The relationship between course scheduling and student performance

Research output: Contribution to journalConference articlepeer-review

Abstract

Using 10 years of grade data from a university computer science department we fit a multi-level proportional odds model and find that students earn a higher grade in an afternoon class at 1.15 times the odds for a morning class, even when controlling for GPA. This finding has implications both for student learning and for experimental studies that compare classes without considering the time of day at which they are taught. We find that there are no significant trends for student performance based on term when looking at the department as a whole, though there are such trends for certain courses in particular.

Original languageEnglish (US)
JournalCEUR Workshop Proceedings
Volume2734
StatePublished - 2020
Event4th Educational Data Mining in Computer Science Education Workshop, CSEDM 2020 - Virtual, Online
Duration: Jul 10 2020 → …

Keywords

  • Course scheduling
  • GPA
  • Multi-level models
  • Research methods

ASJC Scopus subject areas

  • Computer Science(all)

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