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A Learning Management System-Based Early Warning System for Academic Advising in Undergraduate Engineering
dc.contributor.authorKrumm, Andrew E.
dc.contributor.authorWaddington, Richard Joseph
dc.contributor.authorTeasley, Stephanie D.
dc.contributor.authorLonn, Steven
dc.date.accessioned2014-07-26T02:40:09Z
dc.date.available2014-07-26T02:40:09Z
dc.date.issued2014-05-20
dc.identifier.citationIn (J. A. Larusson & B. White, Eds.) Learning Analytics: From Research to Practice (pp 103-119). New York: Springer. <http://hdl.handle.net/2027.42/107974>en_US
dc.identifier.otherUSE Laben_US
dc.identifier.otherStudent Exploreren_US
dc.identifier.urihttps://hdl.handle.net/2027.42/107974
dc.description.abstractThis chapter describes a design-based research project that developed an early warning system for an undergraduate engineering mentoring program. Using near real-time data from a university’s learning management system, we provided academic advisors with timely and targeted data on students’ academic progress. We discuss the development of the early warning system and detail how academic advisors used it. Our findings point to the value of providing academic advisors with performance data that can be used to direct students to appropriate sources of support.en_US
dc.language.isoen_USen_US
dc.publisherSpringer New Yorken_US
dc.subjectLearning Analyticsen_US
dc.subjectAssessment, Testing and Evaluationen_US
dc.subjectData Mining and Knowledge Discoveryen_US
dc.titleA Learning Management System-Based Early Warning System for Academic Advising in Undergraduate Engineeringen_US
dc.typeBook Chapteren_US
dc.subject.hlbsecondlevelInformation and Library Science
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumSchool of Information, University of Michiganen_US
dc.contributor.affiliationumUSE Lab, Digital Media Commons, University of Michiganen_US
dc.contributor.affiliationotherCenter for Technology in Learning, SRI International , Menlo Park , CA , USAen_US
dc.contributor.affiliationotherInstitute for Educational Initiatives, University of Notre Dame , Notre Dame , IN , USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/107974/1/Krumm_etal_2014_LA.pdf
dc.identifier.doi10.1007/978-1-4614-3305-7_6
dc.identifier.sourceLearning Analytics: From Research to Practiceen_US
dc.owningcollnameLibrary (University of Michigan Library)


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