Natural Language Processing techniques for researching and improving peer feedback

dc.creator	Wenting Xiong, Diane Litman & Christian Schunn
dc.date	2012-11-01T00:00:00Z
dc.date.accessioned	2015-07-20T22:08:28Z
dc.date.available	2015-07-20T22:08:28Z
dc.identifier	2030-1006
dc.identifier	https://doaj.org/article/ef5a8f75185946959a2fd175ef1ef9bd
dc.identifier.uri	http://evidence.thinkportal.org/handle/123456789/12042
dc.description	Peer review has been viewed as a promising solution for improving students' writing, which still remains a great challenge for educators. However, one core problem with peer review of writing is that potentially useful feedback from peers is not always presented in ways that lead to revision. Our prior investigations found that whether students implement feedback is significantly correlated with two feedback features: localization information and concrete solutions. But focusing on feedback features is time-intensive for researchers and instructors. We apply data mining and Natural Language Processing techniques to automatically code reviews for these feedback features. Our results show that it is feasible to provide intelligent support to peer review systems to automatically assess students' reviewing performance with respect to problem localization and solution. We also show that similar research conclusions about helpfulness perceptions of feedback across students and different expert types can be drawn from automatically coded data and from hand-coded data.
dc.language	English
dc.publisher	University of Antwerp
dc.relation	http://jowr.org/Ccount/click.php?id=54
dc.relation	https://doaj.org/toc/2030-1006
dc.rights	CC BY-NC-ND
dc.source	Journal of Writing Research , Vol 4, Iss 2, Pp 155-176 (2012)
dc.subject	peer review
dc.subject	artificial intelligence
dc.subject	feedback features
dc.subject	coding
dc.subject	Philology. Linguistics
dc.subject	P1-1091
dc.subject	Language and Literature
dc.subject	P
dc.subject	DOAJ:Linguistics
dc.subject	DOAJ:Languages and Literatures
dc.subject	Psychology
dc.subject	BF1-990
dc.subject	Philosophy. Psychology. Religion
dc.subject	B
dc.subject	DOAJ:Psychology
dc.subject	DOAJ:Social Sciences
dc.subject	Special aspects of education
dc.subject	LC8-6691
dc.subject	Education
dc.subject	L
dc.subject	DOAJ:Education
dc.subject	DOAJ:Social Sciences
dc.subject	Philology. Linguistics
dc.subject	P1-1091
dc.subject	Language and Literature
dc.subject	P
dc.subject	DOAJ:Linguistics
dc.subject	DOAJ:Languages and Literatures
dc.subject	Psychology
dc.subject	BF1-990
dc.subject	Philosophy. Psychology. Religion
dc.subject	B
dc.subject	DOAJ:Psychology
dc.subject	DOAJ:Social Sciences
dc.subject	Special aspects of education
dc.subject	LC8-6691
dc.subject	Education
dc.subject	L
dc.subject	DOAJ:Education
dc.subject	DOAJ:Social Sciences
dc.subject	Philology. Linguistics
dc.subject	P1-1091
dc.subject	Language and Literature
dc.subject	P
dc.subject	Psychology
dc.subject	BF1-990
dc.subject	Philosophy. Psychology. Religion
dc.subject	B
dc.subject	Special aspects of education
dc.subject	LC8-6691
dc.subject	Education
dc.subject	L
dc.subject	Philology. Linguistics
dc.subject	P1-1091
dc.subject	Language and Literature
dc.subject	P
dc.subject	Psychology
dc.subject	BF1-990
dc.subject	Philosophy. Psychology. Religion
dc.subject	B
dc.subject	Special aspects of education
dc.subject	LC8-6691
dc.subject	Education
dc.subject	L
dc.subject	Philology. Linguistics
dc.subject	P1-1091
dc.subject	Language and Literature
dc.subject	P
dc.subject	Psychology
dc.subject	BF1-990
dc.subject	Philosophy. Psychology. Religion
dc.subject	B
dc.subject	Special aspects of education
dc.subject	LC8-6691
dc.subject	Education
dc.subject	L
dc.title	Natural Language Processing techniques for researching and improving peer feedback
dc.type	article