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Showing 1 to 15 of 66 results Save | Export
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Lui, Michelle; Chong, Kit-Ying Angela; Mullally, Martha; McEwen, Rhonda – International Journal of Computer-Supported Collaborative Learning, 2023
This paper explores the affordances of virtual reality (VR) simulations for facilitated model-based reasoning. Thirty-four undergraduate students engaged with simulated scientific models in head-mounted displays and their facilitator in a co-located mixed-presence configuration. We coded the facilitator--participant interactions using the…
Descriptors: Computer Simulation, Simulation, Thinking Skills, Affordances
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Gonczi, Amanda; Palosaari, Chuck; Mayer, Alex; Urban, Noel – Science Teacher, 2022
Computational modeling and thinking skill sets were previously relegated to computer scientists and programmers. As a result, computational tools are largely unfamiliar to K-12 science teachers and students. Using Mathematical and Computational Thinking and Developing and Using Models were included in the "Next Generation Science…
Descriptors: Learning Activities, High School Students, STEM Education, Computation
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Jin Wei-Kocsis; Moein Sabounchi; Gihan J. Mendis; Praveen Fernando; Baijian Yang; Tonglin Zhang – IEEE Transactions on Education, 2024
Contribution: A novel proactive and collaborative learning paradigm was proposed to engage learners with different backgrounds and enable effective retention and transfer of the multidisciplinary artificial intelligence (AI)-cybersecurity knowledge. Specifically, the proposed learning paradigm contains: 1) an immersive learning environment to…
Descriptors: Computer Security, Artificial Intelligence, Interdisciplinary Approach, Models
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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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Al-Olimat, Khalid S. – IEEE Transactions on Education, 2022
Contribution: Project-based learning is a widely used learning approach that has proven itself effective in engineering education. This article describes a generalized model to teach undergraduate students the concepts of dc electric motors using project-based learning through a complete module that consists of modeling and simulation, and…
Descriptors: Engineering Education, Active Learning, Student Projects, Models
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MacLellan, Christopher J.; Gupta, Adit – International Educational Data Mining Society, 2021
There has been great progress towards Reinforcement Learning (RL) approaches that can achieve expert performance across a wide range of domains. However, researchers have not yet applied these models to learn expert models for educationally relevant tasks, such as those taught within tutoring systems and educational games. In this paper we explore…
Descriptors: Models, Learning Activities, Relevance (Education), Reinforcement
Jared Phelps Canright – ProQuest LLC, 2023
The creation of new knowledge in the form of scientific models is a cornerstone of the process of science. In physics laboratory instruction, students are very often stuck in a confirmatory mindset; they have been conditioned to believe that the role of experimentation in the classroom and in the world is to verify known facts. This mindset is…
Descriptors: Novelty (Stimulus Dimension), Physics, Models, Scientific Concepts
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Mohammed Jebbari; Bouchaib Cherradi; Soufiane Hamida; Abdelhadi Raihani – Education and Information Technologies, 2024
With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid development in recent years. This demand was especially evident during the COVID-19 pandemic. The incorporation of new technologies in VLEs provides new opportunities to better understand the behaviors of…
Descriptors: MOOCs, Algorithms, Computer Simulation, COVID-19
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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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Özdemir, Erdogan; Coramik, Mustafa – Physics Education, 2022
It is often necessary to enrich the teaching environment in order for students to learn optics in depth and to interpret the real optical situations with the information they have learned. In this study, a virtual teaching environment was developed using by Algodoo, a 2D simulation software. An eye model was created in order to explain the…
Descriptors: Light, Physics, Teaching Methods, Models
Lyniesha Chanell Wright – ProQuest LLC, 2020
Effectively mastering organic chemistry means having the ability to recognize structural patterns, identify properties or behaviors as a result of patterns, manipulate and transform representations, and predict future outcomes. Often students rely on rote memorization of seemingly disconnected information instead of developing a sound…
Descriptors: Organic Chemistry, Science Instruction, Visualization, Models
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Putranta, Himawan; Jumadi; Wilujeng, Insith – Asia-Pacific Forum on Science Learning and Teaching, 2019
This research aims were to: (1) produce a PhET simulation-based learning device that who being used in physics learning activities by using Problem Based Learning (PBL) model to improve critical thinking skills of students MAN 3 Sleman in chapter work and energy, (2) knowing the effectiveness of learning medium in the form of PhET simulation in…
Descriptors: Physics, Science Instruction, Problem Based Learning, Critical Thinking
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Ginovart, Marta – Journal of Science Education and Technology, 2014
The general aim is to promote the use of individual-based models (biological agent-based models) in teaching and learning contexts in life sciences and to make their progressive incorporation into academic curricula easier, complementing other existing modelling strategies more frequently used in the classroom. Modelling activities for the study…
Descriptors: Undergraduate Students, Undergraduate Study, Biological Sciences, Animals
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Selvarajah, Geeta; Selvarajah, Susila – Biochemistry and Molecular Biology Education, 2016
Students frequently expressed difficulty in understanding the molecular mechanisms involved in chromosomal recombination. Therefore, we explored alternative methods for presenting the two concepts of the double-strand break model: Holliday junction and heteroduplex formation, and Holliday junction resolution. In addition to a lecture and…
Descriptors: Genetics, Molecular Structure, Scientific Concepts, Models
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Clement, Benjamin; Roy, Didier; Oudeyer, Pierre-Yves; Lopes, Manuel – Journal of Educational Data Mining, 2015
We present an approach to Intelligent Tutoring Systems which adaptively personalizes sequences of learning activities to maximize skills acquired by students, taking into account the limited time and motivational resources. At a given point in time, the system proposes to the students the activity which makes them progress faster. We introduce two…
Descriptors: Learning Activities, Intelligent Tutoring Systems, Models, Teaching Methods
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