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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/119113
Data science for a new generation of tutors: building an academic-guidance system based on dropout and grades prediction
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Abstract
This work is part of an innovative educational project which aim is to create a tool to help tutors offer more personalised and proactive guidance to the students. An analysis of the performance of different Machine Learning techniques for dropout intention prediction is presented. The approach of using Recommender Systems for final grade prediction and course ranking creation has been also assessed. Visualizations which help in the interpretation of the obtained results have been developed and a design for the tutoring tool
has been outlined. The research has been performed using data from the degree studies in Law, Computer Science and Mathematics of Universitat de Barcelona.
Description
Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2017, Director: Laura Igual Muñoz
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ROVIRA CISTERNA, Sergi. Data science for a new generation of tutors: building an academic-guidance system based on dropout and grades prediction. [consulted: 14 of August of 2026]. Available at: https://hdl.handle.net/2445/119113