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Data science for a new generation of tutors: building an academic-guidance system based on dropout and grades prediction

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dc.contributor Igual Muñoz, Laura
dc.creator Rovira Cisterna, Sergi
dc.date 2018-01-18T11:48:40Z
dc.date 2018-01-18T11:48:40Z
dc.date 2017-01-26
dc.date.accessioned 2024-12-16T10:26:03Z
dc.date.available 2024-12-16T10:26:03Z
dc.identifier http://hdl.handle.net/2445/119113
dc.identifier.uri http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/20436
dc.description Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2017, Director: Laura Igual Muñoz
dc.description 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.
dc.format 57 p.
dc.format application/pdf
dc.language eng
dc.rights memòria: cc-by-nc-sa (c) Sergi Rovira Cisterna, 2017
dc.rights codi: GPL (c) Sergi Rovira Cisterna, 2017
dc.rights http://creativecommons.org/licenses/by-sa/3.0/es
dc.rights http://www.gnu.org/licenses/gpl-3.0.ca.html
dc.rights info:eu-repo/semantics/openAccess
dc.source Treballs Finals de Grau (TFG) - Enginyeria Informàtica
dc.subject Dades massives
dc.subject Aprenentatge automàtic
dc.subject Programari
dc.subject Treballs de fi de grau
dc.subject Sistemes d'ajuda a la decisió
dc.subject Tutoria (Ensenyament)
dc.subject Big data
dc.subject Machine learning
dc.subject Computer software
dc.subject Bachelor's theses
dc.subject Decision support systems
dc.subject Tutoring (Teaching)
dc.title Data science for a new generation of tutors: building an academic-guidance system based on dropout and grades prediction
dc.type info:eu-repo/semantics/bachelorThesis


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