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Showing 1 to 15 of 41 results Save | Export
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Song, Yanjie; Cao, Jiaxin; Wu, Kaiyi; Yu, Philip Leung Ho; Lee, John Chi-Kin – IEEE Transactions on Learning Technologies, 2023
Despite the metaverse having been increasingly designed, developed, and applied to education, critical issues regarding the lack of truly immersive learning environments, custom tools, clear instructional design, and inconvenience of using the platform, and ethics and privacy concerns exist. This study aimed to design and develop a 3-D metaverse…
Descriptors: Computer Simulation, Computer Uses in Education, Cognitive Processes, Assistive Technology
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Seok-Hyun Ga; Changmi Park; Hyun-Jung Cha; Chan-Jong Kim – IEEE Transactions on Learning Technologies, 2024
Data collection is crucial in securing evidence to support students' arguments during scientific inquiries. However, due to the high costs associated with equipping schools with various measurement devices, students are limited in the scope of their scientific inquiry. Arduino can be proposed as a solution to the lack of measurement devices in…
Descriptors: Science Teachers, Barriers, Difficulty Level, Educational Technology
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Tian, Feng; Zou, Jiahui; Li, Keying; Li, Yuzhi – IEEE Transactions on Learning Technologies, 2023
There are a large number of Chinese Kung Fu enthusiasts worldwide. Offline learning has been the primary method for teaching and learning Chinese Kung Fu due to the inability of online 2-D videos to convey spatial information and provide feedback. To address the issues of the high cost of offline teaching, fixed perspectives in 2-D videos, lack of…
Descriptors: Computer Simulation, Computer Uses in Education, Athletics, Physical Activities
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Kangkang Li; Qian Yang; Xianmin Yang – IEEE Transactions on Learning Technologies, 2024
The student-generated question (SGQ) strategy is an effective instructional strategy for developing students' higher order cognitive and critical thinking. However, assessing the quality of SGQs is time consuming and domain experts intensive. Previous automatic evaluation work focused on surface-level features of questions. To overcome this…
Descriptors: Computer Simulation, Artificial Intelligence, Computer Assisted Testing, Automation
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Tian, Xuetao; Liu, Feng – IEEE Transactions on Learning Technologies, 2021
Massive open online courses (MOOCs) have been an important learning tool in education. In order to reduce the high dropout rate and improve learners' satisfactions, it is urgent for MOOCs platform to provide course recommendation and tutoring service. To achieve it, it is necessary to determine and trace learners' learning state. Cognitive…
Descriptors: Online Courses, Item Response Theory, Course Selection (Students), Artificial Intelligence
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Nuno Verdelho Trindade; Lidia Custodio; Alfredo Ferreira; Joao Madeiras Pereira – IEEE Transactions on Learning Technologies, 2024
Ray tracing is a computer graphics technique used to produce realistic visuals by physically simulating the behavior of light. Although this technique can be described straightforwardly, fully comprehending it might be challenging. It is typically taught in the classroom using the 2-D formats, such as paper or a blackboard. We propose using…
Descriptors: Computer Simulation, Computer Graphics, Visualization, Computer Assisted Instruction
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Own, Chung-Ming; Cai, Tingting; Hung, Cheng-Yu – IEEE Transactions on Learning Technologies, 2023
Studies have highlighted the possible advantages of tangible user interfaces (TUIs) over multitouch interfaces (MTIs) in preschool education; however, more objective evidence is required to establish the superiority of TUIs. In this article, we design a mathematical application called THE NUMBERS to compare preschool children's learning potential…
Descriptors: Preschool Children, Preschool Education, Computer Interfaces, Computer Uses in Education
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Bondaryk, Leslie G.; Hsi, Sherry; Van Doren, Seth – IEEE Transactions on Learning Technologies, 2021
Sensor systems have the potential to make abstract science phenomena concrete for K-12 students. Internet of Things (IoT) sensor systems provide a variety of benefits for modern classrooms, creating the opportunity for global data production, orienting learners to the opportunities and drawbacks of distributed sensor and control systems, and…
