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Showing 1 to 15 of 34 results Save | Export
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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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Tracy Bobko; Mikiko Corsette; Minjuan Wang; Erin Springer – IEEE Transactions on Learning Technologies, 2024
This article discusses the transformative impact of technology on knowledge acquisition and sharing, focusing on the emergence of the metaverse as a virtual community with vast potential for virtual learning. Learning in the metaverse is found to enhance engagement, motivation, and retention, while fostering 21st-century skills. It also offers…
Descriptors: Educational Innovation, Computer Simulation, Technology Uses in Education, Models
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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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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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Goksu, Idris; Islam Bolat, Yusuf – Review of Education, 2021
In this meta-analysis, the aim is to determine the overall effect of the ARCS (attention, relevance, confidence, satisfaction) model of motivation on students' academic achievement, motivation, attention, relevance, confidence and satisfaction. Additionally, the effect of the model is analysed according to the learning environment in which the…
Descriptors: Models, Student Motivation, Academic Achievement, Attention
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Fratamico, Lauren; Conati, Cristina; Kardan, Samad; Roll, Ido – International Journal of Artificial Intelligence in Education, 2017
Interactive simulations can facilitate inquiry learning. However, similarly to other Exploratory Learning Environments, students may not always learn effectively in these unstructured environments. Thus, providing adaptive support has great potential to help improve student learning with these rich activities. Providing adaptive support requires a…
Descriptors: Computer Simulation, Models, Educational Environment, Comparative Analysis
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Cocea, Mihaela; Magoulas, George D. – IEEE Transactions on Learning Technologies, 2017
Exploratory learning environments (ELEs) promote a view of learning that encourages students to construct and/or explore models and observe the effects of modifying their parameters. The freedom given to learners in this exploration context leads to a variety of learner approaches for constructing models and makes modelling of learner behavior a…
Descriptors: Generalization, Mathematics Instruction, Computer Simulation, Discovery Learning
Orhan, Sevil; Karaman, M. Kemal – International Association for Development of the Information Society, 2014
Specifically Second Life (SL) among virtual worlds draws attention of researchers to form collaborative learning environments (Sutcliffe & Alrayes, 2012) since it could be used as a rich platform to simulate a real environment containing many collaborative learning characteristics and interaction tools within itself. Five Stage Model (FSM)…
Descriptors: Computer Simulation, Simulated Environment, Cooperative Learning, Educational Environment
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Chickerur, Satyadhyan; Joshi, Kartik – British Journal of Educational Technology, 2015
Emotion detection using facial images is a technique that researchers have been using for the last two decades to try to analyze a person's emotional state given his/her image. Detection of various kinds of emotion using facial expressions of students in educational environment is useful in providing insight into the effectiveness of tutoring…
Descriptors: Nonverbal Communication, Psychological Patterns, Recognition (Psychology), Computer Simulation
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Andrade, Alejandro; Danish, Joshua A.; Maltese, Adam V. – Journal of Learning Analytics, 2017
Interactive learning environments with body-centric technologies lie at the intersection of the design of embodied learning activities and multimodal learning analytics. Sensing technologies can generate large amounts of fine-grained data automatically captured from student movements. Researchers can use these fine-grained data to create a…
Descriptors: Measurement, Interaction, Models, Educational Environment
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Hsiao, Indy Y. T.; Yang, Stephen J. H.; Chia-Jui, Chu – Educational Technology Research and Development, 2015
French is the ninth most widely used language globally, but French-learning environments in Taiwan have been insufficient. Language acquisition is easier in a natural setting, and so such a setting should be available to language learners wherever possible. This study aimed to (1) create an authentic environment for learning French in Second Life…
Descriptors: French, Models, Language Acquisition, Educational Environment
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Johnson, Mark William; Sherlock, David – Interactive Learning Environments, 2014
The Personal Learning Environment (PLE) has been presented in a number of guises over a period of 10 years as an intervention which seeks the reorganisation of educational technology through shifting the "locus of control" of technology towards the learner. In the intervening period to the present, a number of initiatives have attempted…
Descriptors: Educational Environment, Intervention, Educational Technology, Locus of Control
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Muñoz-Cristóbal, Juan A.; Prieto, Luis P.; Asensio-Pérez, Juan I.; Martínez-Monés, Alejandra; Jorrín-Abellán, Iván M.; Dimitriadis, Yannis – Educational Technology & Society, 2015
Different approaches have explored how to provide seamless learning across multiple ICT-enabled physical and virtual spaces, including three-dimensional virtual worlds (3DVW). However, these approaches present limitations that may reduce their acceptance in authentic educational practice: The difficulties of authoring and sharing teacher-created…
Descriptors: Educational Technology, Computer Simulation, Simulated Environment, Technology Integration
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Hesketh, Beryl; Griffin, Barbara; Loh, Vanessa – Journal of Vocational Behavior, 2011
This theoretical paper presents a person-environment fit framework that extends the Minnesota Theory of Work Adjustment to retirement transition and adjustment. The proposed Retirement Transition and Adjustment Framework (RTAF) also accommodates dynamic intra-individual and environment change over time, configural combinations of variables, and an…
Descriptors: Retirement, Computer Simulation, Vocational Adjustment, Information Technology
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Newell, Markeda – Journal of Educational & Psychological Consultation, 2010
The purpose of this study was to examine how school psychologists implemented the problem-solving consultation process within a computer-simulated school environment. Four school psychologists were recruited to complete three simulated consultation cases. The school environment was computer generated and all of the teachers and target students…
Descriptors: School Psychologists, Problem Solving, Computer Simulation, Data Analysis
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