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.
DE MEDIO, C., Gasparetti, F., Limongelli, C., Sciarrone, F., Temperini, M. (2016). Mining prerequisite relationships among learning objects. In Communications in Computer and Information Science (pp.221-225). Springer Verlag [10.1007/978-3-319-40542-1_35].
Mining prerequisite relationships among learning objects
DE MEDIO, CARLO;GASPARETTI, FABIO;LIMONGELLI, Carla;SCIARRONE, FILIPPO;
2016-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
