The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Transforming and constructing academic knowledge through online peer feedback in summary writing
Abstract
Recognizing that graduate students seldom have the opportunity to participate collaboratively, either in providing or receiving feedback to improve their academic writing skills, this study reports on the design of a computer-supported collaborative learning (CSCL) system used to investigate how graduate students transform and construct their academic knowledge through peer feedback when involved in summary writing. A sample of 24 graduate students who studied English as a foreign language was grouped into experimental and control groups, 13 and 11 graduate students in each group. The results of this study reveal that integrating the three key elements of a CSCL system facilitated improvement in the experimental group's summary writing. These key elements included (1) acquiring a basic understanding of main ideas by requesting keywords as scaffolds, (2) explicitly observing more proficient peers' writing processes when providing and receiving peer feedback (knowledge transformation), and (3) solving writing problems by revising their own summaries following peer feedback (knowledge construction). Based on the three key elements, the graduate students in the experimental group made more local (i.e., grammatical) and global revisions (i.e., text development, organization, and style) on their own as well as their peers’ summaries, compared with the graduate students in the control group. The effectiveness of online peer feedback on summary writing, in transforming and constructi…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“The findings are broadly consistent with previous studies conducted by Liang (2010) and Yang (2016) and confirm the consensus that e-PF helps students not only have an intense awareness of global features (e.g., essay organization, task achievement, and idea development) but also adequately address these features in their own writing.”
From Electronic Peer Feedback, EFL Academic Writing and Reflective Thinking: Evidence From a Confucian Context (2020) · cites this paper as Yang (2016)
In the citing paper
“The findings corroborate the ideas of previous studies (e.g., Ma, 2019; Q. Xu & Yu, 2018; Yang, 2016), in which e-PF triggers students' reflection upon their prior learning experience and fosters their critical reflective thinking.”
From Electronic Peer Feedback, EFL Academic Writing and Reflective Thinking: Evidence From a Confucian Context (2020) · cites this paper as Yang, 2016
Citations
Cites
The Construction of Shared Knowledge in Collaborative Problem Solving.
Roschelle, J., & Teasley, S. D. (1995) · Computer Supported Collaborative Learning · doi:10.1007/978-3-642-85098-1_5 · Cited by 2,274 · cited 1×
“Roschelle and Teasley (1995) define collaborative learning as “the mutual engagement of participants in a coordinated effort to solve the problem together” (p. 70).”
BackgroundImproving 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 · cited 2×
“The results correspond to the findings of previous studies (Gielen, Peeters, Dochy, Onghena, & Struyven, 2010; Loewen & Erlam, 2006; Yeh, in press) showing that transforming and constructing academic knowledge through peer feedback can improve graduate students’ reading comprehension and academic…”
BackgroundResultvan Gennip, N. A. E., Segers, M. S. R., & Tillema, H. H. (2010) · Learning and Instruction · doi:10.1016/j.learninstruc.2009.08.010 · Cited by 259
Hovardas, T., Tsivitanidou, O. E., & Zacharia, Z. C. (2014) · Computers & Education · doi:10.1016/j.compedu.2013.09.019 · Cited by 176 · cited 1×
“…online peer modeling and feedback, graduate students can clarify any illogical sentences and text confusion, when constructing new academic knowledge by reorganizing their thoughts in reading and writing texts (knowledge construction) (Hovardas, Tsivitanidou, & Zacharia, 2014; Yang, 2014).”
Background
Research works printed but not linked: 39
- 10.3200/JOER.97.4.171-185 · DOI
- 10.2307/1129901 · DOI
- 10.3758/BRM.40.2.540 · DOI
- 10.1080/09588221.2014.960942 · DOI · Paper page
- Chi F.M., 2001, The role of small-group text talk in EFL reading: A thematic analysis
- 10.1016/j.compedu.2005.02.004 · DOI
- 10.1080/09588220802447669 · DOI
- 10.1016/j.ipm.2007.01.015 · DOI
- Ferris D.R., 2003, Response to student writing: Implications for second language graduate students, 10.4324/9781410607201 · DOI · Paper page
- Flower, L. & Hayes, J. (1980). The dynamics of composing: Making plans and juggling constraints. In L. Gregg & E. Steinberg (Eds.), Cognitive process in writing (pp. 30–50). Hillsdale, NJ: Lawrence Erlbaum Associates.
