Conspectus: A Syllabi Analysis Platform for Leganto Data Sources

dc.contributor.author	Massey, David
dc.contributor.author	Sødring, Thomas
dc.date.accessioned	2022-01-27T12:24:02Z
dc.date.available	2022-01-27T12:24:02Z
dc.date.created	2021-12-06T15:33:31Z
dc.date.issued	2021-09-22
dc.identifier.issn	1940-5758
dc.identifier.uri	https://hdl.handle.net/11250/2887868
dc.description.abstract	In recent years, higher education institutions have implemented electronic solutions for the management of syllabi, resulting in new and exciting opportunities within the area of large-scale syllabi analysis. This article details an information pipeline that can be used to harvest, enrich and use such information.	en_US
dc.language.iso	eng	en_US
dc.publisher	Code4Lib Journal	en_US
dc.relation.ispartofseries	Code4Lib Journal;Issue 52
dc.rights	Navngivelse 4.0 Internasjonal	*
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/deed.no	*
dc.subject	Syllabi analyses	en_US
dc.subject	Leganto	en_US
dc.subject	Learning management systems	en_US
dc.subject	Syllabi	en_US
dc.title	Conspectus: A Syllabi Analysis Platform for Leganto Data Sources	en_US
dc.type	Peer reviewed	en_US
dc.type	Journal article	en_US
dc.description.version	publishedVersion	en_US
cristin.ispublished	true
cristin.fulltext	postprint
cristin.qualitycode	1
dc.identifier.doi	https://journal.code4lib.org/articles/15995
dc.identifier.cristin	1965203
dc.source.journal	Code4Lib Journal	en_US
dc.source.issue	52	en_US

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