Cetintas, S., Si, L., Xin, Y. P. and Hord, C. (To Appear). Detection of off-task behaviors in intelligent tutoring systems with machine learning techniques. Accepted with minor revision to IEEE Transactions on Learning Technologies (TLT).

Cetintas, S., Si, L., Xin, Y. P., Hord, C. and Zhang, D. (2009). Learning to identify students' off-task behavior in intelligent tutoring systems. In Proceedings of the 14th International Conference on Artificial Intelligence in Education (AIED2009), 701-703.

Cetintas, S., Si, L., Xin, Y. P. and Hord, C. (2009). Predicting correctness of problem solving from low-level log data in intelligent tutoring systems. In Proceedings of the 2nd International Conference on Educational Data Mining (EDM2009), 230-239.

Cetintas, S., Si, L., Xin, Y. P., Zhang, D. and Park, J. Y. (2009). Automatic text categorization of mathematical word problems. In Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS2009), 27-32.

Xin, Y. P., Wiles, B., & Lin, Y. (in press). Teaching Conceptual Model-Based Word-Problem Story Grammar to Enhance Mathematics Problem Solving. The Journal of Special Education.

Xin, Y. P. (in press). The effect of schema-based instruction in solving word problems: An emphasis on pre-algebraic conceptualization of multiplicative relations. Journal for Research in Mathematics Education.

Si, L. & Callan, J. A statistical model for scientific readability CIKM '01: Proceedings of the tenth international conference on Information and knowledge management, ACM Press, 2001, 574-576

K. Collins-Thompson and J. Callan. A language modeling approach to predicting reading difficulty. In Proc. of HLT/NAACL, pages 193–200, 2004.

Schwarm, S. E. & Ostendorf, M. Reading level assessment using support vector machines and statistical language models ACL '05: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, Association for Computational Linguistics, 2005, 523-530