Proficiency in Basic Data Structures among Various Subpopulations of Students at Different Stages in a CS Program

Previous studies show that CS students may not learn as much from their courses as we might expect. This could have ramifications on how students succeed in their future careers and may explain why researchers report a gap between industry expectations and the abilities of recent CS graduates. However, previous studies have also shown that students improve their prerequisite knowledge in subsequent courses. This study investigates the introductory data structures proficiency of students in different courses at various stages in our CS program, employing the validated Basic Data Structures Inventory (BDSI). Additionally, we investigate whether subpopulations, including transfer students and underrepresented groups, may be more prone to not attaining as much knowledge from our courses as we might expect.

Proficiency in Basic Data Structures among Various Subpopulations of Students at Different Stages in a CS Program

  • Author Valstar, Sander; Krause-Levy, Sophia; Salguero, Adrian; Porter, Leo; Griswold, William G.
  • Publication Title Proceedings Of The 26Th ACM Conference On Innovation And Technology In Computer Science Education V. 1
  • Publication Year 2021
  • BPC Focus NA
  • Methodology NA
  • Analytic Method ANOVA
  • Institution Type Community Colleges
  • DOI 10.1145/3430665.3456337
  • URL https://doi.org/10.1145/3430665.3456337