CIFASIS 20631
CENTRO INTERNACIONAL FRANCO ARGENTINO DE CIENCIAS DE LA INFORMACION Y DE SISTEMAS
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Recommender System of Educational Resources: a Critiquing-based Proposal
Autor/es:
FRANCO GIUSTOZZI; HENRIQUE LEMOS; ANA CASALI; CRISTIAN CECHINEL; CLAUDIA DECO
Lugar:
La Fortuna
Reunión:
Conferencia; Décimo Primera Conferencia Latinoamericana de Objetos y Tecnologías de Aprendizaje (LACLO2016); 2016
Institución organizadora:
LACLO
Resumen:
Abstract?The learning objects recommending systems de-signed in the last decade employ different recommendationtechniques, which mainly use collaborative filtering and content-based filtering. This paper aims to analyze a new recommen-dation approach, that has not been yet applied to learningobjects communities, called critiquing-based recommendation.This approach gathers the users preferences through an inter-action based on examples and critiques. This feedback helps thesystem to recommend the most suitable learning resources. Inthis work we propose an hybrid recommender system of openeducational resources that combines collaborative filtering andcritiquing-based techniques. A prototype using MERLOT dataand considering just one round of interaction was built in orderto evaluate the recommendation results amongst a small group ofvolunteers. Preliminary results pointed out that the relevance ofrecommended learning resources increases as the system receivesthe users feedback and generates new recommendations basedon it.
