| 2026 | AIED | Short, Long, or Affective: Evaluating LLM-Generated Feedback Styles for Student Learning. | Eamon Worden, Morgan P. Lee, Abubakir Siedahmed, Adam Sales, Jiayi Zhang, Roee Shraga, Neil T. Heffernan |
| 2025 | EDM | Fully Latent Principal Stratification with Misspecified Measurement Models in Intelligent Tutoring Systems. | Yanping Pei, Adam Sales, Hyeon-Ah Kang, Tiffany A. Whittaker |
| 2025 | EDM | Effect estimates using publicly available school-level data in a cluster-randomized educational experiment. | Adam Sales, Charlotte Z. Mann, Johann Gagnon-Bartsch, Neil T. Heffernan |
| 2025 | EDM | CausalEDM: Linking Innovations in Instructional Design and the Complex Behaviors that Underlie Learning Processes and Outcomes. | Kirk Vanacore, Anthony F. Botelho, Avery Closser, Adam Sales, Neil T. Heffernan |
| 2024 | EDM | Power Calculations for Randomized Controlled Trials with Auxiliary Observational Data. | Jaylin Lowe, Charlotte Z. Mann, Jiaying Wang, Adam Sales, Johann A. Gagnon-Bartsch |
| 2024 | EDM | Using Publicly Available Auxiliary Data to Improve Precision of Treatment Effect Estimation in a Randomized Efficacy Trial. | Charlotte Z. Mann, Jiaying Wang, Adam Sales, Johann A. Gagnon-Bartsch |
| 2024 | EDM | Boosting Precision in Educational A/B Tests Using Auxiliary Information and Design-Based Estimators. | Yanping Pei, Adam Sales, Johann Gagnon-Bartsch |
| 2024 | LAK | The Effect of Assistance on Gamers: Assessing The Impact of On-Demand Hints & Feedback Availability on Learning for Students Who Game the System. | Kirk Vanacore, Ashish Gurung, Adam Sales, Neil T. Heffernan |
| 2023 | EDM | Effective Evaluation of Online Learning Interventions with Surrogate Measures. | Ethan Prihar, Kirk Vanacore, Adam Sales, Neil T. Heffernan |
| 2022 | AIED | More Powerful A/B Testing Using Auxiliary Data and Deep Learning. | Adam Sales, Ethan Prihar, Johann Gagnon-Bartsch, Ashish Gurung, Neil T. Heffernan |
| 2022 | EDM | Exploring Common Trends in Online Educational Experiments. | Ethan Prihar, Manaal Syed, Korinn Ostrow, Stacy T. Shaw, Adam Sales, Neil T. Heffernan |
| 2022 | EDM | Causal Inference in Educational Data Mining. | Adam Sales, Neil T. Heffernan |
| 2022 | EDM | Using the Open Science Framework to promote Open Science in Education Research. | Stacy T. Shaw, Adam Sales |
| 2022 | ICCE | Considerate, Unfair, or Just Fatigued? Examining Factors that Impact Teacher. | Ashish Gurung, Anthony Botelho, Russell Thompson, Adam Sales, Sami Baral, Neil T. Heffernan |
| 2021 | EDM | Estimating the Intelligent Tutor Effects on Specific Posttest Problems. | Adam Sales, Ethan Prihar, Neil T. Heffernan, John Pane |
| 2020 | EDM | The effect of teachers reassigning students to new Cognitive Tutor sections. | Adam Sales, John Pane |
| 2018 | EDM | Using Big Data to Sharpen Design-Based Inference in A/B Tests. | Adam Sales, Anthony Botelho, Thanaporn Patikorn, Neil T. Heffernan |
| 2017 | EDM | Tutorial: Principal Stratification for EDM Experiments. | Adam Sales |
| 2016 | EDM | Student Usage Predicts Treatment Effect Heterogeneity in the Cognitive Tutor Algebra I Program. | Adam Sales, Asa Wilks, John Pane |
| 2016 | EDM | Discovering 'Tough Love' Interventions Despite Dropout. | Joseph Jay Williams, Anthony Botelho, Adam Sales, Neil T. Heffernan, Charles Lang |
| 2015 | EDM | Exploring Causal Mechanisms in a Randomized Effectiveness Trial of the Cognitive Tutor Algebra I Program. | Adam Sales, John Pane |