Title :
A formal model of personalized recommendation systems in intelligent tutoring systems
Author :
Li Zhiping ; Sun Yu ; Xu Tianwei
Author_Institution :
Sch. of Inf. Sci. & Technol., Yunnan Normal Univ., Kunming, China
Abstract :
A formal model of a personalized recommendation system in intelligent tutoring systems is presented in this paper. Users´ queries, domain knowledge, user models and teaching knowledge extraction processes are four key factors that support a personalized recommendation system. After introducing the construction of domain knowledge and user models, the formal model of our personalized recommendation system is presented and discussed in detail to show that it is practicable.
Keywords :
intelligent tutoring systems; knowledge acquisition; recommender systems; formal model; intelligent tutoring systems; personalized recommendation systems; teaching knowledge extraction processes; user models; user query process; Education; Knowledge based systems; Learning systems; Materials; Ontologies; Domain Knowledge; Formal Models; Intelligent Tutoring Systems; Personalized Recommendation System; User Models;
Conference_Titel :
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-9717-1
DOI :
10.1109/ICCSE.2011.6028806