A study on a student dropout predictor, based on monitoring study activities

Bachelor's Degree Thesis in Computer Science and Technology (L-31) — University of Parma, A.Y. 2022/2023

Abstract

The objective of the project was to create a proof of concept for a predictor, using a supervised learning neural network, with the aim of forecasting the academic performance and dropout risk of students at the University of Parma through the analysis of access frequencies to digital educational services. Within the thesis, neural networks based on Single-Layer Perceptron (SLP) and Multi-Layer Perceptron (MLP) were utilized to evaluate how they could predict the progression of students' academic careers.