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Multi-institutional, multi-national studies in CSEd Research: some design considerations and trade-offs
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Source International Computing Education Research Workshop archive
Proceedings of the first international workshop on Computing education research table of contents
Seattle, WA, USA
Pages: 111 - 121  
Year of Publication: 2005
ISBN:1-59593-043-4
Authors
Sally Fincher  University of Kent, Canterbury, England
Raymond Lister  University of Technology, Sydney, Broadway, Australia
Tony Clear  Auckland University of Technology, Auckland, New Zealand
Anthony Robins  University of Otago, New Zealand
Josh Tenenberg  University of Washington - Tacoma, Tacoma, WA
Marian Petre  Open University, Milton Keynes, England
Sponsors
ACM: Association for Computing Machinery
SIGCSE: ACM Special Interest Group on Computer Science Education
Publisher
ACM  New York, NY, USA
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ABSTRACT

One indication of the maturation of Computer Science Education as a research-based discipline is the recent emergence of several large-scale studies spanning multiple institutions. This paper examines a "family" of these multi-institutional, multi-national studies, detailing core elements and points of difference in both study design and the organization of the research team, and highlighting the costs and benefits associated with the different approaches.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Porter, A.C. and A. Gamoran, eds. Methodological Advances in Cross-National Surveys of Educational Achievement. 2002, National Academy Press: Washington DC.
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Petre, M., et al., "My criterion is: Is it a Boolean?": A card-sort elicitation of students' knowledge of programming constructs. 2003, University of Kent: Canterbury. p. 37.
 
4
Fincher, S., et al., Cause for alarm? A multi-national, multi-institutional study of student-generated software designs. 2004, Computing Laboratory, University of Kent: Canterbury.
 
5
Fincher, S., et al., Programmed to succeed? A multi-national, multi-institutional study of introductory programming courses. 2005, Computing Laboratory, University of Kent: Canterbury.
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McCauley, R., et al., 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. Expert Systems, 2005. 22(3): p. 147--159.
 
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Sanders, K., et al., A multi-institutional, multinational study of programming concepts using card sort data. Expert Systems, 2005. 22(3): p. 121--128.
 
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Deibel, K., R. Anderson, and R. Anderson, Using edit distance to analyze card sorts. Expert Systems, 2005. 22(3).
 
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Collaborative Colleagues:
Sally Fincher: colleagues
Raymond Lister: colleagues
Tony Clear: colleagues
Anthony Robins: colleagues
Josh Tenenberg: colleagues
Marian Petre: colleagues