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.
Cite
CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9684, pp. 375–381). Springer Verlag. https://doi.org/10.1007/978-3-319-39583-8_44
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
