A Simple, Language-Independent Approach to Identifying Potentially At-Risk Introductory Programming Students
Brett A. Becker, Catherine Mooney, Amruth N. Kumar, Seán Russell · 2021
For decades computing educators have been trying to identify and predict at-risk students, particularly early in the first programming course. These efforts range from the analyzing demographic data that pre-exists undergraduate entrance to using instruments such as concept inventories, to the analysis of data arising during education. Such efforts have had varying degrees of success, have not seen widespread adoption, and have left room for improvement.