DocumentCode :
2087856
Title :
Improving Learners´ Satisfaction in Specification-Based Scenarios with Dynamic Inclusive Support
Author :
Santos, Olga C. ; Boticario, Jesus G.
Author_Institution :
Dept. of Artificial Intell., Univ. Nac. de Educ. a Distancia, Madrid
fYear :
2008
fDate :
1-5 July 2008
Firstpage :
491
Lastpage :
495
Abstract :
The technology is expected to attend the learning needs of the students in a personalized and inclusive way. Our approach relies on combining design and runtime adaptations for all with a pervasive use of standards and specifications. However, there is currently insufficient support provided by the specifications. For this reason, we propose a multi-agent architecture to produce dynamic recommendations that complements limitations of the universal design approach. Evaluations with users justify the need of this support.
Keywords :
computer aided instruction; multi-agent systems; dynamic inclusive support; dynamic recommendations; learner satisfaction; learning needs; multiagent architecture; specification-based scenarios; Artificial intelligence; Computer science; Data mining; Education; Educational programs; Europe; Guidelines; Helium; Learning; Runtime; adaptation; inclusive learning; recommending systems; standards and specifications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on
Conference_Location :
Santander, Cantabria
Print_ISBN :
978-0-7695-3167-0
Type :
conf
DOI :
10.1109/ICALT.2008.101
Filename :
4561746
Link To Document :
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