Martín Martín, EnriqueMontenegro Montes, ManuelRiesco Rodríguez, AdriánRubio Cuéllar, Rubén Rafael2024-01-152024-01-152022-07-012325-900010.18293/SEKE2022-025https://hdl.handle.net/20.500.14352/93187Databases 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.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalconference paper2325-9086https://ksiresearch.org/seke/seke22.htmlhttps://ksiresearch.org/seke/seke22paper/paper025.pdfrestricted accessDatabase LearningAutomatic JudgeSQLBases de datos (Informática)1203.17 Informática