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Friend or foe?: examining CAS use in mathematics research
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Education and science table of contents
Pages 229-238  
Year of Publication: 2009
ISBN:978-1-60558-246-7
Authors
Andrea Bunt  University of Waterloo, Waterloo, ON, Canada
Michael Terry  University of Waterloo, Waterloo, ON, Canada
Edward Lank  University of Waterloo, Waterloo, ON, Canada
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Computer Algebra Systems (CAS) provide sophisticated functionality to assist with mathematical problem solving. Despite their widespread adoption, however, little work in the HCI community has examined the extent to which these computational tools support domain experts. In this paper, we report findings from a qualitative study investigating the work practices and tools of nine mathematicians in a research setting. Counter to our expectations, our data suggests that computational tools play only a minor role in their workflow, with the limited use of CAS owing primarily to four factors: (1) the need for transparency in CAS's reasoning to explain computed results; (2) the problem of rigidity and formality in CAS's input/output style dialogue; (3) the need for 2D input to support a wide range of annotations, diagrams, and in-place manipulation of objects of interest; and (4) the need for collaboration, particularly in early stages of problem solving. While grounded in the study of mathematicians, these findings (particularly the first) have implications for the design of computational systems intended to support complex problem solving.


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
Adoption of Maple 10 into Academic Market Exceeds All Expectations. www.marketwire.com/press-release/Maplesoft-563405.html.
2
 
3
M. Artigue. Learning mathematics in a CAS environment: The genesis of a reflection about instrumentation and the dialectics between technical and conceptual work. Int. J. of Computers for Mathematical Learning, 7:245--274, 2002.
 
4
Derive. www.chartwellyorke.com/derive.html.
5
 
6
J. Hadamard. The psychology of invention in the mathematical field. Dover Publications, Inc., New York, N.Y., 1945.
 
7
G. Labahn, E. Lank, M. Marzouk, A. Bunt, S. MacLean, and D. Tausky. MathBrush: A case study for pen-based interactive mathematics. In Proc. of SBIM, 2008.
 
8
9
 
10
C. Leinback, D. Pountney, and T. Etchells. Appropriate use of a CAS in the teaching and learning of mathematics. Int. J. of Mathematical Education in Science and Technology, 33(1):1--14, 2002.
 
11
Mathematica for Students. www.wolfram.com/products/student/mathforstudents.
 
12
Mathjournal. www.xthink.com/MathJournal.html.
13
 
14
R. Pierce, S. Herbert, and J. Giri. CAS: Student engagement requires unambiguous advantages. In Proc. of the 27th Annual Conf. of the Mathematics Education Research Group of Australasia, pages 462--469, 2004.
 
15
R. Pierce and K. Stacey. Observations on students' responses to learning in a CAS environment. Mathematics Education Research Journal, 13(1):28--46, 2001.
 
16
K. Ruthven. Instrumenting mathematical activity: Reflections on key studies of the eductional use of computer algebra systems. Int. J. of Computers for Mathematical Learning, 7:275--291, 2002.
 
17
D. Schon. The reflective practitioner: How professional think in action. 1983.
18
 
19
J. vanMerrienboer and J. Sweller. Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review, 17(2):147--177, 2005.

Collaborative Colleagues:
Andrea Bunt: colleagues
Michael Terry: colleagues
Edward Lank: colleagues