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http://hdl.handle.net/10609/147542
Title: | Segmentación del estudiantado universitario: el caso de la Udima |
Author: | Bonilla Garzón, Alejandra |
Tutor: | Subirats, Laia |
Others: | Prados Carrasco, Ferran |
Abstract: | This final project ascertains the different typologies of Udima students based on their performance, opinions, socio-demographic and behavioural characteristics in Moodle in order to customize their follow-up. The research population is made up of Udima university students (Bachelor's/Master's) enrolled in a course from the beginning (2008-09) to the final year (2021-22). The profile of 30.875 students who finish/leave their studies is identified using the optimal unsupervised learning technique: k-means group algorithm, Euclidean distance and 4 clusters obtaining: 25.09% of the group as dropout; 59.59% as common graduate; 8.76% as motivated: specialist graduate, with a sense of belonging to the university and high satisfaction and 6.55% as dissatisfied: graduate with below-average satisfaction. This classification is used to predict, by means of monitored learning techniques, the classification of 7.989 students in progress with a reduced dataset (variables related to graduation/dropout are eliminated so as not to condition). Using 10-Fold-Cross-Validation (and according to maximum accuracy), the Random Forest classification algorithm is applied. After training, an accuracy of 86.45% is obtained. The model is applied and the distribution is: dropout, 59.36%; common graduate, 30.85%; motivated, 1.11% and dissatisfied, 8.69%. After evaluating the results in relation to the problem raised and the results of the literature, the model is considered valid. The difference between this model and those used in Udima is the integration of information from satisfaction and job placement. The results obtained are specific to Udima, but the methodology used can be adapted to any advanced e-learning institution. |
Keywords: | segmentation higher education clustering |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jan-2023 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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abonillagaTFM0123presentacion.pdf | Presentación del TFM | 3,88 MB | Adobe PDF | View/Open |
abonillagaTFM0123memoria.pdf | Memoria del TFM | 662,44 kB | Adobe PDF | View/Open |
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