Testing Machine Learning Models to Identify Computer Science Students at High-risk of Probation

Hamza Errahmouni Barkam, Max Wang, Barbara Martinez Neda, Sergio Gago Masagué. Testing Machine Learning Models to Identify Computer Science Students at High-risk of Probation. In Larry Merkle, Maureen Doyle, Judithe Sheard, Leen-Kiat Soh, Brian Dorn, editors, SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, Providence, RI, USA, March 3-5, 2022, Volume 2. pages 1161, ACM, 2022. [doi]

Abstract

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