Anzeige
Erschienen in:
2010 | OriginalPaper | Buchkapitel
Sequence Detection for Adaptive Feedback Generation in an Exploratory Environment for Mathematical Generalisation
verfasst von : Sergio Gutierrez-Santos, Manolis Mavrikis, George Magoulas
Erschienen in: Artificial Intelligence: Methodology, Systems, and Applications
Verlag: Springer Berlin Heidelberg
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
Detecting and automating repetitive patterns in users’ actions has several applications. One of them, often overlooked, is supporting learning. This paper presents an approach for detecting repetitive actions in students who are interacting with an exploratory environment for mathematical generalisation. The approach is based on the use of two sliding windows to detect possible regularities, which are filtered at the last stage using task knowledge. The result of this process is used to generate adaptive feedback to students based on their own actions.