Cited by 390Student Assessment and FeedbackOnline Learning and AnalyticsOnline and Blended Learning

The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index; 2 of the 52 sources its claims cite were checked for support.

Peer and self assessment in massive online classes

Open access
Kulkarni, Chinmay, Wei, Koh Pang, Le, Huy, Chia, Daniel, Papadopoulos, Kathryn, Cheng, Justin, Koller, Daphne, Klemmer, Scott R.·2013·ACM Transactions on Computer-Human Interaction

Abstract

Peer and self-assessment offer an opportunity to scale both assessment and learning to global classrooms. This article reports our experiences with two iterations of the first large online class to use peer and self-assessment. In this class, peer grades correlated highly with staff-assigned grades. The second iteration had 42.9% of students’ grades within 5% of the staff grade, and 65.5% within 10%. On average, students assessed their work 7% higher than staff did. Students also rated peers’ work from their own country 3.6% higher than those from elsewhere. We performed three experiments to improve grading accuracy. We found that giving students feedback about their grading bias increased subsequent accuracy. We introduce short, customizable feedback snippets that cover common issues with assignments, providing students more qualitative peer feedback. Finally, we introduce a data-driven approach that highlights high-variance items for improvement. We find that rubrics that use a parallel sentence structure, unambiguous wording, and well-specified dimensions have lower variance. After revising rubrics, median grading error decreased from 12.4% to 9.9%.

Overview

Integrity signals

Registry

Crossref · 10.1145/2505057

Cites

102 of 102 references verified0 citation errors · 0 not checkable

Statistics

2 tests recomputed · 1 with the reported and recomputed p on opposite sides of .05

Verification

Claims the paper makes

2 of 52 cited sources checked · 1 supported · 0 flagged · accuracy not yet measured

Show all 102 claims

  • It may state two separate claims as one. 56
  • Probably not a substantial claim. 56
  • The quote only partly states this claim. 1
93 of 93
  • The paper relies on this without support.

    Staff-assigned grades are a valid ground truth for assessing peer and self grading accuracy.

    “To establish a ground-truth comparison of self-and staff grades, each assignment included four to 10 staff-graded submissions in the peer assessment pool (these were randomly selected).”
    “We evaluated the accuracy of this grading process using the 99 assignments with a staff grade.”
  • The paper relies on this without support.

    Survey respondents are representative of the class.

    “At the end of the class, students were invited to participate in a survey; 3,550 students participated in all.Participation was voluntary, students were not compensated, and the survey did not count toward course credit.”
  • The authors state this as an assumption.

    Grades in different assignments are uncorrelated.

    “(assuming grades in different assignments are uncorrelated)”
  • The paper relies on this without support.

    Staff grades are a valid ground truth for assessing peer grading accuracy.

    “Holding out 10% of ground truth grades”
    “compared to 7.74% in the no-feedback condition”
  • The paper relies on this without support.

    At a physical university, the completion rate for an equivalent class is much higher than in the online class.

    “Needless to say, at a physical university, the completion rate for an equivalent class is much higher.”
  • The paper relies on this without support.

    Peers can help instruction itself.

    “Fourth, peers can help instruction itself.”
6 of 6

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Statistics that don’t add up

Each reported p-value recomputed from its test statistic and degrees of freedom.

  • Inconsistent p-value across alpha = .05: F(1, 39) = 2.07, p < .05

    Major

    The paper reports p < .05 here; recomputing from the test statistic and its degrees of freedom gives p = .158. The two fall on opposite sides of alpha = .05. The check cannot tell whether the statistic or the p-value is the misprint.

    Reported p < .05 · recomputed p = .158

1 of 1

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Doesn’t add upF(1, 39) = 2.07reported p < .05 · recomputed p = .158The two fall on opposite sides of .05

    “F(1, 39) = 2.07, p < .05”

  • Consistentt(24) = 19.9reported p < .05 · recomputed p < .001

    “t(24) = 19.9,p < .05”

2 of 2

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Figure 5 caption names the wrong comparison grade

    Minor

    The results describe Figure 5 as comparing median peer grades with self-assessed grades, but its caption says the percentages measure agreement with staff grades.