- 10.1006/ceps.1999.1022 · DOI
- 10.1016/j.compcom.2007.03.002 · DOI
- 10.2307/3586851 · DOI
- 10.1016/S0360-1315(02)00019-2 · DOI
- Hirvela A., 2004, Connecting reading and writing in second language writing approach, 10.3998/mpub.23736 · DOI
- 10.1016/j.jeap.2012.11.005 · DOI
- 10.1016/j.linged.2008.06.003 · DOI
- 10.1016/j.compedu.2006.01.004 · DOI · Paper page
- Kintsch W., 1998, Comprehension: A paradigm for cognition
- 10.1037/0033-295X.85.5.363 · DOI · Paper page
- 10.1080/09588220802613807 · DOI
- 10.1016/j.learninstruc.2013.02.003 · DOI
- 10.1080/09588220600803311 · DOI
- 10.1080/00461528409529279 · DOI
- 10.1016/j.system.2004.11.003 · DOI
- 10.1016/j.jslw.2006.01.003 · DOI · Paper page
- Patton M.Q., 2002, Qualitative research and evaluation methods
- Scardamalia M., 2006, The Cambridge handbook of the learning sciences, 97
- Skalicky J., 2009, Peer learning framework: A community of practice model
- 10.1016/j.learninstruc.2007.06.002 · DOI
- 10.2307/747358 · DOI
- 10.4324/9781410603678 · DOI
- 10.1016/j.compedu.2010.05.021 · DOI
- Van Dijk T.A., 1983, Strategies of discourse comprehension
- Vygotsky L.S., 1978, Mind in society
- 10.1111/j.1467-8535.2010.01059.x · DOI
- 10.1080/09588221.2012.701633 · DOI
- Yang Y.F., 2013, Language Learning & Technology, 17, 220
- 10.1080/09588221.2014.881384 · DOI
Cited by
Sorted by citations
The role of technology-facilitated peer assessment and supporting strategies: a meta-analysis
Zheng, L., Zhang, X., & Cui, P. (2020) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2019.1644603 · Cited by 75
Pham, T. N., Lin, M., Trinh, V. Q., & Bui, L. T. P. (2020) · SAGE Open · doi:10.1177/2158244020914554 · Cited by 68
Does anonymity matter? Examining quality of online peer assessment and students' attitudes
Kobayashi, M. (2020) · Australasian Journal of Educational Technology · doi:10.14742/ajet.4694 · Cited by 29
“Online peer assessment is also beneficial to graduate students taking online courses as they generally have less opportunity for participating in real-time interaction with other students (Yang, 2016).”
BackgroundDelahoz-Dominguez, E. J., Guillen-Ibarra, S., & Fontalvo-Herrera, T. (2020) · Formación universitaria · doi:10.4067/s0718-50062020000100127 · Cited by 16
Gao, J., & Chen, W. (2025) · Language Awareness · doi:10.1080/09658416.2024.2321894 · Cited by 11
Metadata
- Authors
- Yang, Y.-F.
- Affiliations
- Graduate School of Applied Foreign Languages, National Yunlin University of Science and Technology, Douliu, Taiwan, R. O. C.
- Venue
- Computer Assisted Language Learning
- Publisher
- Informa UK Limited
- Published
- 2015-04-16
- Volume
- 29
- Issue
- 4
- Pages
- 683-702
- ISSN
- 0958-8221
- 1744-3210
- Cited by
- 64
- References
- 4
- Language
- en
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review