| 2018 | EDM | Is the Doer Effect Robust Across Multiple Data Sets? | Kenneth R. Koedinger, Richard Scheines, Peter Schaldenbrand |
| 2016 | UAI | Measurement Error and Causal Discovery. | Richard Scheines, Joseph D. Ramsey |
| 2014 | EDM | Discovering Prerequisite Relationships Among Knowledge Components. | Richard Scheines, Elizabeth Silver, Ilya M. Goldin |
| 2013 | EDM | Student Profiling from Tutoring System Log Data: When do Multiple Graphical Representations Matter? | Ryan Carlson, Konstantin Genin, Martina A. Rau, Richard Scheines |
| 2013 | EDM | Does Representational Understanding Enhance Fluency - Or Vice Versa? Searching for Mediation Models. | Martina A. Rau, Richard Scheines, Vincent Aleven, Nikol Rummel |
| 2012 | EDM | Searching for Variables and Models to Investigate Mediators of Learning from Multiple Representations. | Martina A. Rau, Richard Scheines |
| 2011 | AIED | Using Tutors to Improve Educational Games. | Matthew W. Easterday, Vincent Aleven, Richard Scheines, Sharon M. Carver |
| 2010 | EDM | Unsupervised Discovery of Student Strategies. | Benjamin Shih, Kenneth R. Koedinger, Richard Scheines |
| 2009 | AIED | Will Google destroy western democracy? Bias in policy problem solving. | Matthew W. Easterday, Vincent Aleven, Richard Scheines, Sharon M. Carver |
| 2008 | EDM | A Response Time Model For Bottom-Out Hints as Worked Examples. | Benjamin Shih, Kenneth R. Koedinger, Richard Scheines |
| 2008 | UAI | Causal discovery of linear acyclic models with arbitrary distributions. | Patrik O. Hoyer, Aapo Hyvrinen, Richard Scheines, Peter Spirtes, Joseph D. Ramsey, Gustavo Lacerda, Shohei Shimizu |
| 2007 | AIED | 'Tis Better to Construct than to Receive? The Effects of Diagram Tools on Causal Reasoning. | Matthew W. Easterday, Vincent Aleven, Richard Scheines |
| 2007 | AIED | Optimizing Student Models for Causality. | Benjamin Shih, Kenneth R. Koedinger, Richard Scheines |
| 2006 | ICML | Bayesian learning of measurement and structural models. | Ricardo Bezerra de Andrade e Silva, Richard Scheines |
| 2005 | ICML | New d-separation identification results for learning continuous latent variable models. | Ricardo Bezerra de Andrade e Silva, Richard Scheines |
| 2005 | UAI | On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables. | Frederick Eberhardt, Clark Glymour, Richard Scheines |
| 2003 | UAI | Learning Measurement Models for Unobserved Variables. | Ricardo Bezerra de Andrade e Silva, Richard Scheines, Clark Glymour, Peter Spirtes |
| 2001 | AISTATS | Piecewise Linear Instrumental Variable Estimation of Causal Influence. | Richard Scheines, Gregory F. Cooper, Changwon Yoo, Tianjiao Chu |
| 2001 | UAI | Semi-Instrumental Variables: A Test for Instrument Admissibility. | Tianjiao Chu, Richard Scheines, Peter Spirtes |
| 1997 | AISTATS | Estimating Latent Causal Inferences: Tetrad II model selection and Bayesian parameter estimation. | Richard Scheines |