Detalle del congreso

Autores: Franco Giustozzi; Ana Casali; Claudia Deco; Henrique Lemos; Cristian Cechinel.

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.

Tipo de reunión: Conferencia.

Tipo de trabajo: Artículo Completo.

Producción: Recommender System of Educational Resources: a Critiquing-based Proposal.

Reunión científica: Décimo Primera Conferencia Latinoamericana de Objetos y Tecnologías de Aprendizaje (LACLO2016).

Lugar: La Fortuna.

Institución organizadora: LACLO.

Publicado: Sí

Lugar publicación: La Fortuna

Mes de reunión: 10

Año: 2016.

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