Author: Zachary A. Pardos
Ph.D Student Fellow
Zach Pardos works as an NSF funded fellow at Worcester Polytechnic Institute. He is pursuing a Ph.D. degree in Computer Science with advisor Neil Heffernan in the field of Intelligent Tutoring Systems. Zach\'s research focuses on using advanced machine learning techniques, such as Bayesian Network, to create accurate models of learning that can detect effective tutoring content and predict student achievement.
Publications
Co-authors
Productive Colleagues
Publications
Pardos, Zachary A., Heffernan, Neil T., Anderson, Brigham, Linquist-Heffernan, Cristina (2007): The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks. In: Conati, Cristina, McCoy, Kathleen F., Paliouras, Georgios (eds.) User Modeling 2007 - 11th International Conference - UM 2007 June 25-29, 2007, Corfu, Greece. pp. 435-439. https://dx.doi.org/10.1007/978-3-540-73078-1_60
Pardos, Zachary A., Heffernan, Neil T. (2010): Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing. In: Proceedings of the 2010 Conference on User Modeling, Adaptation and Personalization , 2010, . pp. 255-266. https://www.springerlink.com/content/T53466280020K205
Baker, Ryan S. J. d., Pardos, Zachary A., Gowda, Sujith M., Nooraei, Bahador B., Heffernan, Neil T. (2011): Ensembling Predictions of Student Knowledge within Intelligent Tutoring Systems. In: Proceedings of the 2011 Conference on User Modeling, Adaptation and Personalization , 2011, . pp. 13-24. https://www.springerlink.com/content/2583971022V38370
Pardos, Zachary A., Heffernan, Neil T. (2011): KT-IDEM: Introducing Item Difficulty to the Knowledge Tracing Model. In: Proceedings of the 2011 Conference on User Modeling, Adaptation and Personalization , 2011, . pp. 243-254. https://www.springerlink.com/content/700W38580UR60483