Descriptors: Internet, Systems Development, Computer Uses in Education, Secondary School Science
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Cakmak, Yusuf Ozgur; Daniel, Ben Kei; Hammer, Niels; Yilmaz, Onur; Irmak, Erdem Can; Khwaounjoo, Prashanna – IEEE Transactions on Learning Technologies, 2020
The perception of body ownership creates a sense of embodiment, which can be a powerful learning tool. Embodied learning can occur by watching an individual's body movement and also via human-computer interactions, such as virtual reality (VR) and augmented reality (AR). In this article, we designed and implemented a novel virtual body-ownership…
Descriptors: Medical Students, Medical Education, Human Body, Muscular Strength
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Cardoso, Josué; Caetano, Diego; Abreu, Raphael; Quadros, João; dos Santos, Joel; Ogasawara, Eduardo; Lignani, Leonardo – IEEE Transactions on Learning Technologies, 2020
This paper analyzes Sim-Evolution, an educational simulator designed to help teachers presenting three basic principles of the theory of evolution by natural selection (TENS): the trait variation within a population, the heritability of trait variation, and the selective survival based on heritable traits. Sim-Evolution focuses on high school…
Descriptors: Computer Simulation, Computer Uses in Education, Evolution, Science Instruction
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Krouska, Akrivi; Virvou, Maria – IEEE Transactions on Learning Technologies, 2020
Social networking-based learning (SN-learning) is one of the most promising innovations to promote learning via a social network, and thus, providing a more interactive, student-centered, cooperative, and on-demand environment. In such an environment, group formation plays an important role to the effectiveness of learning process. Adequate groups…
Descriptors: Social Networks, Cooperative Learning, Computer Uses in Education, Grouping (Instructional Purposes)
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de Lange, Peter; Goschlberger, Bernhard; Farrell, Tracie; Neumann, Alexander Tobias; Klamma, Ralf – IEEE Transactions on Learning Technologies, 2020
Learning in communities of practice (CoPs) makes up a significant portion of today's knowledge gain. However, only little technological support is tailored specifically toward CoPs and their particular strengths and challenges. Even worse, CoPs often do not possess the resources to host or develop a software ecosystem to support their activities.…
Descriptors: Communities of Practice, Computer Uses in Education, Learning, Computer System Design
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García-Magariño, Iván; Plaza, Inmaculada; Igual, Raúl; Lombas, Andrés S.; Jamali, Hana – IEEE Transactions on Learning Technologies, 2020
Most novice teachers and even some experienced teachers can lack appropriate tools for designing teaching strategies that ensure the quality of education. The ability of working in teams is crucial in educating professionals. The literature proves that social relations influence the performance of teams. For instance, the team cohesion is directly…
Descriptors: Computer Simulation, Group Unity, Teamwork, Group Dynamics
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Munoz-Merino, Pedro J.; Alario-Hoyos, Carlos; Munoz-Organero, Mario; Kloos, Carlos Delgado; Molina, Manuel Fernandez – IEEE Transactions on Learning Technologies, 2018
Educational computer-based competition environments need to be designed with a set of features that enhance the learning process. Although recently some frameworks for the design of educational computer-based systems (e.g., educational games) have been proposed, they do not focus on the details of the competition. Therefore, the design of…
Descriptors: Educational Environment, Computer Uses in Education, Competition, Computer Simulation
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Moyne, Martina M.; Herman, Maxwell; Gajos, Krzysztof Z.; Walsh, Conor J.; Holland, Donal P. – IEEE Transactions on Learning Technologies, 2018
This article describes the development of the Design Evaluation and Feedback Tool (DEFT), a custom-built web-based system that collects and reports data to support teaching, learning, and research in project-based engineering design education. The DEFT system collects data through short weekly questionnaires for students and instructors in…
Descriptors: Engineering Education, Design, Active Learning, Student Projects
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