How a data-driven course planning tool affects college students' GPA: evidence from two field experiments. - Sorathan Chaturapruek; Thomas S. Dee; Ramesh Johari; René F. Kizilcec; Mitchell L. Stevens (L@S, 2018)

Using Latent Variable Models to Observe Academic Pathways. - Nate Gruver; Ali Malik; Brahm Capoor; Chris Piech; Mitchell L. Stevens; Andreas Paepcke (EDM, 2019)

Via: Illuminating Academic Pathways at Scale. - Geoffrey Angus; Richard Diehl Martinez; Mitchell L. Stevens; Andreas Paepcke (L@S, 2019)

AI and Holistic Review: Informing Human Reading in College Admissions. - A. J. Alvero; Noah Arthurs; Anthony Lising Antonio; Benjamin W. Domingue; Ben Gebre-Medhin; Sonia Giebel; Mitchell L. Stevens (AIES, 2020)

Evaluations as Research Tools: Gender Differences in Academic Self-Perception and Care Work in Undergraduate Course Reviews. - David Lang; Youjie Chen; Andreas Paepcke; Mitchell L. Stevens (CSEDM@EDM, 2020)

Identifying Preparatory Courses that Predict Student Success in Quantitative Subjects. - Glenn M. Davis; Abdallah A. AbuHashem; David Lang; Mitchell L. Stevens (L@S, 2020)

Forecasting Undergraduate Majors Using Academic Transcript Data. - David Lang; Alex Wang; Nathan Dalal; Andreas Paepcke; Mitchell L. Stevens (L@S, 2021)