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. © 2010 Springer-Verlag.
CITATION STYLE
Gutierrez-Santos, S., Mavrikis, M., & Magoulas, G. (2010). Sequence detection for adaptive feedback generation in an exploratory environment for mathematical generalisation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6304 LNAI, pp. 181–190). https://doi.org/10.1007/978-3-642-15431-7_19
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