DocumentCode :
2826662
Title :
Conditional IMS Learning Design Generation Using User Modeling and Planning Techniques
Author :
Hernandez, Jaime ; Baldiris, Silvia ; Santos, Olga C. ; Fabregat, Ramón ; Boticario, Jesus G.
Author_Institution :
Syst. Eng. Program, Corp. Univ. de la Costa, Colombia
fYear :
2009
fDate :
15-17 July 2009
Firstpage :
228
Lastpage :
232
Abstract :
Active modeling is required in learning settings to cope with the dynamic evolution of the knowledge, since learners competences evolves over time as they participate in the course activities. Moreover, one of the main issues in a competence based eLearning process is to deliver personalized instructional designs adjusted to both 1) intrinsic characteristics of users (i.e. learning styles) and 2) the desired and achieved competences in the learning process (i.e. specific and generic competences). This delivery includes the adaptation of the content and the activities in a learning scenario based on a dynamic user model that evolves according to user interactions. In this paper, an approach to support Conditional Plans Generation (IMS Learning Designs) in the context of a virtual learning environment is presented. The process is supported by a pervasive usage of standards and specifications (IMS family of specifications) in conjunction with an integral user modeling.
Keywords :
computer aided instruction; user modelling; IMS learning designs; active modeling; competence based eLearning process; conditional IMS learning design generation; conditional plans generation; course activities; dynamic evolution; dynamic user model; integral user modeling; learning process; learning scenario; personalized instructional design; pervasive usage; user interaction; user planning; virtual learning environment; Artificial intelligence; Computer science; Design engineering; Informatics; Knowledge engineering; Learning; Monitoring; Process planning; Systems engineering and theory; Technology planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2009. ICALT 2009. Ninth IEEE International Conference on
Conference_Location :
Riga
Print_ISBN :
978-0-7695-3711-5
Electronic_ISBN :
978-0-7695-3711-5
Type :
conf
DOI :
10.1109/ICALT.2009.185
Filename :
5194210
Link To Document :
بازگشت