Students (Ph.D. and Graduate Teaching)

Ph.D. Supervision and Graduate Teaching


Graduate Students

Past Students

I am proud of my past Ph.D. students. They used their Ph.D. experience with me to further their careers and contribute to the academic community. I am proud of my students who have gone into teaching, academic research, industry research, and to start-up companies. Not only did they do great things, the time I spent advising them was some of the most enjoyable parts of my day and has brought great meaning to my life!

  1. Zach Pardos is now a tenure track professor at UC Berkeley. While at WPI he did some really great work on Bayesian Networks related research, wrote a number of papers, and won one of the KDD Cup Prizes. 

  2. Mingyu Feng was a Research Scientist at SRI (a nonprofit research-focused institute that used to be called Stanford Research International). She just moved to WestEd. See this and that.

  3. YuTao Wang joined Google in September 2015. She did wonderful work in data mining and pushing the field to utilize this tool on many important topics such as how we can know if students have acquired knowledge rather than simply predict future performance. (Ph.D. Dissertation)

  4. Yue Gong is now at Facebook (WPI pageLS&T Page). Her work led to identifying, and naming, "wheel spinning" (with Joe Beck), which is the state of persisting but not productively. (We received an NSF grant around this idea of hers.)

  5. Jozsef Patvarczki graduated in 2012. He joined a startup in Silicon Valley that provides a Hadoop-as-a-Service. Hadoop is a scalable database, and his thesis focused on paralleling databases. His most recent project was working for a new startup called CARET

  6. Leena Razzaq is a great teacher at Northeastern University. Her research helped create ASSISTments!

  7. Doug Selent graduated in 2017 and is now a Teaching Professor at WPI. His Ph.D. dissertation is here.

  8. Siyuan Zhao is at Amazon.

  9. Seth Adjei just finished his Ph.D. in the summer of 2018.

  10. Kim Kelly, a full-time public middle school teacher, completed her Ph.D. in 2018.  

  11. Korinn Ostrow, who graduated in 2018, is now a Research Scientist at WPI where she is the Co-PI on a grant obtained in the last year of her graduate program. 

 

My Current Ph.D. Students  

  1. Anthony Botelho (Expected to Graduate 2019)

  2. Thanaporn "March" Patikorn (Started 2015)

  3. Xiwen Lu (Started 2016) 

  4. Ashish Gurung (Started 2018)

Current Master's Students

  1. Ashvini Varatharaj (Started 2018)

  2. Paritosh Goel (Started 2018)

  3. Meghana V. Kasal (Started 2018)

 

Recent Master's Alumni

  1. Xiaolu Xiong (Joe Beck is his primary advisor, but his work on ARRS is part of ASSISTments)

  2. Yan Wang

  3. Eric VanInwegen

  4. Biao Yin

  5. Liang Zhang 

 

Adviser of 25 Master's Theses

  • Here is a list of all my master's students and a link to their thesis sorted by date. The Ph.D. referenced above are listed as well.

Author Name

Title

Date

Ph.D. or Master's

Razzaq, Leena M

Tutorial Dialog in an Equation Solving Intelligent Tutoring System

12/11/2003

Master's

Csizmadia, Vilmos

Constructing an Authoring Tool for Intelligent Tutoring Systems with Hierarchical Domain Models

12/15/2003

Master's

Jarvis, Matthew P

Applying Machine Learning Techniques to Rule Generation in Intelligent Tutoring Systems

4/8/2004

Master's

Croteau, Ethan

Evaluating Predictions of Transfer and Analyzing Student Motivation

4/21/2004

Master's

Freyberger, Jonathan E

Using Association Rules to Guide a Search for Best Fitting Transfer Models of Student Learning

4/22/2004

Master's

Livak, Thomas Michael

Collaborative Warrior Tutoring

8/19/2004

Master's

Choksey, Sanket Dinesh

Developing an Affordable Authoring Tool For Intelligent Tutoring Systems

8/20/2004

Master's

Turner, Terrence E

The Assistment Builder: A tool for rapid tutor development

11/3/2005

Master's

Nuzzo-Jones, Goss F

The Common Tutor Object Platform

11/11/2005

Master's

Walonoski, Jason A

Visual Feedback for Gaming Prevention in Intelligent Tutoring Systems

12/2/2005

Master's

Macasek, Michael A.

