An Investigation of the e-rater ® Automated Scoring Engine's Grammar, Usage, Mechanics, and Style Microfeatures and Their Aggregation Model

Author:

Chen Jing1,Zhang Mo1,Bejar Isaac I.1

Affiliation:

1. Educational Testing Service; Princeton NJ

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Applied Psychology,Education,Social Psychology

Reference28 articles.

1. Almond , S. 2008 Exploratory analysis of GRE ® e-rater ® data

2. Attali , Y 2007 Construct validity of e-rater in scoring TOEFL essays http://dx.doi.org/10.1002/j.2333-8504.2007.tb02063.x

3. Performance of a generic approach in automated essay scoring;Attali;The Journal of Technology, Learning, and Assessment,2010

4. Automated essay scoring with e-rater® v. 2;Attali;The Journal of Technology, Learning, and Assessment,2006

5. Attali , Y. Powers , D. E. Freedman , M. Harrison , M. Obetz , S. 2008 Automated scoring of short-answer open-ended GRE Subject Test items http://dx.doi.org/10.1002/j.2333-8504.2008.tb02106.x

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