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Quiet interfaces that help students think
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Source Symposium on User Interface Software and Technology archive
Proceedings of the 19th annual ACM symposium on User interface software and technology table of contents
Montreux, Switzerland
SESSION: Pen & paper table of contents
Pages: 191 - 200  
Year of Publication: 2006
ISBN:1-59593-313-1
Authors
Sharon Oviatt  Oregon Health & Science University, Beaverton, OR
Alex Arthur  Natural Interaction Systems, Seattle, WA
Julia Cohen  Natural Interaction Systems, Seattle, WA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 42,   Downloads (12 Months): 247,   Citation Count: 13
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APPENDICES and SUPPLEMENTS
Zipp191-slides.zip (8.06 MB),
Supplemental material for Quiet interfaces that help students think


ABSTRACT

As technical as we have become, modern computing has not permeated many important areas of our lives, including mathematics education which still involves pencil and paper. In the present study, twenty high school geometry students varying in ability from low to high participated in a comparative assessment of math problem solving using existing pencil and paper work practice (PP), and three different interfaces: an Anoto-based digital stylus and paper interface (DP), pen tablet interface (PT), and graphical tablet interface (GT). Cognitive Load Theory correctly predicted that as interfaces departed more from familiar work practice (GT > PT > DP), students would experience greater cognitive load such that performance would deteriorate in speed, attentional focus, meta-cognitive control, correctness of problem solutions, and memory. In addition, low-performing students experienced elevated cognitive load, with the more challenging interfaces (GT, PT) disrupting their performance disproportionately more than higher performers. The present results indicate that Cognitive Load Theory provides a coherent and powerful basis for predicting the rank ordering of users' performance by type of interface. In the future, new interfaces for areas like education and mobile computing could benefit from designs that minimize users' load so performance is more adequately supported.


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.

 
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CITED BY  13

Collaborative Colleagues:
Sharon Oviatt: colleagues
Alex Arthur: colleagues
Julia Cohen: colleagues