Authoring and Diagnosis of Learning Activities with the KADD ET Environment
Begoña Ferrero (University of the Basque Country, Spain)
Maite Martín (University of the Basque Country, Spain)
Ainhoa Alvarez (University of the Basque Country, Spain)
Maite Urretavizcaya (University of the Basque Country, Spain)
Isabel Fernández-Castro (University of the Basque Country, Spain)
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: authoring tools, cognitive diagnosis, error libraries, learning environments, model tracing
Categories: K.3, K.3.1
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