2026-06-29T07:40:54Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/931872025-03-18T13:24:37Zcom_20.500.14352_14col_20.500.14352_15

Improving database learning with an automatic judge Martín Martín, Enrique Montenegro Montes, Manuel Riesco Rodríguez, Adrián Rubio Cuéllar, Rubén Rafael Database Learning Automatic Judge SQL Bases de datos (Informática) 1203.17 Informática Databases are a key subject in several technical degrees. Because they have a strong practical nature, students require a large number of problems to master them. However, these problems are useful only if accurate and timely feedback is provided. In this paper, we present the learning improvements obtained by using LearnSQL, an automatic judge that has been designed to complement face-to-face lectures. We have measured the impact of this judge during the 2021/22 academic year and report promising results both in student engagement and final grades. Depto. de Sistemas Informáticos y Computación Fac. de Informática TRUE pub 2024-01-15T16:48:22Z 2024-01-15T16:48:22Z 2022 conference paper AM https://hdl.handle.net/20.500.14352/93187 2325-9000 10.18293/SEKE2022-025 2325-9086 eng Martin-Martin, Enrique, et al. Improving Database Learning with an Automatic Judge. 2022, pp. 499-502. https://doi.org/10.18293/SEKE2022-025. Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ open access application/pdf