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MACHINE LEARNING TO PREDICT STUDENT ACADEMIC RISK IN ENGINEERING
Author(s) -
Lizeth Stephany Roldán Jiménez
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.26507/ponencia.1579
Subject(s) - cdio , engineering education , context (archaeology) , psychological intervention , higher education , mathematics education , work (physics) , intervention (counseling) , computer science , at risk students , learning development , psychology , engineering , engineering management , political science , mechanical engineering , paleontology , psychiatry , law , biology

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