@inproceedings{ea893d199dff4f7994b02a10ac47bcc2,
title = "Identifying and visualizing the similarities between course content at a learning object, module and program level",
abstract = "As an educational institute grows an increase in the number of programs each with individual modules and learning objects can be seen. Learning environments provide a structured environment that can provide an additional level of insight into the relationship between content. This paper outlines the identification of similarities at a Learning Object, Module and Program Level utilizing these inherent structures. Once generated, these results are then visualized in graph form providing an insight into the overlap between course material.",
keywords = "Data structures, Moodle, Similarity detection, Visualization",
author = "Kyle Goslin and Markus Hofmann",
note = "Publisher Copyright: {\textcopyright} 2013 International Educational Data Mining Society. All rights reserved.; 6th International Conference on Educational Data Mining, EDM 2013 ; Conference date: 06-07-2013 Through 09-07-2013",
year = "2013",
language = "English",
series = "Proceedings of the 6th International Conference on Educational Data Mining, EDM 2013",
publisher = "International Educational Data Mining Society",
editor = "D'Mello, {Sidney K.} and Calvo, {Rafael A.} and Andrew Olney",
booktitle = "Proceedings of the 6th International Conference on Educational Data Mining, EDM 2013",
}