Identifying the pre-requisite relationships among learning objects is a crucial step for faculty and instructional designers when they try to adapt them for delivery in their general education distance courses. We propose a general-purpose content-based approach for facilitating this step by means of semantic analysis techniques: the learning objects are associated to WikiPedia pages (topics), and their dependency is obtained using the classification of those topics supported by Wikipedia Miner.
DE MEDIO, C., Gasparetti, F., Limongelli, C., Sciarrone, F., Temperini, M. (2016). Automatic extraction of prerequisites among learning objects using wikipedia-based content analysis. In ITS 2016 Proceedings of the 13th International Conference on Intelligent Tutoring Systems - Volume 9684 (pp.375-381). Springer Verlag [10.1007/978-3-319-39583-8_44].
Automatic extraction of prerequisites among learning objects using wikipedia-based content analysis
DE MEDIO, CARLO;GASPARETTI, FABIO;LIMONGELLI, Carla;SCIARRONE, FILIPPO;
2016-01-01
Abstract
Identifying the pre-requisite relationships among learning objects is a crucial step for faculty and instructional designers when they try to adapt them for delivery in their general education distance courses. We propose a general-purpose content-based approach for facilitating this step by means of semantic analysis techniques: the learning objects are associated to WikiPedia pages (topics), and their dependency is obtained using the classification of those topics supported by Wikipedia Miner.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
