[Person photo]

Elaine Wang

Graduate Student, Dr. Matsumura

School of Education

Learning Sciences and Policy

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.

Wang, E., Matsumura, L. C., & Correnti, R. (2017). Written feedback to support students’ higher level thinking about texts in writing. The Reading Teacher.

Matsumura. L. C., Wang, E., & Correnti, R. (2016). Text-based writing assignments for college readiness. Reading Teacher.70(3), 347-351.

Wang, E., Matsumura, L. C., DiPrima-Bickel, D., Correnti, R., Zook-Howell, D., Prine, D., & Walsh, M. (2016). Web-based professional development to improve text discussions. In EAPRIL Conference Proceedings 2015. Belval, Luxembourg. European Association for Practitioner Research on Improving Learning.

Matsumura, L. C., Correnti, R., Wang, E. (2015). Classroom Writing Tasks and Students' Analytic Text-Based Writing. Reading Research Quarterly.

Rahimi, Z., Litman, D., Wang, E., Correnti, R. (2015). Incorporating coherence of topics as a criterion in automatic response-to-text assessment of the organization of writing. Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications, 20-30.

Matsumura, L. C., Wang, E. (2014). Principals' sensemaking of coaching for ambitious reading instruction in a high-stakes accountability policy environment. Educational Policy and Analysis Archives, 22(51).

Correnti, R., Matsumura, Hamilton, L.S., Wang, E. (2013). Assessing Students' Skills at Writing in Response to Texts. Elementary School Journal, 114(2), 142-177.

Pittsburgh Promise 2013 report to the community features the work of LRDC's Evaluation for Learning Group, Jen Iriti, Bill Bickel, Julia Kaufman, and Elaine Wang

September 24, 2013

Pittsburgh Post-Gazette