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Mining Prerequisite Relationships Among Learning Objects

2016; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-319-40542-1_35

1865-0937

Carlo De Medio, Fabio Gasparetti, Carla Limongelli, Filippo Sciarrone, Marco Temperini,

Data Mining Algorithms and Applications

The process of carefully choosing and sequencing a set of Learning Objects (LOs) to build a course may reveal to be quite a challenging task. In this work we focus on an aspect of such challenge, related to the verification and respect of the relationships of pedagogical dependence that holds between two LOs added to a course (meaning that if a given LO has another one as "pre-requisite", then any sequencing of the LOs in the course will need to have the latter LO taken by the learners before of the former). An innovative Machine learning-based approach for the identification of these kinds of relationships is proposed.