An Argumentation-based Conversational Recommender System for Recommending Learning Objects

Javier Palanca (Universitat Politècnica de València), Stella Heras (Universitat Politècnica de València), Paula Rodríguez Marín (Instituto Tecnológico Metropolitano), Néstor Duque (Universidad Nacional de Colombia), Vicente Julián (Universitat Politècnica de València)

Abstract

In this paper, we present an argumentation-based Conversational Educational Recommender System (C-ERS), which helps students to find the more suitable learning resources considering their learning objectives and profile. The recommendation process is based on an argumentation-based technique, which selects those learning objects (LOs) for which it is able to generate a greater number of arguments justifying their suitability.