Toward Learning at Scale in Developing Countries: Lessons from the Global Learning XPRIZE Field Study. - Andrew A. McReynolds; Sheba P. Naderzad; Mononito Goswami; Jack Mostow (L@S, 2020)

In Search of Negative Moments: Multi-Modal Analysis of Teacher Negativity in Classroom Observation Videos. - Zilin Dai; Andrew A. McReynolds; Jacob Whitehill (EDM, 2023)

Identification, Exploration, and Remediation: Can Teachers Predict Common Wrong Answers? - Ashish Gurung; Sami Baral; Kirk P. Vanacore; Andrew A. McReynolds; Hilary Kreisberg; Anthony F. Botelho; Stacy T. Shaw; Neil T. Heffernan (LAK, 2023)

Impact of Non-Cognitive Interventions on Student Learning Behaviors and Outcomes: An analysis of seven large-scale experimental inventions. - Kirk Vanacore; Ashish Gurung; Andrew A. McReynolds; Allison S. Liu; Stacy T. Shaw; Neil T. Heffernan (LAK, 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)

Tracking Classroom Movement Patterns with Person Re-ID. - Xinlu He; Jiani Wang; Viet Anh Trinh; Andrew A. McReynolds; Jacob Whitehill (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)