| 2017 | EDM | Workshop proposal: deep learning for educational data mining. | Joseph Beck, Min Chi, Ryan S. Baker |
| 2017 | EDM | Using a Single Model Trained across Multiple Experiments to Improve the Detection of Treatment Effects. | Thanaporn Patikorn, Douglas Selent, Neil T. Heffernan, Joseph Beck, Jian Zou |
| 2016 | EDM | Going Deeper with Deep Knowledge Tracing. | Xiaolu Xiong, Siyuan Zhao, Eric Van Inwegen, Joseph Beck |
| 2016 | LAK | Enhancing the efficiency and reliability of group differentiation through partial credit. | Yan Wang, Korinn Ostrow, Joseph Beck, Neil T. Heffernan |
| 2015 | EDM | Considering the Influence of Prerequisite Performance on Wheel Spinning. | Hao Wan, Joseph Beck |
| 2014 | ITS | Understanding Wheel Spinning in the Context of Affective Factors. | Joseph Beck, Ma. Mercedes T. Rodrigo |
| 2013 | AIED | Class vs. Student in a Bayesian Network Student Model. | Yutao Wang, Joseph Beck |
| 2013 | EDM | Limits to accuracy: how well can we do at student modeling? | Joseph Beck, Xiaolu Xiong |
| 2013 | EDM | Modeling student retention in an environment with delayed testing. | Shoujing Li, Xiaolu Xiong, Joseph Beck |
| 2013 | EDM | Causal Modeling to Understand the Relationship between Student Attitudes, Affect and Outcomes. | Dovan Rai, Joseph Beck, Ivon Arroyo |
| 2012 | EDM | Incorporating Factors Influencing Knowledge Retention into a Student Model. | Yutao Wang, Joseph Beck |
| 2011 | EDM | Items, Skills, and Transfer Models: Which Really Matters for Student Modeling? | Yue Gong, Joseph Beck |
| 2011 | EDM | Exploring User Data From a Game-like Math Tutor: A Case Study in Causal Modeling. | Dovan Rai, Joseph Beck |
| 2010 | EDM | Tracking Students' Inquiry Paths through Student Transition Analysis. | Matthew Bachmann, Janice D. Gobert, Joseph Beck |
| 2009 | EDM | Back to the future: a non-automated method for constructing transfer models. | Ming Feng, Joseph Beck |
| 2009 | EDM | Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning. | Mingyu Feng, Joseph Beck, Neil T. Heffernan |
| 2009 | EDM | Does Self-Discipline impact students' knowledge and learning?. | Yue Gong, Dovan Rai, Joseph Beck, Neil T. Heffernan |
| 2009 | EDM | Why, What, and How to Log? Lessons from LISTEN. | Jack Mostow, Joseph Beck |
| 2009 | EDM | Using Dirichlet priors to improve model parameter plausibility. | Dovan Rai, Yue Gong, Joseph Beck |
| 2006 | ITS | Better Student Assessing by Finding Difficulty Factors in a Fully Automated Comprehension Measure. | Brooke Soden Hensler, Joseph Beck |
| 2005 | AIED | When do Students Interrupt Help? Effects of Time, Help Type, and Individual Differences. | Cecily Heiner, Joseph Beck, Jack Mostow |
| 2005 | AIED | A Generic Tool to Browse Tutor-Student Interactions: Time Will Tell! | Jack Mostow, Joseph Beck, Andrew Cuneo, Evandro Gouvea, Cecily Heiner |
| 2004 | ITS | Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes. | Joseph Beck, Ryan Shaun Baker, Albert T. Corbett, Judy Kay, Diane J. Litman, Tanja Mitrovic, Steven Ritter |
| 2002 | Interspeech | Predicting oral reading miscues. | Jack Mostow, Joseph Beck, S. Vanessa Winter, Shaojun Wang, Brian Tobin |
| 2000 | AAAI | ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction. | Joseph Beck, Beverly Park Woolf, Carole R. Beal |
| 2000 | ITS | Macroadapting Animalwatch to Gender and Cognitive Differnces with Respect to Hint Interactivity and Symbolism. | Ivon Arroyo, Joseph Beck, Beverly Park Woolf, Carole R. Beal, Klaus Schultz |
| 2000 | ITS | W3 - Applying Machine Learning to ITS Design/Construction. | Joseph Beck |
| 2000 | ITS | High-Level Student Modeling with Machine Learning. | Joseph Beck, Beverly Park Woolf |
| 1998 | AAAI | Learning to Teach with a Reinforcement Learning Agent. | Joseph Beck |
| 1996 | ITS | Adaptation of Problem Presentation and Feedback in an Intelligent Mathematics Tutor. | Mia Stern, Joseph Beck, Beverly Park Woolf |