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.
Automatic extraction of prerequisites among learning objects using wikipedia-based content analysis / De Medio, Carlo; Gasparetti, Fabio; Limongelli, Carla; Sciarrone, Filippo; Temperini, Marco. - STAMPA. - 9684:(2016), pp. 375-381. (Intervento presentato al convegno 13th International Conference on Intelligent Tutoring Systems, ITS 2016 tenutosi a Zagreb; Croatia nel 2016) [10.1007/978-3-319-39583-8_44].
Automatic extraction of prerequisites among learning objects using wikipedia-based content analysis
SCIARRONE, FILIPPO;TEMPERINI, Marco
2016
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.| File | Dimensione | Formato | |
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