Engineering GPA Achievement Analysis

dc.contributor.author Seibert, Amy
dc.contributor.department Electrical & Computer Engineering
dc.date 2018-02-17T18:54:08.000
dc.date.accessioned 2020-06-30T04:33:52Z
dc.date.available 2020-06-30T04:33:52Z
dc.date.issued 2016-04-01
dc.description.abstract <p>Historical data from multiple institutions show that students who achieve a first-semester grade point average (GPA) below 2.0 are at substantially greater risk of leaving engineering programs before graduating with a degree than are those who achieved above 2.0. Identifying these “at risk” students prior to the start of their first semester could enable improved strategies to enhance their academic success and likelihood of graduation. This study analyzes why students who may have been “at risk” coming in did not end up getting below a 2.0 GPA in their first semester. The data from the MapWorks survey taken by all first-year students was compared for the different risk level groups. From this data, there are some statistically significant answers that differentiated those students who over-performed their “at risk” status and those who did not. These answers can be used when advising “at risk” students in engineering in the future.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/honors_posters/201604/projects/47/
dc.identifier.articleid 1080
dc.identifier.contextkey 8864163
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath honors_posters/201604/projects/47
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/42422
dc.relation.ispartofseries Honors Projects and Posters
dc.source.bitstream archive/lib.dr.iastate.edu/honors_posters/201604/projects/47/Seibert__Amy.pdf|||Sat Jan 15 00:24:50 UTC 2022
dc.subject.disciplines Science and Mathematics Education
dc.title Engineering GPA Achievement Analysis
dc.type event
dc.type.genre article
dspace.entity.type Publication
relation.isSeriesOfPublication 78a1cb49-0dee-4c38-97a8-c1fd0b7a74ea
thesis.degree.discipline Computer Engineering
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