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