Learning to Identify Students' Off-Task Behavior in Intelligent Tutoring Systems. - Suleyman Cetintas; Luo Si; Yan Ping Xin; Casey Hord; Dake Zhang (AIED, 2009)

Predicting Correctness of Problem Solving from Low-level Log Data in Intelligent Tutoring Systems. - Suleyman Cetintas; Luo Si; Yan Ping Xin; Casey Hord (EDM, 2009)

Automatic Text Categorization of Mathematical Word Problems. - Suleyman Cetintas; Luo Si; Yan Ping Xin; Dake Zhang; Joo Young Park (FLAIRS, 2009)

Predicting Correctness of Problem Solving in ITS with a Temporal Collaborative Filtering Approach. - Suleyman Cetintas; Luo Si; Yan Ping Xin; Casey Hord (Intelligent Tutoring Systems (1), 2010)

Automatic Detection of Off-Task Behaviors in Intelligent Tutoring Systems with Machine Learning Techniques. - Suleyman Cetintas; Luo Si; Yan Ping Xin; Casey Hord (IEEE Trans. Learn. Technol., 2010)

Probabilistic latent class models for predicting student performance. - Suleyman Cetintas; Luo Si; Yan Ping Xin; Ron Tzur (CIKM, 2013)

A Joint Probabilistic Classification Model of Relevant and Irrelevant Sentences in Mathematical Word Problems. - Suleyman Cetintas; Luo Si; Yan Ping Xin; Dake Zhang; Joo Young Park; Ron Tzur (CoRR, 2014)

Visualizing Students' Eye Movement Data to Understand Their Math Problem-Solving Processes. - Shuang Wei; Yan Ping Xin; Yingjie Victor Chen (HCI (26), 2020)