Mitchell L. Stevens

According to our database, Mitchell L. Stevens authored at least 7 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Forecasting Undergraduate Majors Using Academic Transcript Data.

David Lang, Alex Wang, Nathan Dalal, Andreas Paepcke, Mitchell L. Stevens

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

2020

Identifying Preparatory Courses that Predict Student Success in Quantitative Subjects.

Glenn M. Davis, Abdallah A. AbuHashem, David Lang, Mitchell L. Stevens

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 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

Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), 2020

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

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

Via: Illuminating Academic Pathways at Scale.

Geoffrey Angus, Richard Diehl Martinez, Mitchell L. Stevens, Andreas Paepcke

Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

Using Latent Variable Models to Observe Academic Pathways.

Nate Gruver, Ali Malik, Brahm Capoor, Chris Piech, Mitchell L. Stevens, Andreas Paepcke

Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018

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

Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018