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