Sequence Clustering Techniques in Educational Data Mining

Sequence Clustering Techniques in Educational Data Mining

Qi Guo, Ying Cui, Jacqueline P. Leighton, Man-Wai Chu
ISBN13: 9781799834762|ISBN10: 179983476X|EISBN13: 9781799834779
DOI: 10.4018/978-1-7998-3476-2.ch005
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MLA

Guo, Qi, et al. "Sequence Clustering Techniques in Educational Data Mining." Handbook of Research on Modern Educational Technologies, Applications, and Management, edited by Mehdi Khosrow-Pour D.B.A., IGI Global, 2021, pp. 68-84. https://doi.org/10.4018/978-1-7998-3476-2.ch005

APA

Guo, Q., Cui, Y., Leighton, J. P., & Chu, M. (2021). Sequence Clustering Techniques in Educational Data Mining. In M. Khosrow-Pour D.B.A. (Ed.), Handbook of Research on Modern Educational Technologies, Applications, and Management (pp. 68-84). IGI Global. https://doi.org/10.4018/978-1-7998-3476-2.ch005

Chicago

Guo, Qi, et al. "Sequence Clustering Techniques in Educational Data Mining." In Handbook of Research on Modern Educational Technologies, Applications, and Management, edited by Mehdi Khosrow-Pour D.B.A., 68-84. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-3476-2.ch005

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Abstract

Digital technology has profound impacts on modern education. Digital technology not only greatly improves access to quality education, but it also can automatically save all the interactions between students and computers in log files. Clustering of log files can help researchers better understand students and improve the learning program. One challenge associated with log file clustering is that log files are sequential in nature, but traditional cluster analysis techniques are designed for cross-sectional data. To overcome this problem, several sequence clustering techniques are proposed recently. There are three major categories of sequence clustering techniques: Markov chain clustering, sequence distance clustering, and sequence feature clustering. The purpose of this chapter is to introduce these sequence clustering techniques and discuss their potential advantages and disadvantages.

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