[Person photo]

Zahra Rahimi

Graduate Student, Dr. Litman

School of Arts and Sciences

Communication Science and Disorders

Faculty Advisor: Diane Litman

Rahimi, Z., Litman, D., Correnti, R., Wang, E., & Matsumura, L. C. (2017). Assessing students’ use of evidence and organization in response-to-text Writing: Using natural language processing for rubric-based automated scoring. International Journal of Artificial Intelligence in Education, 1-35.

Rahimi, Z., & Litman, D. (2016). Automatically extracting topical components for a response-to-text writing assessment. Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, 277–282.

Rahimi, Z., Litman, D. J., Correnti, R., Matsumura, L. C., Wang, E., & Kisa, Z. (2014). Automated scoring of an analytical response-to-text assessment. In Intelligent Tutoring Systems (pp. 601-610). Springer International Publishing.