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A multi‐institutional, multinational study of programming concepts using card sort data
Author(s) -
Sanders Kate,
Fincher Sally,
Bouvier Dennis,
Lewandowski Gary,
Morrison Briana,
Murphy Laurie,
Petre Marian,
Richards Brad,
Tenenberg Josh,
Thomas Lynda,
Anderson Richard,
Anderson Ruth,
Fitzgerald Sue,
Gutschow Alicia,
Haller Susan,
Lister Raymond,
McCauley Renée,
McTaggart John,
Prasad Christine,
Scott Terry,
ShinnersKennedy Dermot,
Westbrook Suzanne,
Zander Carol
Publication year - 2005
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.2005.00303.x
Subject(s) - sort , computer science , multinational corporation , bootstrapping (finance) , card sorting , population , foundation (evidence) , knowledge management , data science , mathematics education , management , information retrieval , sociology , econometrics , psychology , history , archaeology , demography , political science , law , economics , task (project management)
This paper presents a case study of the use of a repeated single‐criterion card sort with an unusually large, diverse participant group. The study, whose goal was to elicit novice programmers' knowledge of programming concepts, involved over 20 researchers from four continents and 276 participants drawn from 20 different institutions. In this paper we present the design of the study and the unexpected result that there were few discernible systematic differences in the population. The study was one of the activities of the National Science Foundation funded Bootstrapping Research in Computer Science Education project (2003).