JUCS - Journal of Universal Computer Science 11(9): 1530-1542, doi: 10.3217/jucs-011-09-1530
Authoring and Diagnosis of Learning Activities with the KADD ET Environment
expand article infoBegoña Ferrero‡, Maite Martín‡, Ainhoa Alvarez‡, Maite Urretavizcaya§, Isabel Fernández-Castro§
‡ University of the Basque Country, Spain§ University of the Basque Country UPV/EHU, Donostia-San Sebastian, Spain

Corresponding author: Begoña Ferrero ( bego.ferrero@ehu.es )

© Begoña Ferrero, Maite Martín, Ainhoa Alvarez, Maite Urretavizcaya, Isabel Fernández-Castro.
This article is freely available under the J.UCS Open Content License.
Citation: Ferrero B, Martín M, Alvarez A, Urretavizcaya M, Fernández-Castro I (2005) Authoring and Diagnosis of Learning Activities with the KADD ET Environment. JUCS - Journal of Universal Computer Science 11(9): 1530-1542. https://doi.org/10.3217/jucs-011-09-1530
Open Access
Abstract
This paper describes KADD ET, a cognitive diagnostic environment created to assess the conceptual and procedural learning activities of students. It is composed of a diagnostic engine, DETECTive, and a knowledge acquisition tool developed to fulfil its knowledge representation needs, KADI. Both of them share a Model of Learning Tasks (MLT) as a diagnostic basis. One of the main goals of this environment is to provide teachers with easy-to-use tools that facilitate the construction of learning environments with diagnosis capabilities customized to their particular subject domains and adaptation styles.
Keywords
learning environments, cognitive diagnosis, authoring tools, error libraries, model tracing