Related Publications

  • Cetintas, S., Si, L., Xin, Y. P. and Tzur, R. (2013). Probabilistic latent class models for predicting student performance. In the 22nd ACM Conference on Information and Knowledge Management (CIKM'13). To Appear.
  • Cetintas, S., Si, L., Xin, Y. P., Hord, C., Zhang, D., Park, J. Y. and Tzur, R. (2010). A joint probabilistic classification model of relevant and irrelevant sentences in math word problems. In Journal of Educational Data Mining. 2, 1; 83-110.
  • Cetintas, S., Si, L., Xin, Y. P., Hord, C. (2010). Predicting correctness of problem solving in ITS with a temporal collaborative filtering approach. In the 10th International Conference on Intelligent Tutoring Systems (ITS'10), 15-24; Springer Verlag.
  • Cetintas, S., Si, L., Xin, Y. P., Hord, C. (2010). Automatic detection of off-task behaviors in intelligent tutoring systems with machine learning techniques. In IEEE Transactions on Learning Technologies. 3, 3; 228-236.
  • 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 the 14th International Conference on Artificial Intelligence in Education (AIED'09), 701-703; IOS Press.
  • 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 the 2nd International Educational Data Mining Conference (EDM'09), 230-239.
  • Cetintas, S., Si, L., Xin, Y. P., Zhang, D. and Park, J. Y. (2009). Automatic text categorization of mathematical word problems. In the 22nd International FL Artificial Intelligence Research Society Conference (FLAIRS'09), 27-32; AAAI Press.
  • 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

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