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 verication 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 identication of these kinds of relationships is proposed.
Mining prerequisite relationships among learning objects / De Medio, Carlo; Gasparetti, Fabio; Limongelli, Carla; Sciarrone, Filippo; Temperini, Marco. - 618:(2016), pp. 221-225. (Intervento presentato al convegno 18th International Conference on Posters’ Extended Abstracts, HCI International 2016 tenutosi a Toronto; Canada nel 2016) [10.1007/978-3-319-40542-1_35].
Mining prerequisite relationships among learning objects
TEMPERINI, Marco
2016
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 verication 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 identication of these kinds of relationships is proposed.| File | Dimensione | Formato | |
|---|---|---|---|
|
Medior_Postprint_Mining-Prerequisite-Relationship_2016.pdf
accesso aperto
Note: https://link.springer.com/chapter/10.1007/978-3-319-40542-1_35
Tipologia:
Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
151.16 kB
Formato
Adobe PDF
|
151.16 kB | Adobe PDF | |
|
Medior_Mining-Prerequisite-Relationship_2016.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
107.81 kB
Formato
Adobe PDF
|
107.81 kB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
