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Contribution to Book
The Effect of an Intelligent Tutor on Math Problem-Solving of Students with Learning Disabilities
STEM Faculty Presentations
  • Xiaojun Ma, Purdue University
  • Yan Ping Xin, Purdue University
  • Ron Tzur, University of Colorado Denver
  • Luo Si, Purdue University
  • Xuan Yang, Purdue University
  • Joo Young Park, Purdue University
  • Jia Liu, Purdue University
  • Rui Ding, Purdue University
Document Type
Conference Proceeding
Publication Date
Reform-based math instruction calls for students’ construction of conceptual understanding, solving challenging problems and explanation of reasoning. However, existing literature shows that students with learning disabilities (LD) easily get lost in reform-based instruction. As an outcome of collaborative work between math education and special education in instructing students with D, we’ve developed an intelligent tutor (PGBM-COMPS) to nurture multiplicative reasoning of students with LD. The intelligent tutor dynamically models individual student's evolving conceptions and recommends tasks to promote her/his advancement to a higher level in the learning trajectory and solve complex word problems using mathematical model equations. This study evaluated the effect of this intelligent tutor on improving multiplicative reasoning and problem solving of students with LD.

Link to Dr. Yan Pang Xin's faculty page:

Citation Information
Ma, X., Xin, Y. P., Tzur, R., Si, L., Yang, X., Park, J. Y., . . . Ding, R. (2014). The effect of an intelligent tutor on math problem-solving of students with learning disabilities. In S. Oesterle, C. Nicol, P. Liljedahl & D. Allan (Eds.), Proceedings of the Joint Meeting of PME 38 and PME-NA 36 (Vol. 4, pp. 145-152). Vancouver, Canada: PME.