DocumentCode :
3078456
Title :
Adaptive Serious Game for Rehabilitation of Persons with Cognitive Disabilities
Author :
Hussaan, Aarij Mahmood ; Sehaba, Karim
fYear :
2013
fDate :
15-18 July 2013
Firstpage :
65
Lastpage :
69
Abstract :
The task of generating personalized learning scenarios, in an automatic fashion, for learners is a complicated task. The difficulty is compounded when these scenarios are to be integrated within a serious game dedicated to people with disabilities. In this case, the specificities of the learner´s preferences and competencies should also be taken into account in addition to the learning domain and the serious game specificities. Building on our previous work, we present in this paper the platform GOALS. This platform allows educational designers to generate learning scenarios for learners, manage learning domain and serious game knowledge, as well as, the learners´ profiles. We also present two evaluations in the context of project CLES (Cognitive Linguistic Elements Stimulations). The objectives of these evaluations are to verify the functionality of GOALS, to verify the project CLES´s knowledge and to study the impact of the generated scenarios on the learning of real-world learners.
Keywords :
cognition; computer aided instruction; patient rehabilitation; serious games (computing); CLES project; GOALS functionality; GOALS platform; adaptive serious game; cognitive disable person rehabilitation; cognitive linguistic element stimulations; educational designers; learner competencies; learner preferences; learning domain; learning domain management; personalized learning scenarios; serious game knowledge; Adaptation models; Cognition; Context; Games; Generators; Protocols; Visualization; Adaptation; Disabilities; Learning Scenario; Online platform; Serious game;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/ICALT.2013.25
Filename :
6601868
Link To Document :
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