RT Conference Proceedings
T1 Improving database learning with an automatic judge
A1 Martín Martín, Enrique
A1 Montenegro Montes, Manuel
A1 Riesco Rodríguez, Adrián
A1 Rubio Cuéllar, Rubén Rafael
AB 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.
SN 2325-9000
YR 2022
FD 2022
LK https://hdl.handle.net/20.500.14352/93187
UL https://hdl.handle.net/20.500.14352/93187
LA eng
NO Martin-Martin, Enrique, et al. Improving Database Learning with an Automatic Judge. 2022, pp. 499-502. https://doi.org/10.18293/SEKE2022-025.
DS Docta Complutense
RD 18 abr 2025