Title :
A conception for use of user profile to prediction learning effects in Intelligent Tutoring Systems
Author :
Kozierkiewicz-Hetmanska, Adrianna ; Bernacki, Jaroslaw
Author_Institution :
Dept. of Inf. Syst., Wroclaw Univ. of Technol., Wrocław, Poland
Abstract :
Intelligent Tutoring Systems (ITS) offer adaptivity to user abilities, personal character trait, learning styles and preferences. The user modelling is one of the major factors that can influence an adaptivity. The content and structure of user profile should allow to recommend learning material suitable for student´s needs. In this work a user profile is designed and a method for predicting learner´s abilities is proposed. We use a Naive Bayes classifier in order to predict student´s learning results. A prediction of user´s abilities could be very useful for determining an initial learning scenario or assigning a student to a suitable collaborative learning group.
Keywords :
Bayes methods; groupware; intelligent tutoring systems; pattern classification; ITS; collaborative learning group; initial learning scenario determination; intelligent tutoring systems; learning material; learning preferences; learning styles; naive Bayes classifier; personal character trait; prediction learning effects; user abilities; user profile; Adaptation models; Collaborative work; Computational modeling; Electronic learning; Psychology; Bayes classifier; Intelligent Tutoring Systems; predicting;
Conference_Titel :
Cybernetics (CYBCONF), 2015 IEEE 2nd International Conference on
Conference_Location :
Gdynia
Print_ISBN :
978-1-4799-8320-9
DOI :
10.1109/CYBConf.2015.7175913
