TY - JOUR
KW - Recommendation Systems
KW - Learning Objects
KW - Multi-Agent Systems
KW - Education
AU - Paula Rodríguez
AU - Valentina Tabares
AU - Néstor Duque
AU - Demetrio Ovalle
AU - Rosa Vicari
AB - Learning Objects (LOs) are distinguished from traditional educational resources for their easy and quickly availability through Web-based repositories, from which they are accessed through their metadata. In addition, having a user profile allows an educational recommender system to help the learner to find the most relevant LOs based on their needs and preferences. The aim of this paper is to propose an agent-based model so-called BROA to recommend relevant LOs recovered from Repository Federations as well as LOs adapted to learner profile. The model proposed uses both role and service models of GAIA methodology, and the analysis models of the MAS-CommonKADS methodology. A prototype was built based on this model and validated to obtain some assessing results that are finally presented.
IS - Special Issue on Artificial Intelligence and Social Application
M1 - 1
N2 - Learning Objects (LOs) are distinguished from traditional educational resources for their easy and quickly availability through Web-based repositories, from which they are accessed through their metadata. In addition, having a user profile allows an educational recommender system to help the learner to find the most relevant LOs based on their needs and preferences. The aim of this paper is to propose an agent-based model so-called BROA to recommend relevant LOs recovered from Repository Federations as well as LOs adapted to learner profile. The model proposed uses both role and service models of GAIA methodology, and the analysis models of the MAS-CommonKADS methodology. A prototype was built based on this model and validated to obtain some assessing results that are finally presented.
PY - 2013
SP - 6
EP - 11
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - BROA: An agent-based model to recommend relevant Learning Objects from Repository Federations adapted to learner profile
UR - http://www.ijimai.org/journal/sites/default/files/files/2013/03/ijimai20132_11_pdf_51705.pdf
VL - 2
SN - 1989-1660
ER -