Using cluster analysis for data mining in educational technology research

Author:

Antonenko Pavlo D.,Toy Serkan,Niederhauser Dale S.

Publisher

Springer Science and Business Media LLC

Subject

Education

Reference34 articles.

1. Aldenderfer, M. S., & Blashfield, R. K. (1984). Cluster analysis. Beverly Hills: Sage Press.

2. Barab, S. A., Bowdish, B. E., & Lawless, K. A. (1997). Hypermedia navigation: profiles of hypermedia users. Educational Technology Research and Development, 45(3), 23–42.

3. Belland, B. R., French, B., & Ertmer, P. A. (2009). Validity and problem-based learning research: a review of instruments used to assess intended learning outcomes. Interdisciplinary Journal of Problem-based Learning, 3(1), 59–89.

4. Belland, B. R., Glazewski, K. D., & Richardson, J. C. (2010). Problem-based learning and argumentation: testing a scaffolding framework to support middle school students’ creation of evidence-based arguments. Instructional Science,. doi: 10.1007/s11251-010-9148-z .

5. Clark, R. E. (2010). Cognitive and neuroscience research on learning and instruction: recent insights about the impact of non-conscious knowledge on problem solving, higher order thinking skills and interactive cyber-learning environments. Presented at the International Conference on Education Research (ICER), Seoul.

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