Skill set profile clustering: The empty k-means algorithm with automatic specification of starting cluster centers

Educational Data Mining 2010 - 3rd International Conference on Educational Data Mining

Volumn , Issue , 2010, Pages 151-160

  Nugent, Rebecca ^a   Dean, Nema ^b   Ayers, Elizabeth ^c  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF GLASGOW   (United Kingdom)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS OF DATA; CLUSTER CENTERS; CLUSTERING RESULTS; COGNITIVE DIAGNOSIS; HIERARCHICAL AGGLOMERATIVE CLUSTERING; K-MEANS; K-MEANS ALGORITHM; K-MEANS CLUSTERING;

CLUSTERING ALGORITHMS; DATA MINING; SPECIFICATIONS;

STUDENTS;

EID: 82455182722     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Ayers, E, Nugent, R, Dean, N. "Skill Set Profile Clustering Based on Student Capability Vectors Computed from Online Tutoring Data". Educational Data Mining 2008: 1st International Conference on Educational Data Mining, Proceedings (refereed). R.S.J.d. Baker, T. Barnes, and J.E. Beck (Eds), Montreal, Quebec, Canada, June 20-21, 2008. p.210-217.
2. Ayers, E, Nugent, R, Dean, N. (2009) "A Comparison of Student Skill Knowledge Estimates". Educational Data Mining 2009: 2nd International Conference on Educational Data Mining, Proceedings. Barnes, T., Desmarais, M., Romero, C., and Ventura, S. (Eds), Cordoba, Spain, p.101-110.
3. Barnes, T.M. (2003). The Q-matrixMethod of Fault-tolerant Teaching in Knowledge Assessment and Data Mining. Ph.D. Dissertation, Department of Computer Science, NCSU.
4. Chiu, C, Douglas, J. A, Li, X. (2009) Cluster Analysis for Cognitive Diagnosis: Theory and Applications. Psychometrika, 74 (4), p.633-665.
5. Hartigan, J.A. Clustering Algorithms. Wiley. 1975.
6. Henson, J., Templin, R., and Douglas, J. (2007) Using efficient model based sum-scores for conducting skill diagnoses. Journal of Education Measurement, 44, p.361-376.
7. Hubert, L. and Arabie, P. (1985) Comparing partitions. Journal of Classification, 2, p.193-218.
8. Junker, B.W., Sijtsma K. (2001) Cognitive Assessment Models with Few Assumptions and Connections with Nonparametric Item Response Theory. Applied Psych Measurement, 25, p.258-272.
9. Steinley, D. (2008). Stability analysis in K-means clustering. British Journal of Mathematical and Statistical Psychology, 61, p.255-273.
10. Tatsuoka, K.K. (1983). Rule Space: An Approach for Dealing with Misconceptions Based on Item Response Theory. Journal of Educational Measurement. 20 (4), p.345-354.