[Person photo]

Wencan Luo

Graduate Student, Dr. Litman

School of Arts and Sciences

Computer Science

Faculty Advisor: Jingtao Wang

Fan, X., Luo, W., Menekse, M., Litman, D. & Wang, J. (2017). Scaling Reflection Prompts in Large Classrooms via Mobile Interfaces and Natural Language Processing. Proceedings of the 22nd ACM Conference on Intelligent User Interfaces (IUI '17), pp363-374. ACM, New York, NY, USA.

Luo, W., Litman, D. (2016). Determining the quality of a student reflective response. Proceedings of the 29th International Florida Artificial Intelligence Research Society Conference.

Luo, W., Liu, F., Litman, D. (2016). An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses. Proceedings of the 26th International Conference on Computational Linguistics (COLING), Osaka, Japan, 2016.

Luo, W., Fan, X., Meneske, M., Wang, J., & Litman, D. (2015). Enhancing Instructor-Student and Student-Student Interactions with Mobile Interfaces and Summarization. Proceedings NAACL HLT Companion Volume.

Fan, X., Luo, W., Meneske, M., Litman, D., Wang, J. (2015). CourseMIRROR: Enhancing Large Classroom Instructor-Student Interactions via Mobile Interfaces and Natural Language Processing. Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 1473-1478. http://dx.doi.org/10.1145/2702613.2732853

Two of the three nominees for Best Student Paper at the 29th International Florida Artificial Intelligence Research Society Conference were first-authored by LRDC graduate students of Diane Litman. Wencan Luo, “Determining the Quality of a Student Reflective Response,” and Huy Nguyen, “Improving Argument Mining in Student Essays by Learning and Exploiting Argument Indicators versus Essay Topics.”

April 11, 2016