DocumentCode
1362082
Title
Annie: Automated Generation of Adaptive Learner Guidance for Fun Serious Games
Author
Thomas, James M. ; Young, R. Michael
Author_Institution
Dept. of Comput. Sci., North Carolina State Univ., Raleigh, NC, USA
Volume
3
Issue
4
fYear
2010
Firstpage
329
Lastpage
343
Abstract
This paper describes some of the difficulties inherent in building intelligent educational games, specifically the challenge of integrating pedagogy with core game play. We introduce a plan-based knowledge representation that provides a novel framework for infusing the core mechanics of a game with pedagogical content. We describe, in detail, a system that leverages this framework to dynamically adapt a game to individual learners at runtime.
Keywords
computer aided instruction; computer games; adaptive learner guidance; automated generation; fun serious games; intelligent educational games; pedagogy; plan-based knowledge representation; Adaptation model; Artificial intelligence; Computational modeling; Computer aided instruction; Games; Knowledge representation; Artificial intelligence; computer-managed instruction.; games; intelligent tutoring; plan generation;
fLanguage
English
Journal_Title
Learning Technologies, IEEE Transactions on
Publisher
ieee
ISSN
1939-1382
Type
jour
DOI
10.1109/TLT.2010.32
Filename
5611478
Link To Document