Session
Schedule MozFest 2021
AI Wellness

Let's demolish my thesis: Is using Machine Learning to predict student failure a good idea?

Zoom Room 2A
Fernanda Carles
None
Life at the Faculty of Engineering of the National University of Asunción is tough. With around 12.000 class inscriptions every semester, only around 6.000 end up with a passing grade. This, combined with the institutional weakness that characterizes Paraguayan state institutions and regular heat waves (and regular power cuts), creates a very tense environment for students, teachers and authorities alike. As I was choosing a research topic to finish off my time in university as an engineering student at this very university, I was offered the opportunity to work on a prediction, binary classification and ranking system using Data Science and Machine Learning. What exactly am I predicting? Student failure. In this session, we will explore how this system is designed and discuss who it really benefits: the students, the faculty, or the system itself.

Additional information

Type Discussion - Capped
Language English

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