Towards Teachers Quickly Creating Tutoring Systems

12/6/2005

Master's

Upalekar, Ruta Sunil

Tools to help build models that predict student learning

12/14/2005

Master's

Varde, Aparna S

Graphical Data Mining for Computational Estimation in Materials Science Applications

8/15/2006

On Ph.D. Committee

Lloyd, Nicholas M

Measuring Student Engagement in an Intelligent Tutoring System

4/19/2007

Master's

Rasmussen, Kai

Developing a Cognitive Rule-Based Tutor for the ASSISTment System

12/11/2007

Master's

Feng, Mingyu

Towards Assessing Students' Fine Grained Knowledge: Using an Intelligent Tutor for Assessment

8/25/2009

Ph.D.

Razzaq, Leena M

Investigating Learning in an Intelligent Tutoring System through Randomized Controlled Experiments

8/26/2009

Ph.D.

Forbes-Summers, Elijah

Trying to Reduce Gaming Behavior by Students in Intelligent Tutoring Systems

4/272010

Master's

Dailey, Matthew D

Learning the Effectiveness of Content and Methodology in an Intelligent Tutoring System

5/2/2011

Master's

Goldstein, Adam B

Responding to Moments of Learning

5/2/2011

Master's

Kehrer, Paul H

Reaching More Students: A Web-based Intelligent Tutoring System with support for Offline Access

4/24/2012

Master's

Trivedi, Shubhendu

A Graph Theoretic Clustering Algorithm based on the Regularity Lemma and Strategies to Exploit Clustering for Prediction

4/25/2012

Master's

Pardos, Zachary Alexander

Predictive Models of Student Learning

4/26/2012

Ph.D.

Patvarczki, Jozsef

Layout Optimization for Distributed Relational Databases Using Machine Learning

7/3/2012

Ph.D.

Qiu, Yumeng

Leveraging Influential Factors into Bayesian Knowledge Tracing

1/3/2013

Master's

Bodah, Joshua

Leveraging User Testing to Address Learnability Issues for Teachers Using ASSISTments

4/19/2013

Master's

Hobbs, Bryan

Improving Educational Content: A Web- based Intelligent Tutoring System with Support for Teacher Collaboration

4/19/2013

Master's

Whorton, Skyler

Can a computer adaptive assessment system determine, better than traditional methods, whether students know mathematics skills?

4/19/2013

Master's

Belhumeur, Corey T

An Empirical Evaluation of Student Learning by the Use of a Computer Adaptive System

4/22/2013

Master's

Broderick, Zachary

Increasing parent engagement in student learning using an Intelligent Tutoring System with Automated Messages

3/1/2015

Master's

William Hawkins

Boredom and student modeling in intelligent tutoring systems

4/23/2014

Master's

Christopher Donnelly

Enhancing Personalization Within ASSISTments

4/27/2015

Master's

Yutao Wang

Student Modeling within a Computer Tutor for Mathematics: Using Bayesian Networks and Tabling Methods

8/2015

Ph.D.

Yan Wang

Student Modeling From Different Aspects

4/14/2016

Master's

Hao,Wan

Tutoring Students with Adaptive Strategies

1/13/2017

On Ph.D. Committee

Arkar Min Aung

Automatic Eye-Gaze Following from 2-D Static Images: Application to Classroom Observation Video Analysis

4/19/18

Master's

Korinn Ostrow

A Foundation For Educational Research at Scale: Evolution and Application

4/26/18

Ph.D.

Siyuan Zhao

Towards Personalized Learning using Counterfactual Inference for Randomized Controlled Trials

4/26/18

Ph.D.

Seth Adjei

Refining Prerequisite Skill Structure Graphs Using Randomized Controlled Trials

4/25/18

Ph.D.

Kim Kelly

A Set of Experiments Investigating methods to Improve Student Learning

10/10/18

Ph.D.