Annie: Automated Generation of Adaptive Learner Guidance for Fun Serious Games
| Autor: | James M. Thomas, R M Young |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Game mechanics
Multimedia Knowledge representation and reasoning Computer science ComputingMilieux_PERSONALCOMPUTING General Engineering Plan (drawing) Game play computer.software_genre Computer Science Applications Education Core (game theory) Game design Computer managed instruction ComputingMilieux_COMPUTERSANDEDUCATION Computer aided instruction computer |
| Zdroj: | IEEE Transactions on Learning Technologies. 3:329-343 |
| ISSN: | 1939-1382 |
| DOI: | 10.1109/tlt.2010.32 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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