Corpus ID: 218763114

DETECT: A Hierarchical Clustering Algorithm for Behavioural Trends in Temporal Educational Data

@article{McBroom2020DETECTAH,
  title={DETECT: A Hierarchical Clustering Algorithm for Behavioural Trends in Temporal Educational Data},
  author={Jessica McBroom and Kalina Yacef and Irena Koprinska},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.10640}
}
  • Jessica McBroom, Kalina Yacef, Irena Koprinska
  • Published 2020
  • Mathematics, Computer Science
  • ArXiv
  • Techniques for clustering student behaviour offer many opportunities to improve educational outcomes by providing insight into student learning. However, one important aspect of student behaviour, namely its evolution over time, can often be challenging to identify using existing methods. This is because the objective functions used by these methods do not explicitly aim to find cluster trends in time, so these trends may not be clearly represented in the results. This paper presents `DETECT… CONTINUE READING

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