Sequence detection for adaptive feedback generation in an exploratory environment for mathematical generalisation

Authors:
Sergio Gutierrez-Santos;Manolis Mavrikis;George Magoulas
Affiliations:
London Knowledge Lab;London Knowledge Lab;London Knowledge Lab
Venue:
AIMSA'10 Proceedings of the 14th international conference on Artificial intelligence: methodology, systems, and applications
Year:
2010

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Abstract

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.