1 of 1

Citations

Cites

Flagged first, then by citations

Show all 97 references

Research works printed but not linked: 11

  1. H. Kim and P. Hinds . 2012. Harmony vs. disruption: The effect of iterative prototyping on teams creative processes and outcomes in the West and the East . In Proceedings of the ICIC: International Conference on Intercultural Collaboration. ACM. H. Kim and P. Hinds. 2012. Harmony vs. disruption: The effect of iterative prototyping on teams creative processes and outcomes in the West and the East. In Proceedings of the ICIC: International Conference on Intercultural Collaboration. ACM.
  2. J. Kurhila . 2012 . Human-Computer Interaction by Coursera opened for credit for the students of the Department . Retrieved December 13, 2013 from http://www.cs.helsinki.fi/en/uutiset/72025. J. Kurhila. 2012. Human-Computer Interaction by Coursera opened for credit for the students of the Department. Retrieved December 13, 2013 from http://www.cs.helsinki.fi/en/uutiset/72025.
  3. T. Lewin . 2012 a. Education site expands slate of universities and courses . The New York Times . September 19 , 2012 . T. Lewin. 2012a. Education site expands slate of universities and courses. The New York Times. September 19, 2012.
  4. T. Lewin . 2012 b. One course, 150,000 students . The New York Times . July 18 , 2012 . T. Lewin. 2012b. One course, 150,000 students. The New York Times. July 18, 2012.
  5. T. Lewin . 2013 a. College of future could be come one, come all . The New York Times . November 19 , 2012 . T. Lewin. 2013a. College of future could be come one, come all. The New York Times. November 19, 2012.
  6. T. Lewin . 2013 b. Five online courses are eligible for college credit . The New York Times . February 6 , 2013 . T. Lewin. 2013b. Five online courses are eligible for college credit. The New York Times. February 6, 2013.
  7. T. Lewin . 2013 c. Students rush to web classes, but profits may be much later . The New York Times . January 6 , 2013 . T. Lewin. 2013c. Students rush to web classes, but profits may be much later. The New York Times. January 6, 2013.
  8. T. Lewin . 2013 d. Universities abroad join partnerships on the web . The New York Times . February 20 , 2013 . T. Lewin. 2013d. Universities abroad join partnerships on the web. The New York Times. February 20, 2013.
  9. M. Szpir . 2002. Clickworkers on Mars. American Scientist 90, 3 ( 2002 ). M. Szpir. 2002. Clickworkers on Mars. American Scientist 90, 3 (2002).
  10. J. Widom . 2012 . From 100 Students to 100,000 . ACM SIGMOD Blog. Retreived December 13, 2013 from http://wp.sigmod.org/?p=165. J. Widom. 2012. From 100 Students to 100,000. ACM SIGMOD Blog. Retreived December 13, 2013 from http://wp.sigmod.org/?p=165.
  11. O. F. Zaidan and C. Callison-Burch . 2011 . Crowdsourcing translation: Professional quality from non-professionals. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics : Human Language Technologies , Vol. 1. 1220 -- 1229 . O. F. Zaidan and C. Callison-Burch. 2011. Crowdsourcing translation: Professional quality from non-professionals. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Vol. 1. 1220--1229.

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Metadata

Authors
Kulkarni, C., Wei, K. P., Le, H., Chia, D., Papadopoulos, K., Cheng, J., Koller, D., & Klemmer, S. R.
Affiliations
  • Stanford University (US)
  • Stanford University, and Coursera, Inc., Stanford, CA
  • Coursera, Inc., Mountain View, CA
Venue
ACM Transactions on Computer-Human Interaction
Published
2013-12
Volume
20
Issue
6
Pages
1-31
ISSN
  • 1073-0516 (ISSN-L)
  • 1557-7325
OpenAlex
W2088700588
Cited by
390
References
97
Citations by year
2026: 7 · 2025: 15 · 2024: 27 · 2023: 21 · 2022: 22 · 2021: 30 · 2020: 34 · 2019: 27 · 2018: 46 · 2017: 37 · 2016: 43 · 2015: 56 · 2014: 24 · 2013: 1
FWCI
199.15
Type
journal article
Language
en
Open access
Locations
ACM Transactions on Computer-Human Interaction (publishedVersion)
Funders
  • Division of Information and Intelligent Systems
  • Hasso Plattner Design Thinking Program
Topics
  • Social Sciences › Education › Student Assessment and Feedback
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Social Sciences › Education › Online and Blended Learning
Keywords
peer assessment, self-assessment, online learning, grading accuracy, rubric development, peer feedback, student self-assessment

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