part of medical training. The study of neuroanatomy in particular presents students with a unique challenge of three-dimensional spatial understanding. Virtual Reality (VR) has been suggested to address this challenge, yet the majority of previous reports have implemented computer-generated or imaging-based models…
Descriptors: Anatomy, Neurology, Electronic Learning, Computer Simulation
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Chu, Man-Wai; Leighton, Jacqueline P. – Journal of Science Education and Technology, 2019
Digitally simulated laboratory assessments (DSLAs) may be used to measure competencies such as problem solving and scientific inquiry because they provide an environment that allows the process of learning to be captured. These assessments provide many benefits that are superior to traditional hands-on laboratory tasks; as such, it is important to…
Descriptors: Computer Simulation, Science Laboratories, Formative Evaluation, Feedback (Response)
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Villanueva, Ana; Liu, Ziyi; Kitaguchi, Yoshimasa; Zhu, Zhengzhe; Peppler, Kylie; Redick, Thomas; Ramani, Karthik – International Journal of Educational Technology in Higher Education, 2021
Augmented reality (AR) is a unique, hands-on tool to deliver information. However, its educational value has been mainly demonstrated empirically so far. In this paper, we present a modeling approach to provide users with mastery of a skill, using AR learning content to implement an educational curriculum. We illustrate the potential of this…
Descriptors: Simulated Environment, Experiential Learning, Mastery Learning, Curriculum Implementation
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Lincoln, James – Physics Teacher, 2018
Astro Reality's Lunar Pro is a highly detailed Moon model that allows users to learn historical and astronomical facts through an augmented reality app. But even just holding this 12-cm diameter Moon in your hand is already an engaging experience. The terrain details are to a very high resolution and were created authentically using Lunar…
Descriptors: Astronomy, Models, Computer Oriented Programs, Simulated Environment
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Stevens, Vance – TESL-EJ, 2021
With the onset of COVID-19 and the continuing need to move both teaching and professional encounters online, novel approaches providing effective ways of doing both are gaining increasing attention. There was of course considerable work being done in virtual worlds long before COVID-19 became a factor, but now that it is becoming the norm for…
Descriptors: Conferences (Gatherings), Virtual Classrooms, Videoconferencing, Computer Mediated Communication
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See, Zi Siang; Ledger, Susan; Goodman, Lizbeth L.; Matthews, Benjamin; Jones, Donovan; Fealy, Shanna; Ooi, Wooi Har; Amin, Manisha – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: This paper describes a technologies education model for introducing Simulation Learning and Extended Reality (XR) solution creation skills and knowledge to students at the tertiary education level, which is broadly applicable to higher education-based contexts of teaching and learning. Background: This work is made possible via the…
Descriptors: Technology Education, College Students, Models, Educational Technology
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Levy, Sharona T.; Peleg, Ran; Ofeck, Eyal; Tabor, Naamit; Dubovi, Ilana; Bluestein, Shiri; Ben-Zur, Hadar – Instructional Science: An International Journal of the Learning Sciences, 2018
We propose and evaluate a framework supporting collaborative discovery learning of complex systems. The framework blends five design principles: (1) individual action: amidst (2) social interactions; challenged with (3) multiple tasks; set in (4) a constrained interactive learning environment that draws attention to (5) highlighted target…
Descriptors: Traffic Safety, Discovery Learning, Simulation, Simulated Environment
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Hoernle, Nicholas; Gal, Kobi; Grosz, Barbara; Protopapas, Pavlos; Rubin, Andee – International Educational Data Mining Society, 2018
Simulations that combine real world components with interactive digital media provide a rich setting for students with the potential to assist knowledge building and understanding of complex physical processes. This paper addresses the problem of modeling the effects of multiple students' simultaneous interactions on the complex and exploratory…
Descriptors: Computer Simulation, Student Behavior, Interaction, Markov Processes
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Jacobs, Rick R.; Griswold, Kaytlynn R.; Swigart, Kristen L.; Loviscky, Greg E.; Heinen, Rachel L. – Journal of the National Collegiate Honors Council, 2018
Honors graduates have much to learn when transitioning into their first position after college. For instance, workplaces have an entirely different culture and set of expectations from undergraduate honors classrooms. Furthermore, the skills they need to become successful employees or graduate students are different from those required of…
Descriptors: Honors Curriculum, Employment Qualifications, Communication Skills, Work Environment
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Ibili, Emin; Resnyansky, Dmitry; Billinghurst, Mark – Education and Information Technologies, 2019
This paper examines mathematics teachers' level of acceptance and intention to use the Augmented Reality Geometry Tutorial System (ARGTS), a mobile Augmented Reality (AR) application developed to enhance students' 3D geometric thinking skills. ARGTS was shared with mathematics teachers, who were then surveyed using the Technology Acceptance Model…
Descriptors: Mathematics Teachers, Mathematics Instruction, Teacher Attitudes, Simulated Environment
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