Identifying programmer ability using peer evaluation: an empirical investigation

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dc.contributor Smith, Randy K.
dc.contributor Kraft, Nicholas A.
dc.contributor Robinson, Cecil D.
dc.contributor.advisor Carver, Jeffrey C.
dc.contributor.author Oslin, Jason Robert
dc.date.accessioned 2017-03-01T14:41:40Z
dc.date.available 2017-03-01T14:41:40Z
dc.date.issued 2011
dc.identifier.other u0015_0000001_0000612
dc.identifier.other Oslin_alatus_0004M_10614
dc.identifier.uri https://ir.ua.edu/handle/123456789/1117
dc.description Electronic Thesis or Dissertation
dc.description.abstract The 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.
dc.format.extent 56 p.
dc.format.medium electronic
dc.format.mimetype application/pdf
dc.language English
dc.language.iso en_US
dc.publisher University of Alabama Libraries
dc.relation.ispartof The University of Alabama Electronic Theses and Dissertations
dc.relation.ispartof The University of Alabama Libraries Digital Collections
dc.relation.hasversion born digital
dc.rights All rights reserved by the author unless otherwise indicated.
dc.subject.other Computer Science
dc.title Identifying programmer ability using peer evaluation: an empirical investigation
dc.type thesis
dc.type text
etdms.degree.department University of Alabama. Dept. of Computer Science
etdms.degree.discipline Computer Science
etdms.degree.grantor The University of Alabama
etdms.degree.level master's
etdms.degree.name M.S.


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