Mitchell L. Stevens

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 9

Top Topics

Gender Differences

Student Success

Artificially Intelligent

Latent Variable Models

Top Venues

Publications

David Lang, Alex Wang, Nathan Dalal, Andreas Paepcke, Mitchell L. Stevens
Forecasting Undergraduate Majors Using Academic Transcript Data. L@S (2021)
Glenn M. Davis, Abdallah A. AbuHashem, David Lang, Mitchell L. Stevens
Identifying Preparatory Courses that Predict Student Success in Quantitative Subjects. L@S (2020)
David Lang, Youjie Chen, Andreas Paepcke, Mitchell L. Stevens
Evaluations as Research Tools: Gender Differences in Academic Self-Perception and Care Work in Undergraduate Course Reviews. CSEDM@EDM (2020)
A. J. Alvero, Noah Arthurs, Anthony Lising Antonio, Benjamin W. Domingue, Ben Gebre-Medhin, Sonia Giebel, Mitchell L. Stevens
AI and Holistic Review: Informing Human Reading in College Admissions. AIES (2020)
Geoffrey Angus, Richard Diehl Martinez, Mitchell L. Stevens, Andreas Paepcke
Via: Illuminating Academic Pathways at Scale. L@S (2019)
A. J. Alvero, Noah Arthurs, Anthony Lising Antonio, Benjamin W. Domingue, Ben Gebre-Medhin, Sonia Giebel, Mitchell L. Stevens
AI and Holistic Review: Informing Human Reading in College Admissions. CoRR (2019)
Nate Gruver, Ali Malik, Brahm Capoor, Chris Piech, Mitchell L. Stevens, Andreas Paepcke
Using Latent Variable Models to Observe Academic Pathways. EDM (2019)
Nate Gruver, Ali Malik, Brahm Capoor, Chris Piech, Mitchell L. Stevens, Andreas Paepcke
Using Latent Variable Models to Observe Academic Pathways. CoRR (2019)
Sorathan Chaturapruek, Thomas S. Dee, Ramesh Johari, René F. Kizilcec, Mitchell L. Stevens
How a data-driven course planning tool affects college students' GPA: evidence from two field experiments. L@S (2018)