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What do successful computer science students know? An integrative analysis using card sort measures and content analysis to evaluate graduating students' knowledge of programming concepts |
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| Authors: | Renée McCauley Laurie Murphy Suzanne Westbrook Susan Haller Carol Zander Timothy Fossum Kate Sanders Briana Morrison Brad Richards Ruth Anderson |
| Affiliation: | Department of Computer Science, College of Charleston, SC 29424, USA; Computer Science and Computer Engineering Department, Pacific Lutheran University, Tacoma, WA 98447, USA; Department of Computer Science, University of Arizona, Tucson, AZ 85721, USA; Computer Science Department, University of Wisconsin –Parkside, Kenosha, WI 53141, USA; Computing and Software Systems, University of Washington, Bothell, WA 98011, USA; Mathematics and Computer Science, Rhode Island College, Providence, RI 02906, USA; Department of Computer Science, Vassar College, Poughkeepsie, NY 12604, USA; Department of Computer Science, Southern Polytechnic State University, Marietta, GA 30060, USA; Department of Computer Science, University of Virginia, Charlottesville, VA 22904, USA |
| Abstract: | Abstract: This paper describes a multi‐institutional study that used a repeated single‐criterion card sort to investigate graduating computer science students' knowledge of programming concepts. The study seeks to improve computer science instruction by gaining insight into how graduating students retain and assimilate introductory programming knowledge into their broader understanding of the discipline. A total of 291 card sorts was elicited from 65 undergraduate students in their final year of study at eight colleges and universities throughout the USA. To fully exploit the rich qualitative and quantitative aspects of the card sort data, an integrative analysis process was used that combined content analysis with two measures, normalized minimum spanning tree and edit distance, both developed specifically to analyze card sort data. |
| Keywords: | knowledge acquisition card sorts content analysis programming concepts computer science education |