Exploring Causal Mechanisms in a Randomized Effectiveness Trial of the Cognitive Tutor Algebra I Program. - Adam Sales; John Pane (EDM, 2015)

Student Usage Predicts Treatment Effect Heterogeneity in the Cognitive Tutor Algebra I Program. - Adam Sales; Asa Wilks; John Pane (EDM, 2016)

Discovering 'Tough Love' Interventions Despite Dropout. - Joseph Jay Williams; Anthony Botelho; Adam Sales; Neil T. Heffernan; Charles Lang (EDM, 2016)

A systematic analysis of the science of sandboxing. - Michael Maass; Adam Sales; Benjamin Chung; Joshua Sunshine (PeerJ Comput. Sci., 2016)

Tutorial: Principal Stratification for EDM Experiments. - Adam Sales (EDM, 2017)

Using Big Data to Sharpen Design-Based Inference in A/B Tests. - Adam Sales; Anthony Botelho; Thanaporn Patikorn; Neil T. Heffernan (EDM, 2018)

The effect of teachers reassigning students to new Cognitive Tutor sections. - Adam Sales; John Pane (EDM, 2020)

Estimating the Intelligent Tutor Effects on Specific Posttest Problems. - Adam Sales; Ethan Prihar; Neil T. Heffernan; John Pane (EDM, 2021)

Toward Personalizing Students' Education with Crowdsourced Tutoring. - Ethan Prihar; Thanaporn Patikorn; Anthony Botelho; Adam Sales; Neil T. Heffernan (L@S, 2021)

More Powerful A/B Testing Using Auxiliary Data and Deep Learning. - Adam Sales; Ethan Prihar; Johann Gagnon-Bartsch; Ashish Gurung; Neil T. Heffernan (AIED (2), 2022)

Exploring Common Trends in Online Educational Experiments. - Ethan Prihar; Manaal Syed; Korinn Ostrow; Stacy T. Shaw; Adam Sales; Neil T. Heffernan (EDM, 2022)

Causal Inference in Educational Data Mining. - Adam Sales; Neil T. Heffernan (EDM, 2022)

Using the Open Science Framework to promote Open Science in Education Research. - Stacy T. Shaw; Adam Sales (EDM, 2022)

Considerate, Unfair, or Just Fatigued? Examining Factors that Impact Teacher. - Ashish Gurung; Anthony Botelho; Russell Thompson; Adam Sales; Sami Baral; Neil T. Heffernan (ICCE, 2022)

Automatic Interpretable Personalized Learning. - Ethan Prihar; Aaron Haim; Adam Sales; Neil T. Heffernan (L@S, 2022)

Effective Evaluation of Online Learning Interventions with Surrogate Measures. - Ethan Prihar; Kirk Vanacore; Adam Sales; Neil T. Heffernan (EDM, 2023)

How Common are Common Wrong Answers? Crowdsourcing Remediation at Scale. - Ashish Gurung; Sami Baral; Morgan P. Lee; Adam C. Sales; Aaron Haim; Kirk P. Vanacore; Andrew A. McReynolds; Hilary Kreisberg; Cristina Heffernan; Neil T. Heffernan (L@S, 2023)

Investigating the Impact of Skill-Related Videos on Online Learning. - Ethan Prihar; Aaron Haim; Tracy Jia Shen; Adam Sales; Dongwon Lee 001; Xintao Wu; Neil T. Heffernan (L@S, 2023)

Benefit of Gamification for Persistent Learners: Propensity to Replay Problems Moderates Algebra-Game Effectiveness. - Kirk Vanacore; Adam Sales; Allison S. Liu; Erin Ottmar (L@S, 2023)

A Bandit You Can Trust. - Ethan Prihar; Adam Sales; Neil T. Heffernan (UMAP, 2023)

Causal Inference in Educational Data Mining. - Anthony F. Botelho; Avery Harrison Closser; Adam C. Sales; Neil T. Heffernan; Kirk P. Vanacore (EDM, 2024)

Power Calculations for Randomized Controlled Trials with Auxiliary Observational Data. - Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch (EDM, 2024)

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 (EDM, 2024)

Boosting Precision in Educational A/B Tests Using Auxiliary Information and Design-Based Estimators. - Yanping Pei; Adam Sales; Johann Gagnon-Bartsch (EDM, 2024)

LOOL: Towards Personalization with Flexible & Robust Estimation of Heterogeneous Treatment Effects. - Duy M. Pham; Kirk P. Vanacore; Adam C. Sales; Johann Gagnon-Bartsch (EDM, 2024)

Tools for Planning and Analyzing Randomized Controlled Trials and A/B Tests. - Adam C. Sales; Johann A. Gagnon-Bartsch; Duy M. Pham (EDM, 2024)

Problem-Solving Behavior and EdTech Effectiveness: A Model for Exploratory Causal Analysis. - Adam C. Sales; Kirk P. Vanacore; Hyeon-Ah Kang; Tiffany A. Whittaker (EDM, 2024)

Multiple Choice vs. Fill-In Problems: The Trade-off Between Scalability and Learning. - Ashish Gurung; Kirk Vanacore; Andrew A. McReynolds; Korinn S. Ostrow; Eamon Worden; Adam C. Sales; Neil T. Heffernan (LAK, 2024)

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 (LAK, 2024)

Fully Latent Principal Stratification with Misspecified Measurement Models in Intelligent Tutoring Systems. - Yanping Pei; Adam Sales; Hyeon-Ah Kang; Tiffany A. Whittaker (EDM, 2025)

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 (EDM, 2025)

CausalEDM: Linking Innovations in Instructional Design and the Complex Behaviors that Underlie Learning Processes and Outcomes. - Kirk Vanacore; Anthony F. Botelho; Avery Closer; Adam Sales; Neil T. Heffernan (EDM, 2025)