Office: 705 LRDC
Phone: (412) 624--7492
Graduate Student, Dr. Litman
School of Arts and Sciences
Faculty Advisor: Jingtao Wang
Fan X., Luo, W., & Wang, J. (2017). Mastery learning of second language through asynchronous modeling of native speakers in a collaborative mobile game. Proceedings of ACM Conference on Human Factors in Computing Systems (CHI 2017), pp. 4887-4898.
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., 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., Litman, D. (2016). Determining the quality of a student reflective response. Proceedings of the 29th International Florida Artificial Intelligence Research Society Conference.
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