Abstract
Moodle is a virtual learning environment that keeps track of the activities of students in the learning environment. The amount of data in Moodle is vast and it contains, for example, the whole learning material, information on completed assignments, and records of when a student accesses the learning material. By clustering the students based on the material we can learn to understand the different learning strategies of students in the virtual Moodle environment.
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References
Chen, L., Xu, X.-H., Chen, Y.-X.: An adaptive ant colony clustering algorithm. In: Proc. 3rd Int. Conf. Machine Learning and Cybernetics (2004)
Dorigo, M., Stützle, T.: Ant Colony Optimization. The MIT Press (2004)
Grünwald, P.D.: The Minimum Description Length Principle. The MIT Press (2007)
Runkler, T.A.: Ant colony optimization of clustering models. Int. J. Intelligent Systems 20 (2005)
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Suomalainen, P. (2012). Clustering Moodle Data via Ant Colony Optimization. In: Dorigo, M., et al. Swarm Intelligence. ANTS 2012. Lecture Notes in Computer Science, vol 7461. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32650-9_36
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DOI: https://doi.org/10.1007/978-3-642-32650-9_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32649-3
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