Library Learning Analytics Project White Paper
dc.contributor.author | Kabo, Felichism | |
dc.contributor.author | Varnum, Kenneth J. | |
dc.contributor.author | Alexander, Laurie | |
dc.contributor.author | Korner, Sebastien | |
dc.contributor.author | Bradley, Doreen | |
dc.date.accessioned | 2023-03-24T18:21:37Z | |
dc.date.available | 2023-03-24T18:21:37Z | |
dc.date.issued | 2023-03-24 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/175994 | en |
dc.description.abstract | The Library Learning Analytics Project (LLAP) was a collaborative partnership between the University of Michigan (U-M) and the institutions that comprise the project advisory group (PAG). It was funded for three years (2018-2021) by the Institute of Museums and Library Services (IMLS LG-96-18-0040-18). The project used U-M campus and library data in order to prototype and pilot data collection, storage, and analysis with the expectation that the tools developed would be made available to other libraries and institutions. A proximate goal was to provide guidance to PAG institutions and other libraries on how to best design and implement empirical, holistic library learning analytics (LLA) studies of the links from library usage, to learning outcomes such as research, course instruction, and publications. The project produced a set of tools, scripts, and protocols that are freely available to all libraries. | en_US |
dc.description.sponsorship | Institute of Library and Museum Services (IMLS, LG-96-18-0040-18) | en_US |
dc.language.iso | en_US | en_US |
dc.rights | CC0 1.0 Universal | * |
dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
dc.subject | Learning Analytics | en_US |
dc.subject | Library analytics | en_US |
dc.title | Library Learning Analytics Project White Paper | en_US |
dc.type | Working Paper | en_US |
dc.subject.hlbsecondlevel | Information and Library Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.contributor.affiliationum | Institute for Social Research | en_US |
dc.contributor.affiliationum | University of Michigan Library | en_US |
dc.contributor.affiliationum | University of Michigan Library | en_US |
dc.contributor.affiliationum | University of Michigan Library | en_US |
dc.contributor.affiliationum | University of Michigan Library | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/175994/1/Library Learning Analytics Project White Paper.pdf | |
dc.identifier.doi | https://dx.doi.org/10.7302/7034 | |
dc.identifier.orcid | 0000-0002-9073-2912 | en_US |
dc.identifier.orcid | 0000-0002-0091-1037 | en_US |
dc.identifier.orcid | 0000-0002-1762-0842 | en_US |
dc.description.filedescription | Description of Library Learning Analytics Project White Paper.pdf : White paper | |
dc.description.depositor | SELF | en_US |
dc.identifier.name-orcid | Kabo, Felichism; 0000-0002-9073-2912 | en_US |
dc.identifier.name-orcid | Varnum, Ken; 0000-0002-0091-1037 | en_US |
dc.identifier.name-orcid | Bradley, Doreen; 0000-0002-1762-0842 | en_US |
dc.working.doi | 10.7302/7034 | en_US |
dc.owningcollname | Library (University of Michigan Library) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.