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Identifying programmer ability using peer evaluation: an empirical investigation

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dc.contributorSmith, Randy K.
dc.contributorKraft, Nicholas A.
dc.contributorRobinson, Cecil D.
dc.contributor.advisorCarver, Jeffrey C.
dc.contributor.authorOslin, Jason Robert
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2017-03-01T14:41:40Z
dc.date.available2017-03-01T14:41:40Z
dc.date.issued2011
dc.descriptionElectronic Thesis or Dissertationen_US
dc.description.abstractThe ability of students to accurately rate the programming ability of their peers was investigated. Two studies were performed in the context of undergraduate Computer Science courses to measure how closely student peer ratings matched class grades given by course instructors. The results showed that peer ratings did correlate with instructor grades. Additional data was collected regarding how the students related to each other through previous projects and social network connections. These relations were treated as measures of familiarity. Networks of familiarity were created and clusters within these networks were identified to show which students were more familiar with each other. Analyzing these clusters showed that familiarity plays a role in the accuracy of the peer ratings. Students who were more familiar with each other generally provided more accurate ratings of their peers. Further testing is warranted to validate these results, since the data gathered was more sparse than anticipated at the beginning of the study. Also, further analysis of the effect of familiarity may yield more compelling results if different network clustering methods are applied.en_US
dc.format.extent56 p.
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.otheru0015_0000001_0000612
dc.identifier.otherOslin_alatus_0004M_10614
dc.identifier.urihttps://ir.ua.edu/handle/123456789/1117
dc.languageEnglish
dc.language.isoen_US
dc.publisherUniversity of Alabama Libraries
dc.relation.hasversionborn digital
dc.relation.ispartofThe University of Alabama Electronic Theses and Dissertations
dc.relation.ispartofThe University of Alabama Libraries Digital Collections
dc.rightsAll rights reserved by the author unless otherwise indicated.en_US
dc.subjectComputer science
dc.titleIdentifying programmer ability using peer evaluation: an empirical investigationen_US
dc.typethesis
dc.typetext
etdms.degree.departmentUniversity of Alabama. Department of Computer Science
etdms.degree.disciplineComputer Science
etdms.degree.grantorThe University of Alabama
etdms.degree.levelmaster's
etdms.degree.nameM.S.

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