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Towards an Analytical Framework for Evaluating Student Learning in Computer Science Courses
Presented at the North Dakota EPSCoR State Conference (2014)
  • Jeremy Straub
  • Tom Stokke
  • Scott Kerlin
Abstract

This poster presents an overview of ongoing work in the Computer Science Department to assess the learning oc-curring in multiple undergraduate courses in an analytical manner which will facilitate semester-to-semester and in-stitution-to-institution comparisons. It describes the types of assessments created (which are course-specific based on ACM model content areas identified as covered by the instructor), their use, data analysis and the conclu-sions which can be drawn. Limited initial data is also pre-sented.

Keywords
  • Analytical Framework,
  • Evaluation of Student Learning,
  • Computer Science,
  • Undergraduate
Publication Date
April, 2014
Citation Information
Jeremy Straub, Tom Stokke and Scott Kerlin. "Towards an Analytical Framework for Evaluating Student Learning in Computer Science Courses" Presented at the North Dakota EPSCoR State Conference (2014)
Available at: http://works.bepress.com/jeremy_straub/195/