Show simple item record

dc.contributor.authorCheung, Yin Lingen
dc.date.accessioned2018-08-13T13:34:01Z
dc.date.available2018-08-13T13:34:01Z
dc.date.issued2018-08
dc.identifier.citationCheung, Y.L. (2018) 'Peer review activity and a search‐engine based corpus system', Journal of pedagogic development 8 (2) 8-15en
dc.identifier.issn2047-3265
dc.identifier.urihttp://hdl.handle.net/10547/622824
dc.description.abstractFor the past two decades, we have witnessed a number of peer review research studies in both first and second/foreign language writing classrooms. Few studies, however, have been done to build a custom search‐engine based corpus system that performs searches on relevant texts for academic writing tasks, such as peer review activity. The study investigates students’ perception of the peer feedback task using a search‐engine based corpus system called Word Engine. The participants were 322 first‐year undergraduates across disciplines who took an academic writing course at a large public university in Singapore. Data were collected from background questionnaires about the participants, peer reviews on first drafts of the students’ papers, and students’ final papers after incorporating feedback from the peer review. Findings showed that students believed that peer feedback activity was useful. They made revisions on various aspects including discussion of results, the development of ideas, macro‐rhetorical goal of the paper, and the use of academic language such as hedges. Students used Word Engine because it excluded all nonacademic websites. The study contributes to the field of academic writing and corpus linguistics, particularly how peer feedback with the use of Word Engine can promote student autonomy in learning.
dc.language.isoenen
dc.publisherUniversity of Bedfordshireen
dc.relation.urlhttps://journals.beds.ac.uk/ojs/index.php/jpd/article/view/451en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectacademic writingen
dc.subjectpeer reviewen
dc.subjectsearch-engine based corpus systemen
dc.subjectundergraduate studentsen
dc.subjectX342 Academic studies in Higher Educationen
dc.titlePeer review activity and a search‐engine based corpus systemen
dc.typeArticleen
dc.contributor.departmentNanyang Technological Universityen
dc.identifier.journalJournal of pedagogic developmenten
html.description.abstractFor the past two decades, we have witnessed a number of peer review research studies in both first and second/foreign language writing classrooms. Few studies, however, have been done to build a custom search‐engine based corpus system that performs searches on relevant texts for academic writing tasks, such as peer review activity. The study investigates students’ perception of the peer feedback task using a search‐engine based corpus system called Word Engine. The participants were 322 first‐year undergraduates across disciplines who took an academic writing course at a large public university in Singapore. Data were collected from background questionnaires about the participants, peer reviews on first drafts of the students’ papers, and students’ final papers after incorporating feedback from the peer review. Findings showed that students believed that peer feedback activity was useful. They made revisions on various aspects including discussion of results, the development of ideas, macro‐rhetorical goal of the paper, and the use of academic language such as hedges. Students used Word Engine because it excluded all nonacademic websites. The study contributes to the field of academic writing and corpus linguistics, particularly how peer feedback with the use of Word Engine can promote student autonomy in learning.


Files in this item

Thumbnail
Name:
451-1177-1-PB.pdf
Size:
276.4Kb
Format:
PDF
Description:
final version

This item appears in the following Collection(s)

Show simple item record

http://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/