Name: Zachary A. Pardos (zpardos@wpi) Major: Computer Science Degree status: Ph.D. Candidate National Science Foundation GK-12 Fellow

Acknowledgement: This material is based in part upon work supported by the National Science Foundation under the GK-12 PIMPSE Grant.  Disclaimer: Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Conference Publications (full chapter proceedings)

2009: 2009:	Detecting the learning value of items in a randomized problem set - AIED - PDF Determining the significance of item order in randomized problem sets - EDM - PDF ^=> Best Paper Award (student first author)
2008:	The composition effect: conjunctive or compensatory? An analysis of multi-skill math questions in ITS - EDM - PDF

Workshop Publications (poster paper and workshop proceedings)

2008:	Effective skill assessment using expectation maximization in a multi network temporal Bayesian network - ITS - PDF
2007: 2007:	Analyzing fine-grained skill models using Bayesian and mixed effect methods - AIED - PDF, Poster The effect of model granularity on student performance prediction using bayesian networks - UM - PDF, 5-page, Poster
2006:	Using fine-grained skill models to fit student performance with Bayesian networks - ITS - PDF