• Corpus ID: 60842582

Pattern Discovery in Students' Evaluations of Professors: A Statistical Data Mining Approach

  title={Pattern Discovery in Students' Evaluations of Professors: A Statistical Data Mining Approach},
  author={Necla Gunduz and Ernest P. Fokoue},
  journal={arXiv: Applications},
  • N. Gunduz, E. Fokoue
  • Published 9 January 2015
  • Computer Science, Education
  • arXiv: Applications
The evaluation of instructors by their students has been practiced at most universities for many decades, and there has always been a great interest in a variety of aspects of the evaluations. [] Key Result The application of our techniques to this data reveals some very interesting patterns in the evaluations, like the strong association between the student's seriousness and dedication (measured by attendance) and the kind of scores they tend to assign to their instructors.



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