Title :
Using Ontology for Providing Content Recommendation Based on Learning Styles inside E-learning
Author :
Kusumawardani, Sri Suning ; Prakoso, Robertus Sonny ; Santosa, Paulus Insap
Author_Institution :
Dept. of Electr. Eng. & Inf. Technol., Univ. Gadjah Mada, Yogyakarta, Indonesia
Abstract :
E-Learning as one of the learning support facilities provides various content types and interaction models inside. This wide range of content types inside e-Learning can be used for accommodating differences in learning styles among the students. In this research, we develop concept mapping between student characteristics and categories by Felder-Silverman Learning Style Model and appropriate content inside a Moodle-based e-Learning. This mapping is represented in the ontology and then implemented in Moodle-based e-Learning system for giving content recommendation to students based on their learning styles. There are some concepts that become basic definition of learning styles and e-Learning contents, and also some rules that is used for inferring content recommendation from the basic definition.
Keywords :
computer aided instruction; ontologies (artificial intelligence); recommender systems; Felder-Silverman learning style model; Moodle-based e-Learning; content recommendation; e-learning content; learning styles; learning support facility; ontology; student characteristics; Databases; Electronic learning; Ontologies; Sensors; Standards; Visualization; Felder-Silverman Learning Style Model; e-Learning; learning style; ontology;
Conference_Titel :
Artificial Intelligence, Modelling and Simulation (AIMS), 2014 2nd International Conference on
Print_ISBN :
978-1-4799-7599-0
DOI :
10.1109/AIMS.2014.40