The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Scaffolded writing and rewriting in the discipline: A web-based reciprocal peer review system
Overview
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Citations
Cites
The Mutual Knowledge Problem and Its Consequences for Dispersed Collaboration
Cramton, C. D. (2001) · Organization Science · doi:10.1287/orsc.12.3.346.10098 · Cited by 1,916
What Do We Know about Proximity and Distance in Work Groups? A Legacy of Research
Kiesler, S., & Cummings, J. N. (2002) · Distributed Work · doi:10.7551/mitpress/2464.003.0007 · Cited by 340
Research works printed but not linked: 17
- Camerer, 1989, The curse of knowledge in economic settings: an experimental analysis, Journal of Political Economy, 97, 1232, 10.1086/261651 · DOI · Paper page
- Cho, K. (2004). When multi-peers give better advance than an expert: the type and impact of feedback given by students and an expert on student writing. Unpublished doctoral dissertation, University of Pittsburgh.
- Cho, K., & Schunn, C. D. (2003). Validity and reliability of peer assessments with a missing data estimation technique. In Proceedings of ED-Media 2003, Hawaii, USA.
- Cho, K., Schunn, C. D., & Lesgold, A. (2002). Comprehension monitoring and regulation in distance collaboration. In Proceedings of cognitive science conference, George Mason University, Virginia, USA.
- Cohen, 1987, Giving and getting feedback on composition: a comparison of teacher and student verbal report, Evaluation and Research in Education: The Durham and Newcastle Research Review, 63–73
- Cohen, 1989, The effect of distant audiences on students’ writing, American Educational Research Journal, 26, 143, 10.3102/00028312026002143 · DOI
- Flower, 1986, Detection diagnosis and the strategies of revision, College Composition and Communication, 37, 16, 10.2307/357381 · doi:10.2307/357381 · Paper page
- Hartman, 1995, Pattern of social interaction and learning to write: some effects of network technologies, Vol. 2
- Magin, 2001, Reciprocity as a source of bias in multiple peer assessment of group work, Studies in Higher Education, 26, 53, 10.1080/03075070020030715 · DOI
- Markman, 1979, Realizing that you don’t understand: elementary school children’s awareness of inconsistencies, Child Development, 50, 643, 10.2307/1128929 · doi:10.2307/1128929 · Paper page
- McCutchen, 2000, Knowledge processing and working memory: implications for a theory of writing, Educational Psychologist, 35, 13, 10.1207/S15326985EP3501_3 · DOI · Paper page
- Otero, 1992, Failures to detect contradictions in a text: what readers believe versus what they read, Psychological Science, 3, 229, 10.1111/j.1467-9280.1992.tb00034.x · DOI
- Rada, 1994, Collaborative hypermedia in a classroom setting, Journal of Educational Multimedia and Hypermedia, 3, 21
- Vera, A. H., Kvan, T., West, R. L., & Lai, S. (1998). Expertise, collaboration and bandwidth. In Proceeding of CHI 1998 (pp. 503–510). · doi:10.1145/274644.274712
- Webb, 1995, Group collaboration in assessment: multiple objectives, processes, and outcomes, Educational Evaluation and Policy Analysis, 17, 239, 10.3102/01623737017002239 · DOI
- Wess, R. C. (1980). Publishing student writing: an in-class model. Paper presented at the Annual meeting of the conference on college composition and communication, Washington, DC. Eric reproduction services number: ED 185 564.
- Zammuner, 1995, Individual and cooperative computer-writing and revising: who gets the best results?, Learning and Instruction, 5, 101, 10.1016/0959-4752(95)00005-N · DOI
Cited by
From monologue to dialogue: Improving written feedback processes in mass higher education.
Nicol, D. (2010) · Assessment & Evaluation in Higher Education · doi:10.1080/02602931003786559 · Cited by 1,060
Improving the effectiveness of peer feedback for learning
Gielen, S., Peeters, E., Dochy, F., Onghena, P., & Struyven, K. (2010) · Learning and Instruction · doi:10.1016/j.learninstruc.2009.08.007 · Cited by 615
The nature of feedback: How different types of peer feedback affect writing performance
Nelson, M. M., & Schunn, C. D. (2009) · Instructional Science · doi:10.1007/s11251-008-9053-x · Cited by 602
Self-citationCho, K., Schunn, C. D., & Wilson, R. W. (2006) · Journal of Educational Psychology · doi:10.1037/0022-0663.98.4.891 · Cited by 355
Self-citationHuisman, B., Saab, N., van den Broek, P., & van Driel, J. (2019) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2018.1545896 · Cited by 306
Metadata
- Authors
- Cho, K., & Schunn, C. D.
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2007-04
- Volume
- 48
- Issue
- 3
- Pages
- 409-426
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2098992709
- Cited by
- 521
- References
- 2
- FWCI
- 11.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.