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Automated Adaptation and Assessment in Serious Games: A Portable Tool for Supporting Learning

Authors :
Nyamsuren, E.
van der Vegt, G.W.
Westera, W.
Winands, Mark
van den Herik, H. Jaap
Kosters, Walter
RS-Theme Applied Gaming and Simulation
Department FEEEL
Rage project
RS-Research Line Fostering Effective, Efficient and Enjoyable Learning (FEEEL) (part of WO program)
Winands, Mark
van den Herik, H. Jaap
Kosters, Walter
Source :
Lecture Notes in Computer Science ISBN: 9783319716480, ACG, Advances in Computer Games. ACG 2017: 15th International Conferences, ACG 2017, Leiden, The Netherlands, July 3–5, 2017, Revised Selected Papers, 201-212, ISSUE=1;STARTPAGE=201;ENDPAGE=212;TITLE=Advances in Computer Games. ACG 2017, Nyamsuren, E, van der Vegt, G W & Westera, W 2017, Automated Adaptation and Assessment in Serious Games: a Portable Tool for Supporting Learning . in M Winands, H J van den Herik & W Kosters (eds), Advances in Computer Games. ACG 2017 : 15th International Conferences, ACG 2017, Leiden, The Netherlands, July 3–5, 2017, Revised Selected Papers . 1 edn, Springer International Publishing AG, Cham, Lecture Notes in Computer Science, vol. 10664, pp. 201-212, Fifteenth International Conference on Advances in Computer Games, Leiden, Netherlands, 3/07/17 . https://doi.org/10.1007/978-3-319-71649-7_17
Publication Year :
2017
Publisher :
Springer International Publishing, 2017.

Abstract

We introduce the Adaptation and Assessment (TwoA) component, an open-source tool for serious games, capable of adjusting game difficulty to player skill level. Technically, TwoA is compliant with the RAGE (Horizon 2020) game component architecture, which offers seamless portability to a variety of popular game development platforms. Conceptually, TwoA uses a modified version of the Computer Adaptive Practice algorithm. Our version offers two improvements over the original algorithm. First, the TwoA improves balancing of player's motivation and game challenge. Second, TwoA reduces the selection bias that may arise for items of similar difficulty by adopting a fuzzy selection rule. These improvements are validated using multi-agent simulations.

Details

ISBN :
978-3-319-71648-0
ISBNs :
9783319716480
Database :
OpenAIRE
Journal :
Lecture Notes in Computer Science ISBN: 9783319716480, ACG, Advances in Computer Games. ACG 2017: 15th International Conferences, ACG 2017, Leiden, The Netherlands, July 3–5, 2017, Revised Selected Papers, 201-212, ISSUE=1;STARTPAGE=201;ENDPAGE=212;TITLE=Advances in Computer Games. ACG 2017, Nyamsuren, E, van der Vegt, G W & Westera, W 2017, Automated Adaptation and Assessment in Serious Games: a Portable Tool for Supporting Learning . in M Winands, H J van den Herik & W Kosters (eds), Advances in Computer Games. ACG 2017 : 15th International Conferences, ACG 2017, Leiden, The Netherlands, July 3–5, 2017, Revised Selected Papers . 1 edn, Springer International Publishing AG, Cham, Lecture Notes in Computer Science, vol. 10664, pp. 201-212, Fifteenth International Conference on Advances in Computer Games, Leiden, Netherlands, 3/07/17 . https://doi.org/10.1007/978-3-319-71649-7_17
Accession number :
edsair.doi.dedup.....c1ffc6f0cd6b7f27beac6faade8816ca
Full Text :
https://doi.org/10.1007/978-3-319-71649-7_17