Framing Feedback: Choosing Review Environment Features that Support High
Quality Peer Assessment
Learning Feedback
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Hicks, Catherine M.
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Pandey, Vineet
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Fraser, C. Ailie
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Klemmer, Scott
Proceedings of the ACM CHI'16 Conference on Human Factors in Computing
Systems
2016-05-07
v.1
p.458-469
© Copyright 2016 ACM
Summary: Peer assessment is rapidly growing in online learning, as it presents a
method to address scalability challenges. However, research suggests that the
benefits of peer review are obtained inconsistently. This paper explores why,
introducing three ways that framing task goals significantly changes reviews.
Three experiments manipulated features in the review environment. First, adding
a numeric scale to open text reviews was found to elicit more explanatory, but
lower quality reviews. Second, structuring a review task into short, chunked
stages elicited more diverse feedback. Finally, showing reviewers a draft along
with finished work elicited reviews that focused more on the work's goals than
aesthetic details. These findings demonstrate the importance of carefully
structuring online learning environments to ensure high quality peer reviews.
DiscoverySpace: Crowdsourced Suggestions Onboard Novices in Complex Software
Demos
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Fraser, C.
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Dontcheva, Mira
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Winnemoeller, Holger
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Klemmer, Scott
Companion Proceedings of ACM CSCW 2016 Conference on Computer-Supported
Cooperative Work and Social Computing
2016-02-27
v.2
p.29-32
© Copyright 2016 ACM
Generalized markup for literary analysis
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Fraser, Cheryl A.
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Barnard, David T.
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Logan, George M.
ACM Fifth International Conference on Systems Documentation
1986-06-08
p.27-31
© Copyright 1986 ACM
Summary: Easy interchange of texts among humanistic scholars and development of
standard analytical tools for these texts require a standard for marking
features of documents for literary analysis. The Standard Generalized Markup
Language has been used as a basis for a standard, and the results are compared
against a set of requirements for such a tool.
