2023 Methods to Effectively Identify and Eliminate Extraneous Online Course Workload - Griffith.pdf

Research output: Contribution to conferencePresentation

Abstract

Thirteen sections of a 200-level online college statistics course (student N=295) were examined to evaluate differences in midterm exam scores between course sections with 8 graded chapter homework assignments and 4 quizzes versus course sections that had the same graded homework but no quizzes. Results included a non-significant difference on midterm scores between sections with quizzes (N=195, M=88.3) and sections without (N=100, M=88) quizzes.  The average of the two groups also differed by less than a point.  

More importantly, withdraw rates fell from 4% for course sections with quizzes, to 1% for course sections without quizzes  (x2(1, N= 657) = 8.41, p = 0.004).  Takeaways included methodologies to identify tasks for elimination reducing extraneous course workload.

Original languageAmerican English
StatePublished - Aug 7 2023
Event2023 Lilly Asheville International Teaching and Learning Conference - Asheville North Carolina
Duration: Aug 7 2023 → …

Conference

Conference2023 Lilly Asheville International Teaching and Learning Conference
Period8/7/23 → …

Keywords

  • Online STEM Education
  • Extraneous workload
  • Withdraw rates
  • Friction

Disciplines

  • Education
  • Higher Education
  • Scholarship of Teaching and Learning
  • Online and Distance Education

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