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License: CC BY NC SA
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Learning When Less is More: “Bootstrapping” Undergraduate Programmers as Coordination Designers

Authors: Lin, Strong; Tatar, Deborah; Harrison, Steve; Roschelle, Jeremy; Patton, Charles;

Learning When Less is More: “Bootstrapping” Undergraduate Programmers as Coordination Designers

Abstract

In this paper, we describe an undergraduate computer science class in the United States that we started with the intention of creating a participatory design experience to create distributed mobile collaborative technologies for education. The case highlights the ways in which programmer understanding of an innovative new technology can depend on understanding the context of use. The students were to use Tuple-spaces, a language for coordination. However, it soon became clear that while the coordination of machines may be thought of as a computer science problem, the students could not understand the technical system without richer models of how, why, or when coordination is desirable. We were in the ironic position of teaching human coordination at the same time as describing the technical properties of a system to support it. To “bootstrap” the learning process, we asked the students to draw on their own coordination expertise by implementing familiar coordinative games. We propose games as an addition to the PD toolkit when implementers need help in stepping outside their everyday mindset.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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