Identifying thesis and conclusion statements in student essays to scaffold peer review

Falakmasir, MH and Ashley, KD and Schunn, CD and Litman, DJ (2014) Identifying thesis and conclusion statements in student essays to scaffold peer review. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8474 L. 254 - 259. ISSN 0302-9743

Preview	PDF Available under License : See the attached license file. Download (144kB) | Preview
	Plain Text (licence) Available under License : See the attached license file. Download (1kB)

Abstract

Peer-reviewing is a recommended instructional technique to encourage good writing. Peer reviewers, however, may fail to identify key elements of an essay, such as thesis and conclusion statements, especially in high school writing. Our system identifies thesis and conclusion statements, or their absence, in students' essays in order to scaffold reviewer reflection. We showed that computational linguistics and interactive machine learning have the potential to facilitate peer-review processes. © 2014 Springer International Publishing Switzerland.

---

Share

Citation/Export:	Select format... Citation - Text Citation - HTML Endnote BibTex Dublin Core OpenURL MARC (ISO 2709) METS MODS EP3 XML Reference Manager Refer
Social Networking:	Share |

---

Details

Item Type:	Article
Status:	Published
Creators/Authors:	Creators Email Pitt Username ORCID Falakmasir, MH Ashley, KD ashley@pitt.edu ASHLEY Schunn, CD schunn@pitt.edu SCHUNN 0000-0003-3589-297X Litman, DJ dlitman@pitt.edu DLITMAN
Centers:	Other Centers, Institutes, Offices, or Units > Learning Research & Development Center
Date:	1 January 2014
Date Type:	Publication
Access Restriction:	No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title:	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume:	8474 L
Page Range:	254 - 259
Event Type:	Conference
DOI or Unique Handle:	10.1007/978-3-319-07221-0_31
Institution:	University of Pittsburgh
Schools and Programs:	Dietrich School of Arts and Sciences > Computer Science Dietrich School of Arts and Sciences > Computer Science > Intelligent Systems Technical Reports Dietrich School of Arts and Sciences > Psychology School of Law > Law School of Law > Law > Faculty Publications
Refereed:	Yes
ISBN:	9783319072203
ISSN:	0302-9743
Related URLs:	Author Web site
Date Deposited:	14 Aug 2014 15:53
Last Modified:	21 Dec 2023 11:56
URI:	http://d-scholarship.pitt.edu/id/eprint/22675

---

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com

---

Actions (login required)

View Item