Delahoz-Domínguez, E.J.; Hijón-Neira, R. Recommender System for University Degree Selection: A Socioeconomic and Standardised Test Data Approach. Appl. Sci.2024, 14, 8311.
Delahoz-Domínguez, E.J.; Hijón-Neira, R. Recommender System for University Degree Selection: A Socioeconomic and Standardised Test Data Approach. Appl. Sci. 2024, 14, 8311.
Delahoz-Domínguez, E.J.; Hijón-Neira, R. Recommender System for University Degree Selection: A Socioeconomic and Standardised Test Data Approach. Appl. Sci.2024, 14, 8311.
Delahoz-Domínguez, E.J.; Hijón-Neira, R. Recommender System for University Degree Selection: A Socioeconomic and Standardised Test Data Approach. Appl. Sci. 2024, 14, 8311.
Abstract
Recommender systems in education are becoming more widespread, typically focusing on recommending courses or study materials. This study proposes a machine learning approach to recommend a university degree based on high school and university standardised test results, incorporating students' socioeconomic information as input variables. The objective is to develop a tool for students’ decision-making, supporting the sustainable development goal of Quality Education by providing a data schema to maximise the likelihood of a successful match between the student's profile and the academic program. With its focus on equity in education, this study provides a data-driven approach to assist students in selecting suitable university degrees, aiming to improve educational outcomes and inspire a more equitable education system.
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
