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Serious games in 2025 : towards intelligent learning in Virtual Worlds

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SG2025_ILRN2016.pdf (121.8Kb)
Date
01/07/2016
Author
Duncan, Ishbel Mary Macdonald
Fabola, Adeola Ezekiel
Miller, Alan Henry David
Keywords
Serious Games, AI, Game Based Learning; Virtual Worlds
AI
Game based learning
Virtual Worlds
LB2300 Higher Education
QA75 Electronic computers. Computer science
Computer Science(all)
Education
NDAS
Metadata
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Abstract
This paper outlines the current state of learning, the problems arising and research needed by developers and educators using Virtual Worlds as an intelligent learning environment. Artificially intelligent avatars are required for virtual on-line problem and case based learning. However, the use of AI requires supportive frameworks, models and both staff and student goals. Natural simulations and avatar interactions are all part of the learning environment but realism, student paced learning, adaptive goals, natural language interaction, feedback and assessment are active goals for the next decade of virtual education research.
Citation
Duncan , I M M , Fabola , A E & Miller , A H D 2016 , Serious games in 2025 : towards intelligent learning in Virtual Worlds . in C Allison , L Morgado , J Pirker , D Beck , J Richter & C Gütl (eds) , Workshop, Short Paper and Poster Proceedings from the Second Immersive Learning Research Network Conference (iLRN 2016 Santa Barbara) . 2nd edn , Verlag der Technischen Universität Graz , pp. 129-136 , iLRN 2016 Conference , Santa Barbara , United States , 27/06/16 . https://doi.org/10.3217/978-3-85125-472-3
 
conference
 
Publication
Workshop, Short Paper and Poster Proceedings from the Second Immersive Learning Research Network Conference (iLRN 2016 Santa Barbara)
DOI
https://doi.org/10.3217/978-3-85125-472-3
Type
Conference item
Rights
© 2016, IOS Press / the Author(s). This work is made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at ebooks.iospress.nl
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  • University of St Andrews Research
URL
http://castor.tugraz.at/doku/iLRN2016/iLRN2016OnlineProceedings.pdf
URI
http://hdl.handle.net/10023/8885

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