Farias, GonzaloDavid Muñoz de la PeñaFabio Gómez-EsternTorre Cubillo, Luis de laGómez Sánchez, CarlosDormido Canto, Sebastián2025-07-022025-07-022015-04-07Farias, G., Muñoz de la Peña, D., Gómez-Estern, F., De la Torre, L., Sánchez, C., & Dormido, S. (2015). Adding automatic evaluation to interactive virtual labs. Interactive Learning Environments, 24(7), 1456–1476. https://doi.org/10.1080/10494820.2015.10225591049-4820https://doi.org/10.1080/10494820.2015.1022559https://hdl.handle.net/20.500.14468/26965Este es el manuscrito aceptado del artículo. La versión registrada fue publicada por primera vez en Interactive Learning Environments, 24(7), 1456–1476, está disponible en línea en el sitio web del editor: https://doi.org/10.1080/10494820.2015.1022559. This is the accepted manuscript of the article. The registered version was first published in Interactive Learning Environments, 24(7), 1456–1476, and is available online from the publisher's website: https://doi.org/10.1080/10494820.2015.1022559.Automatic evaluation is a challenging field that has been addressed by the academic community in order to reduce the assessment workload. In this work we present a new element for the authoring tool Easy Java Simulations (EJS). This element, which is named automatic evaluation element (AEE), provides automatic evaluation to virtual and remote laboratories built with EJS by using the server application Goodle grading management system (GMS). The integration of both tools entitles a professor to create interactive virtual and remote laboratories and automatically evaluate the work of their students. As a test bed two case studies are presented; a non-linear controller design virtual laboratory used in an advanced control master course and a servomechanism virtual laboratory used in an undergraduate basic control course.eninfo:eu-repo/semantics/openAccess12 Matemáticas::1203 Ciencia de los ordenadores ::1203.17 InformáticaAdding automatic evaluation to interactive virtual labsartículoengineering educationvirtual and remote labsautomatic evaluationEJS