DocumentCode :
2079083
Title :
Modeling Adaptive Situations According with Context and Learning Scenarios
Author :
Pernas, Ana Marilza ; De Oliveira, José Palazzo M ; Bouzeghoub, Amel
Author_Institution :
Inst. de Inf., Univ. Fed. do Rio Grande do Sul, Porto Alegre, Brazil
fYear :
2010
fDate :
5-7 July 2010
Firstpage :
435
Lastpage :
437
Abstract :
This paper presents an architecture to transform an existent e-learning environment in a situation-aware environment, bringing the concepts of context awareness, situation and scenario to this environment. For a specific scenario, ontologies may be employed to represent the knowledge that the system has on the domain to be studied, on the situation where the study is being performed and also based in the student profile. In this sense, we present an alternative to transform the vision of situation-awareness in a daily reality, automatically defining the student situation and recommending adaptive actions.
Keywords :
learning (artificial intelligence); ontologies (artificial intelligence); ubiquitous computing; context awareness; e-learning environment; modeling adaptive situations; ontologies; situation-aware environment; Adaptation model; Cognition; Computational modeling; Context; Context modeling; Electronic learning; Servers; Context; Ontologies; Scenarios; Situations; e-Learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies (ICALT), 2010 IEEE 10th International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4244-7144-7
Type :
conf
DOI :
10.1109/ICALT.2010.126
Filename :
5572348
Link To Document :
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