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Showing 1 to 15 of 21 results Save | Export
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Fabian Arlt; Hans-Jürgen Arlt – SpringerBriefs in Education, 2023
This interesting book discusses why, as an activity, topic and metaphor, play and game have become an integral part of modern life. Empirically exemplary and theoretically grounded, this book discusses the developments and expansions in gaming, from easily accessible casual games to the galaxy-spanning gaming worlds of Massively Multiplayer Online…
Descriptors: Gamification, Video Games, Computer Games, Artificial Intelligence
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Ravyse, Werner Siegfried; Blugnaut, A. Seugnet; Botha-Ravyse, Chrisna R. – International Journal of Game-Based Learning, 2020
This study aimed to identify and rank the serious game fidelity themes that should be considered for retaining both the learning potential and predicted market growth of serious games. The authors also investigated existing links between fidelity and AI. The methodology unraveled serious game fidelity through the co-development of a theory- and…
Descriptors: Fidelity, Artificial Intelligence, Educational Games, Computer Games
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Omid Noroozi – International Journal of Technology in Education, 2025
The world currently grapples with ambiguity and uncertainty, facing ongoing challenges that span various aspects of life, from economic fluctuations and political instability to environmental crises and technological advancements. Confronting such ambiguity and uncertainty highlights the critical importance of equipping learners with…
Descriptors: Transformative Learning, Technology Uses in Education, Scaffolding (Teaching Technique), Computer Games
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Ju, Song; Zhou, Guojing; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2020
Identifying critical decisions is one of the most challenging decision-making problems in real-world applications. In this work, we propose a novel Reinforcement Learning (RL) based Long-Short Term Rewards (LSTR) framework for critical decisions identification. RL is a machine learning area concerning with inducing effective decision-making…
Descriptors: Decision Making, Reinforcement, Artificial Intelligence, Man Machine Systems
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Robert Jesiolowski; Monique Jesiolowski – International Society for Technology, Education, and Science, 2023
Today more than ever before, we have access to new technologies which provide unforeseen opportunities for educators to pursue new innovations in online education. Pursuing innovation is a complex process! It starts with an idea, but that needs to be coupled with the right team of experts willing to take big risks and put in the hard work to build…
Descriptors: Game Based Learning, Computer Games, Educational Games, Artificial Intelligence
Zhenzhen Qi – ProQuest LLC, 2023
In the age of computing, we rely on software to manage our days, from the moment we wake up until we go to sleep. Software predicts the future based on actualized data from the past. It produces procedures instead of experiences and solutions instead of care. Software systems tend to perpetuate a normalized state of equilibrium. Their application…
Descriptors: Computer Simulation, Video Games, Visual Aids, Computer Games
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Motejlek, Jiri; Alpay, Esat – IEEE Transactions on Learning Technologies, 2021
This article presents and analyzes existing taxonomies of virtual and augmented reality and demonstrates knowledge gaps and mixed terminology, which may cause confusion among educators, researchers, and developers. Several such occasions of confusion are presented. A methodology is then presented to construct a taxonomy of virtual reality and…
Descriptors: Taxonomy, Teaching Methods, Artificial Intelligence, Educational Objectives
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Lee, JiHye; Lee, Hyun-Kyung; Jeong, Dabin; Lee, JiEun; Kim, TaeRyun; Lee, JiHyon – International Journal of Art & Design Education, 2021
Traditional museums of culture and history are failing to develop or make effective use of augmented reality (AR) technology. To address this deficit, the present study sought to develop online and offline experiential AR learning tools that would enable children to more fully explore museum artefacts. The study approach was based on the Blended…
Descriptors: Museums, Cultural Education, Computer Simulation, History Instruction
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Terzidou, Theodouli; Tsiatsos, Thrasyvoulos; Miliou, Christina; Sourvinou, Athanasia – IEEE Transactions on Learning Technologies, 2016
This study proposes and applies a novel concept for an AI enhanced serious game collaborative environment as a supplementary learning tool in tertiary education. It is based on previous research that investigated pedagogical agents for a serious game in the OpenSim environment. The proposed AI features to support the serious game are the…
Descriptors: Educational Games, Computer Games, Artificial Intelligence, Student Attitudes
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Zheng, Dongping; Bischoff, Michael; Gilliland, Betsy – Educational Technology Research and Development, 2015
Drawing on ecological and dialogical perspectives on language and cognition, this exploratory case study examines how vocabulary learning occurs during a quest-play mediated in English between a Japanese undergraduate student and a native speaker of English. Understanding embodiment as coaction between the player-avatar and player-player relations…
Descriptors: Vocabulary Development, Computer Games, Context Effect, Undergraduate Students
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Leung, Steve; Virwaney, Sandeep; Lin, Fuhua; Armstrong, AJ; Dubbelboer, Adien – International Journal of Distance Education Technologies, 2013
Building pedagogical applications in virtual worlds is a multi-disciplinary endeavor that involves learning theories, application development framework, and mediated communication theories. This paper presents a project that integrates game-based learning, multi-agent system architecture (MAS), and the theory of Transformed Social Interaction…
Descriptors: Educational Games, Interaction, Computer Simulation, Teaching Methods
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Cope, Bill; Kalantzis, Mary – Open Review of Educational Research, 2015
This article sets out to explore a shift in the sources of evidence-of-learning in the era of networked computing. One of the key features of recent developments has been popularly characterized as "big data". We begin by examining, in general terms, the frame of reference of contemporary debates on machine intelligence and the role of…
Descriptors: Data Analysis, Evidence, Computer Uses in Education, Artificial Intelligence
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Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed.; Kommers, Piet, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2017
These proceedings contain the papers of the International Conference e-Learning 2017, which was organised by the International Association for Development of the Information Society, 20-22 July, 2017. This conference is part of the Multi Conference on Computer Science and Information Systems 2017, 20-23 July, which had a total of 652 submissions.…
Descriptors: Electronic Learning, Online Courses, Teaching Methods, Information Literacy
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Kumar, R.; Rose, C. P. – IEEE Transactions on Learning Technologies, 2011
Tutorial Dialog Systems that employ Conversational Agents (CAs) to deliver instructional content to learners in one-on-one tutoring settings have been shown to be effective in multiple learning domains by multiple research groups. Our work focuses on extending this successful learning technology to collaborative learning settings involving two or…
Descriptors: Educational Technology, Computer Software, Computer Software Evaluation, Programming
Durlach, Paula J., Ed; Lesgold, Alan M., Ed. – Cambridge University Press, 2012
This edited volume provides an overview of the latest advancements in adaptive training technology. Intelligent tutoring has been deployed for well-defined and relatively static educational domains such as algebra and geometry. However, this adaptive approach to computer-based training has yet to come into wider usage for domains that are less…
Descriptors: Expertise, Educational Strategies, Semantics, Intelligent Tutoring Systems
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