The Eras and Trends of Automatic Short Answer Grading

Author:

Burrows Steven,Gurevych Iryna,Stein Benno

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Education

Reference176 articles.

1. Aleven, V., Ogan, A., Popescu, O., Torrey, C., Koedinger, K. (2004). Evaluating the effectiveness of a tutorial dialogue system for self-explanation. J.C. Lester, R.M. Vicari, F. Paraguacu (Eds.), Proceedings of the 7th international conference on intelligent tutoring systems volume 3220 of lecture notes in computer science (pp. 443–454). Maceio: Springer.

2. Alfonseca, E., & Pérez, D. (2004). Automatic assessment of open ended questions with a BLEU-inspired algorithm and shallow NLP. In J. Vicedo, P. Martínez-Barco, Muńoz, M. Saiz Noeda (Eds.), Advances in natural language processing, volume 3230 of lecture notes in computer science (pp. 25–35). Berlin: Springer.

3. Alfonseca, E., Carro, R.M., Freire, M., Ortigosa, A., Pérez, D., Rodriguez, P. (2005). Authoring of adaptive computer assisted assessment of free-text answers. Educational Technology & Society, 8(3), 53–65.

4. Attali, Y., & Burstein, J. (2006). Automated essay Scoring with e-rater V.2. The Journal of Technology, Learning, and Assessment, 4(3), 1–31.

5. Attali, Y., Powers, D., Freedman, M., Harrison, M., Obetz, S. (2008). Automated scoring of short-answer open-ended GRE subject test items. Technical Report RR-08-20. Princeton: Educational Testing Service.

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