Anzeige
Erschienen in:
2015 | OriginalPaper | Buchkapitel
Measuring Misconceptions Through Item Response Theory
verfasst von : Eduardo Guzmán, Ricardo Conejo
Erschienen in: Artificial Intelligence in Education
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In this paper we propose an assessment model to measure both student knowledge and misconceptions through testing. For this purpose we use a well-founded psychometric theory, i.e. the Item Response Theory (IRT). Our proposal is an extension of our previous work in this field and permits, in the same test, the data-driven evaluation of knowledge and several misconceptions, thereby more efficiently using the evidence provided by the students, while solving a test, to enrich student perturbation models.