Automated Scoring and Annotation of Essays with the Intelligent Essay AssessorTM

Automated Essay Scoring: A Cross-Disciplinary Perspective

Volumn , Issue , 2003, Pages 82-106

  Landauer, Thomas K ^a   Laham, Darreil ^b   Foltz, Peter W ^c  

^a University of Colorado   (United States)

^b Knowledge Analysis Technologies   (United States)

^c NEW MEXICO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85142580172     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9781410606860-15     Document Type: Chapter

References (13)

1. Berry, M.W. (1992). Large scale singular value computations. International Journal of Supercomputer Applications, 6, 13-49.
2. Coombs, C. (1964). A theory of data. New York: John Wiley.
3. Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., and Harshman, R. (1990). Indexing by latent semantic analysis, Journal of the American Society For Information Science, 41, 391-407.
4. Foltz, P.W. (1996) Latent semantic analysis for text-based research. Behavior Research Methods, Instruments and Computers. 28, 197-202.
5. Foltz, P.W., Kintsch, W., and Landauer, T.K. (1998). Analysis of text coherence using latent semantic analysis. Discourse Processes, 25, 2and3, 285-307.
6. Landauer, T.K., and Dumais, S.T. (1997). A solution to Plato’s problem: The latent semantic analysis theory of the acquisition, induction, and representation of knowledge. Psychological Review, 104, 211-240.
7. Landauer, T.K., Foltz, P.W. and Laham, D. (1998) An introduction to latent semantic analysis. Discourse Processes, 25, 259-284.
8. Landauer, T.K., Laham, D., and Foltz, P.W., (1998). Learning human-like knowledge by singular value decomposition: A progress report In M.I. Jordan, M.J.Kearns and S.A.Solla (Eds.), Advances in neural information processing systems (pp. 45-51). Cambridge, MA: MIT Press.
9. Page, E.B. (1966). The imminence of grading essays by computer. Phi Delta Kappan, 48, 238-243.
10. Page, E.B. (1994). Computer grading of student prose, using modern concepts, and software. Journal of Experimental Education, 62, 127-142.
11. Shavelson, R.J., and Webb, N.M. (1991). Generalizability theory: A primer. Newbury Park, CA:Sage.
12. van Dijk, T.A., and Kintsch, W. (1983). Strategies of Discourse Comprehension. New York:Academic.
13. Wolfe, M.B., Schreiner, M.E., Render, B., Laham, D., Foltz, P.W., Kintsch, W., and Landauer, T.K. (1998). Learning from text: Matching readers and text by latent semantic analysis. Discourse Processes, 25, 309-336.