Assessing Students’ Use of Evidence and Organization in Response-to-Text Writing: Using Natural Language Processing for Rubric-Based Automated Scoring

Author:

Rahimi Zahra,Litman Diane,Correnti Richard,Wang Elaine,Matsumura Lindsay Clare

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Education

Reference57 articles.

1. Attali, Y. (2011). A differential word use measure for content analysis in automated essay scoring. ETS Research Report Series, 2011(2), i–19.

2. Attali, Y., & Burstein, J. (2006). Automated essay scoring with e-rater v. 2. The Journal of Technology, Learning and Assessment, 4(3), 1–29.

3. Attali, Y., & Powers, D. (2008). A developmental writing scale. Wiley Online Library. ETS Research Report Series RR-08-19, 2008(1). http://www.ets.org/Media/Research/pdf/RR-08-19.pdf .

4. Attali, Y., Lewis, W., & Steier, M. (2013). Scoring with the computer: Alternative procedures for improving the reliability of holistic essay scoring. Language Testing, 30(1), 125–141. Sage Publications Sage UK: London, England.

5. Bacha, N. (2001). Writing evaluation: what can analytic versus holistic essay scoring tell us? System, 29(3), 371–383.

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