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Modeling Classroom Discourse: Do Models of Predicting Dialogic Instruction Properties Generalize across Populations?, , , , , , and . EDM, page 444-447. International Educational Data Mining Society (IEDMS), (2015)Identifying Teacher Questions Using Automatic Speech Recognition in Classrooms., , , , , , , , and . SIGDIAL Conference, page 191-201. The Association for Computer Linguistics, (2016)Semi-Automatic Detection of Teacher Questions from Human-Transcripts of Audio in Live Classrooms., , , , , , , , and . EDM, page 288-291. International Educational Data Mining Society (IEDMS), (2016)A Study of Automatic Speech Recognition in Noisy Classroom Environments for Automated Dialog Analysis., , , , , , , , and . AIED, volume 9112 of Lecture Notes in Computer Science, page 23-33. Springer, (2015)Building an Intelligent PAL from the Tutor.com Session Database Phase 1: Data Mining., , , , , and . EDM, page 335-336. International Educational Data Mining Society (IEDMS), (2014)Domain Independent Assessment of Dialogic Properties of Classroom Discourse., , , , , , , , and . EDM, page 233-236. International Educational Data Mining Society (IEDMS), (2014)Discovering Theoretically Grounded Predictors of Shallow vs. Deep- level Learning., , , , and . EDM, page 229-232. International Educational Data Mining Society (IEDMS), (2014)Exploring real-time student models based on natural-language tutoring sessions., , , , , and . EDM, page 253-256. International Educational Data Mining Society (IEDMS), (2014)Hierarchical Dialogue Act Classification in Online Tutoring Sessions., , , and . EDM, page 600-601. International Educational Data Mining Society (IEDMS), (2015)Multi-Document Summarization Using Graph-Based Iterative Ranking Algorithms and Information Theoretical Distortion Measures., , , and . FLAIRS, AAAI Press, (2014)