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Pocket PiCoMap: a case study in designing and assessing a handheld concept mapping tool for learners
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Source Conference on Human Factors in Computing Systems archive
Proceedings of the SIGCHI conference on Human factors in computing systems table of contents
Ft. Lauderdale, Florida, USA
SESSION: Designing applications for handheld devices table of contents
Pages: 321 - 328  
Year of Publication: 2003
ISBN:1-58113-630-7
Authors
Kathleen Luchini  University of Michigan/UM, Ann Arbor, MI
Chris Quintana  University of Michigan/UM, Ann Arbor, MI
Elliot Soloway  University of Michigan/UM, Ann Arbor, MI
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

Our project explores the benefits and challenges of using handheld computers to support learners in creating concept maps (a type of visual outline). By synthesizing research on small user interfaces with guidelines for building desktop learning tools, we identified potential challenges to using handhelds for complex learning tasks and developed new design guidelines to address these issues. We applied these guidelines to the design of Pocket PiCoMap, a learner-centered concept mapping tool for handheld Pocket PCs. As part of a 9-month classroom study, students used both the handheld Pocket PiCoMap and a comparable desktop concept mapping tool called PiViT. The goal of this comparison between handheld and desktop tools was to better understand how the different form factors of these computers impact students' work processes and products. Our results suggest that students can successfully complete complex learning activities using handheld tools, and that specialized supports (called scaffolds) can be used to help students create better concept maps. This study also identifies several areas where handheld learning tools need further improvements, such as helping students organize their work within the confines of small handheld screens, and we discuss ways in which scaffolds might be used to improve future handheld learning tools.


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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Collaborative Colleagues:
Kathleen Luchini: colleagues
Chris Quintana: colleagues
Elliot Soloway: colleagues