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Customized course advising: investigating engineering student success with incoming profiles and patterns of concurrent course enrollment
dc.contributor.authorNam, SunJin
dc.contributor.authorLonn, Steven
dc.contributor.authorBrown, Thomas
dc.contributor.authorDavis, Cinda-Sue
dc.contributor.authorKoch, Darryl
dc.date.accessioned2015-03-16T11:56:38Z
dc.date.available2015-03-16T11:56:38Z
dc.date.issued2014-03-24
dc.identifier.isbn978-1-4503-2664-3
dc.identifier.urihttps://hdl.handle.net/2027.42/110782
dc.description.abstractEvery college student registers for courses from a catalog of numerous offerings each term. Selecting the courses in which to enroll, and in what combinations, can dramatically impact each student's chances for academic success. Taking inspiration from the STEM Academy, we wanted to identify the characteristics of engineering students who graduate with 3.0 or above grade point average. The overall goal of the Customized Course Advising project is to determine the optimal term-by-term course selections for all engineering students based on their incoming characteristics and previous course history and performance, paying particular attention to concurrent enrollment. We found that ACT Math, SAT Math, and Advanced Placement exam can be effective measures to measure the students' academic preparation level. Also, we found that some concurrent course-enrollment patterns are highly predictive of first-term and overall academic success.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.subjectLearning Analyticsen_US
dc.subjectData Analysisen_US
dc.subjectCourse Advisingen_US
dc.subjectData Miningen_US
dc.titleCustomized course advising: investigating engineering student success with incoming profiles and patterns of concurrent course enrollmenten_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelInformation and Library Science
dc.subject.hlbtoplevelSocial Sciences
dc.contributor.affiliationumLibrary, University of Michiganen_US
dc.contributor.affiliationumLED Lab, University of Michiganen_US
dc.contributor.affiliationumSchool of Information, University of MIchiganen_US
dc.contributor.affiliationumCenter for Statistical Consultation and Research, University of Michiganen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/110782/1/Customized Course Advising Investigating Engineering Student Success with Incoming Profiles and Patterns of Concurrent Course Enrollment.pdf
dc.identifier.doi10.1145/2567574.2567589
dc.description.filedescriptionDescription of Customized Course Advising Investigating Engineering Student Success with Incoming Profiles and Patterns of Concurrent Course Enrollment.pdf : Proceeding pdf
dc.owningcollnameLibrary (University of Michigan Library)


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