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Showing 1 to 15 of 52 results Save | Export
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Kongpha, Rattanakul; Chatwattana, Pinanta – Higher Education Studies, 2023
The virtual interactive learning model using imagineering process as a tool to promote happy learning for digital age learners. The concept is based on the combination of virtual learning environment and metaverse in order to create learning experience via virtual community. The objectives of this research are (1) to study and synthesise the…
Descriptors: Electronic Learning, Interaction, Computer Simulation, Instructional Development
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Jyoti Wadmare; Dakshita Kolte; Kapil Bhatia; Palak Desai; Ganesh Wadmare – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This paper highlights an innovative and impactful online operating system algorithms e-learning tool in engineering education. Background: Common teaching methodologies make it difficult to teach complex algorithms of operating systems. This paper presents a solution to this problem by providing simulations of different complex…
Descriptors: Engineering, Science Education, Material Development, Computer Simulation
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Ahmad Samed Al-Adwan; Mutaz M. Al-Debei – Education and Information Technologies, 2024
The interest in metaverse technology has risen notably in higher education learning contexts. Due to the global spread of the Covid-19 pandemic, higher education institutions are now increasingly emphasising online interactive learning. Higher education institutions are currently investigating the potential of metaverse technology to enhance…
Descriptors: Technology Uses in Education, Computer Simulation, Electronic Learning, Interaction
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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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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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Ferreira, Luis Gustavo; Barbosa, Jorge Luis Victória; Gluz, João Carlos; Matter, Vítor Kehl; Barbosa, Debora Nice Ferrari – International Journal of Information and Communication Technology Education, 2020
The application of ubiquitous technologies in the improvement of education strategies is called ubiquitous learning. This strategy amplifies the pedagogical potential of e-learning through a ubiquitous and contextualized perspective. On the other hand, a ubiquitous technological mediation in learning can also increase the isolation of learners and…
Descriptors: Educational Technology, Electronic Learning, Instructional Materials, Resource Units
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Zhang, Qiao; Maclellan, Christopher J. – International Educational Data Mining Society, 2021
Knowledge tracing algorithms are embedded in Intelligent Tutoring Systems (ITS) to keep track of students' learning process. While knowledge tracing models have been extensively studied in offline settings, very little work has explored their use in online settings. This is primarily because conducting experiments to evaluate and select knowledge…
Descriptors: Electronic Learning, Mastery Learning, Computer Simulation, Intelligent Tutoring Systems
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Rotkin, Vladimir; Yavich, Roman; Malev, Sergey – Journal of Education and e-Learning Research, 2018
An important feature of the currently used artificial intelligence systems is their anthropomorphism. The tool of inductive empirical systems is a neural network that simulates the human brain and operates in the "black box" mode. Deductive analytical systems for representation of knowledge use transparent formalized models and…
Descriptors: Artificial Intelligence, Simulation, Electronic Learning, Educational Technology
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Zagorskis, Viktors; Kapanieks, Atis; Gorbunovs, Aleksandrs; Kadakovska, Zane – International Association for Development of the Information Society, 2018
Complex mathematical approaches exist in biological, social, and educational sciences, creating models to understand and explain cognition processes in human brain. Yet, the logged raw data is just an initial learners' behavior footprint in Virtual Learning Environments. Exploratory Data analysis would help to deepen the understanding of cognition…
Descriptors: Learning Processes, Cognitive Ability, Electronic Learning, Brain
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Ion Razvan Radulescu; Antonio Dinis; Benny Malengier; Andrej Cupar; Mirela Blaga; Radek Polansky – International Association for Development of the Information Society, 2022
Industry 4.0 and digitization are nowadays important trends in the textile industry. The need for well-prepared professionals in software for the design and modelling of textile products requires the creation of up-to-date educational resources. Virtual learning supported by e-learning offers the instruments to continue education during pandemic…
Descriptors: Foreign Countries, Online Courses, Computer Software, Design
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Tamara Lynn; Shantel Farnan; Jessica A. Rueter; Adam Moore – Journal of Special Education Preparation, 2022
Small special education programs (SSEPs) are composed of limited faculty tasked with educating interns dispersed across large geographical areas (Reid, 1994). These needs underscore a call for more flexible educational program options. Moreover, Kebritchi et al. (2017) found professors in higher education institutions sought a variety of…
Descriptors: Field Experience Programs, Models, Coaching (Performance), Feedback (Response)
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Fernandes, Jacks; Teles, Ariel; Teixeira, Silmar – Education Sciences, 2020
Health education is one of the knowledge areas in which augmented reality (AR) technology is widespread, and it has been considered as a facilitator of the learning process. In literature, there are still few studies detailing the role of mobile AR in neuroanatomy. Specifically, for the spinal cord, the teaching-learning process may be hindered…
Descriptors: Health Education, Computer Simulation, Telecommunications, Handheld Devices
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Euphrasio, P. C. S.; Faria, L. A.; Germano, J. S. E.; Hirata, Daisy – IEEE Transactions on Education, 2020
This article describes the implementation of a remote access experiment, called Web-lab 1553B (Digital Data Bus Lab), for courses in the Avionics Systems Program. Its main objective is to present a study about the use of two rotation model subgroups: 1) rotation laboratory and 2) station rotation. In the "rotation laboratory" subgroup,…
Descriptors: Computer Simulation, Educational Technology, Electronic Learning, Teaching Methods
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Fernández-Díaz, Elia; Rodríguez-Hoyos, Carlos; Salvador, Adelina Calvo – International Review of Research in Open and Distributed Learning, 2017
This study has been carried out within the context of the ECO European Project (E-learning, Communication Open-Data: Massive Mobile, Ubiquitous, and Open Learning) which is being financed by the European Union over four years (2014-17). It analyses the pedagogic architecture of MOOC on pedagogic/educational subjects in Spanish over one academic…
Descriptors: Spanish, Qualitative Research, Video Technology, Questionnaires
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Karaman, M. Kemal; Özen, Sevil Orhan – Educational Technology & Society, 2016
In this study, we aimed to design collaborative virtual learning (CVL) activities by using a five-stage model (FSM) and survey of students' experiences. The study group consisted of 14 voluntary students in the Turkish Teaching Department. In this case study, data were collected through observations, recordings in Second Life (SL) and interviews.…
Descriptors: Student Experience, Student Surveys, Cooperative Learning, Electronic Learning
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