Show simple item record

Data Literacy and Voting

dc.contributor.authorStuit, Martha
dc.date.accessioned2018-12-12T19:39:00Z
dc.date.available2018-12-12T19:39:00Z
dc.date.issued2016-07-15
dc.identifier.urihttps://hdl.handle.net/2027.42/146732
dc.descriptionWebinar in the 2016 4T Virtual Conference on Data Literacyen_US
dc.description.abstractThis presentation will apply newly learned data literacy concepts to the context of the 2016 Presidential election. The discussion will include how to talk with students about controversial topics with statistics and visualizations, especially when the statistics or visualizations favor one side of a multi-sided issue. In addition, questions about how polling works as well as recommendations for good sources of balanced election reporting will be incorporated into the presentation.en_US
dc.language.isoen_USen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectData literacyen_US
dc.subjectLibraryen_US
dc.subjectVotingen_US
dc.titleData Literacy and Votingen_US
dc.typePresentationen_US
dc.subject.hlbsecondlevelInformation and Library Science
dc.subject.hlbtoplevelSocial Sciences
dc.contributor.affiliationumLibrary, University of Michiganen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/146732/4/2016Webinar_DataLiteracyandVoting_Slides.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/146732/5/2016Webinar_DataLiteracyandVoting_SourcesandResources.pdf
dc.identifier.orcid0000-0002-4939-1861en_US
dc.description.filedescriptionDescription of 2016Webinar_DataLiteracyandVoting_Slides.pdf : Slides
dc.description.filedescriptionDescription of 2016Webinar_DataLiteracyandVoting_SourcesandResources.pdf : Handout
dc.identifier.name-orcidStuit, Martha; 0000-0002-4939-1861en_US
dc.owningcollnameLibrary (University of Michigan Library)


Files in this item

Show simple item record

Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International

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.