Harvesting latent and usage-based metadata in a course management system to enrich the underlying educational digital library

In this case study, we demonstrate how in an integrated digital library and course management system, metadata can be generated using a bootstrapping mechanism. The integration encompasses sequencing of content by teachers and deployment of content to learners. We show that taxonomy term assignments...

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Main Authors: Kortemeyer, Gerd, Droeschler, Stefan, Pritchard, David A
Other Authors: Massachusetts Institute of Technology. Department of Physics
Format: Article
Language:English
Published: Springer Berlin Heidelberg 2016
Online Access:http://hdl.handle.net/1721.1/104920
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author Kortemeyer, Gerd
Droeschler, Stefan
Pritchard, David A
author2 Massachusetts Institute of Technology. Department of Physics
author_facet Massachusetts Institute of Technology. Department of Physics
Kortemeyer, Gerd
Droeschler, Stefan
Pritchard, David A
author_sort Kortemeyer, Gerd
collection MIT
description In this case study, we demonstrate how in an integrated digital library and course management system, metadata can be generated using a bootstrapping mechanism. The integration encompasses sequencing of content by teachers and deployment of content to learners. We show that taxonomy term assignments and a recommender system can be based almost solely on usage data (especially correlations on what teachers have put in the same course or assignment). In particular, we show that with minimal human intervention, taxonomy terms, quality measures, and an association ruleset can be established for a large pool of fine-granular educational assets.
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spelling mit-1721.1/1049202022-10-01T04:00:06Z Harvesting latent and usage-based metadata in a course management system to enrich the underlying educational digital library Kortemeyer, Gerd Droeschler, Stefan Pritchard, David A Massachusetts Institute of Technology. Department of Physics Kortemeyer, Gerd Droeschler, Stefan Pritchard, David A In this case study, we demonstrate how in an integrated digital library and course management system, metadata can be generated using a bootstrapping mechanism. The integration encompasses sequencing of content by teachers and deployment of content to learners. We show that taxonomy term assignments and a recommender system can be based almost solely on usage data (especially correlations on what teachers have put in the same course or assignment). In particular, we show that with minimal human intervention, taxonomy terms, quality measures, and an association ruleset can be established for a large pool of fine-granular educational assets. National Science Foundation (U.S.) (Grant DUE-1044294) Germany. Federal Ministry of Education and Research (Grants 01PL11059 and 01PL11066H) 2016-10-21T19:19:52Z 2016-10-21T19:19:52Z 2013-11 2013-10 2016-08-18T15:28:42Z Article http://purl.org/eprint/type/JournalArticle 1432-5012 1432-1300 http://hdl.handle.net/1721.1/104920 Kortemeyer, Gerd, Stefan Dröschler, and David E. Pritchard. “Harvesting Latent and Usage-Based Metadata in a Course Management System to Enrich the Underlying Educational Digital Library: A Case Study.” International Journal on Digital Libraries 14.1–2 (2014): 1–15. en http://dx.doi.org/10.1007/s00799-013-0107-6 International Journal on Digital Libraries Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ Springer-Verlag Berlin Heidelberg application/pdf Springer Berlin Heidelberg Springer Berlin Heidelberg
spellingShingle Kortemeyer, Gerd
Droeschler, Stefan
Pritchard, David A
Harvesting latent and usage-based metadata in a course management system to enrich the underlying educational digital library
title Harvesting latent and usage-based metadata in a course management system to enrich the underlying educational digital library
title_full Harvesting latent and usage-based metadata in a course management system to enrich the underlying educational digital library
title_fullStr Harvesting latent and usage-based metadata in a course management system to enrich the underlying educational digital library
title_full_unstemmed Harvesting latent and usage-based metadata in a course management system to enrich the underlying educational digital library
title_short Harvesting latent and usage-based metadata in a course management system to enrich the underlying educational digital library
title_sort harvesting latent and usage based metadata in a course management system to enrich the underlying educational digital library
url http://hdl.handle.net/1721.1/104920
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