Automatic quality assessment for peer reviews of student work

ASEE Annual Conference and Exposition, Conference Proceedings

Volumn , Issue , 2012, Pages

  Ramachandran, Lakshmi ^a   Gehringer, Edward F ^a,b  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b North Carolina State University   (United States)

Author keywords

Automated metareviewing; Latent semantic analysis; Review quality

Indexed keywords

COMPUTER AIDED INSTRUCTION; ENGINEERING EDUCATION; SEMANTICS; STUDENTS;

AUTOMATED METAREVIEWING; COLLABORATIVE LEARNING ENVIRONMENT; E-COMMERCE APPLICATIONS; IMMEDIATE FEEDBACKS; LATENT SEMANTIC ANALYSIS; QUALITY OF PRODUCT; REVIEW QUALITY; SUPERVISED CLASSIFICATION;

QUALITY CONTROL;

EID: 85029071140     PISSN: None     EISSN: 21535965     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. K. Cho, "Machine classification of peer comments in physics," in Educational Data Mining, 2008, pp. 192-196.
2. E. F. Gehringer, L. M. Ehresman, and W. P. Conger, S.G., "Reusable learning objects through peer review: The Expertiza approach," in Innovate: Journal of On- line Education, 2007.
3. E. F. Gehringer, "Expertiza: information management for collaborative learning," in In Monitoring and As- sessment in Online Collaborative Environments: Emergent Computational Technologies for E-Learning Support. IGI Global Press, 2009.
4. F. P. W. Landauer, T. K. and D. Laham. An introduction to latent semantic analysis. In Discourse Processes. Special Issue on Quantitative Approaches to Semantic Knowledge Representations, 259-284. Volume 25. 1998.
5. T. A. S. Pardo, L. H. M. Rino and Maria das Graças Volpe Nunes, "Extractive summarization: How to identify the gist of a text," in Proceedings of the 1st International Information Technology Symposium - I2TS, Florianpolis-SC, Brazil, October 1-5 2002, pp. 1-6.
6. Lakshmi Ramachandran and Edward F. Gehringer. 2011. Automated assessment of review quality using latent semantic analysis. 11th IEEE International Conference on Advanced Learning Technologies. 136-138 July.
7. R Development Core Team (2008). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org.
8. P. D. Turney, "Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews," in In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, 2002.