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Explorative Data Mining of Constructivist Learning Experiences and Activities with Multiple Dimensions

Authors: Patrick Wessa, Bart Baesens

Abstract:

This paper discusses the use of explorative data mining tools that allow the educator to explore new relationships between reported learning experiences and actual activities, even if there are multiple dimensions with a large number of measured items. The underlying technology is based on the so-called Compendium Platform for Reproducible Computing (http://www.freestatistics.org) which was built on top the computational R Framework (http://www.wessa.net).

Keywords: Reproducible computing, data mining, explorative data analysis, compendium technology, computer assisted education

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1331485

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References:


[1] J. de Leeuw, "Reproducible research: the bottom line," in Department of Statistics Papers, 2001031101, Department of Statistics, UCLA., 2001.
[2] R. D. Peng, F. Dominici, and S. L. Zeger, "Reproducible epidemiologic research," American Journal of Epidemiology, 2006.
[3] M. Schwab, N. Karrenbach, and J. Claerbout, "Making scientific computations reproducible," Computing in Science & Engineering, vol. 2, no. 6, pp. 61-67, 2000.
[4] P. J. Green, "Diversities of gifts, but the same spirit," The Statistician, pp. 423-438, 2003.
[5] R. Gentleman, "Applying reproducible research in scientific discovery," BioSilico, 2005.
[6] R. Koenker and A. Zeileis, "Reproducible econometric research (a critical review of the state of the art)," in Research Report Series, no. 60, Department of Statistics and Mathematics Wirtschaftsuniversit¨at Wien, 2007.
[7] D. L. Donoho and X. Huo, "Beamlab and reproducible research," International Journal of Wavelets, Multiresolution and Information Processing, 2004.
[8] F. Leisch, "Sweave and beyond: Computations on text documents," in Proceedings of the 3rd International Workshop on Distributed Statistical Computing, (Vienna, Austria), 2003.
[9] P. Wessa, "Learning statistics based on the compendium and reproducible computing," in Proceedings of the World Congress on Engineering and Computer Science (International Conference on Education and Information Technology), (Berkeley, San Francisco, USA), UC Berkeley, San Francisco, USA, 2008.
[10] P. Wessa and E. van Stee, Statistical Computations Archive (online software at http://www.freestatistics.org). K.U.Leuven Association, Belgium, 2008.
[11] P. Wessa, "How reproducible research leads to non-rote learning within a socially constructivist e-learning environment," in Proceedings of the 7th European Conference on e-Learning, (Cyprus), 2008.
[12] P. Wessa, Free Statistics Software (online software at http://www.wessa.net). Office for Research Development and Education, 1.1.23-r2 ed., 2008.
[13] P. Wessa, "A framework for statistical software development, maintenance, and publishing within an open-access business model," Computational Statistics, 2008.
[14] R Development Core Team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2008. ISBN 3-900051-07-0.
[15] P. Wessa, "Measurement and control of statistics learning processes based on constructivist feedback and reproducible computing," in Proceedings of the 3rd International Conference on Virtual Learning, (Constanta, Romania), 2008.
[16] E. Von Glasersfeld, "Learning as a constructive activity," in Problems of Representation in the Teaching and Learning of Mathematics, pp. 3-17, Hillsdale, NJ: Lawrence Erlbaum Associates, 1987.
[17] E. Smith, "Social constructivism, individual constructivism and the role of computers in mathematics education," Journal of mathematical behavior, vol. 17, no. 4, 1999.
[18] P. Eggen and D. Kauchak, Educational Psychology: Windows on Classrooms. Upper Saddle River, NJ: Prentice Hall, 5th ed. ed., 2001.
[19] L. Moreno, C. Gonzalez, I. Castilla, E. Gonzalez, and J. Sigut, "Applying a constructivist and collaborative methodological approach in engineering education," Computers & Education, vol. 49, pp. 891-915, 2007.
[20] M. Yaman, C. Nerdel, and H. Bayrhuber, "The effects of instructional support and learner interests when learning using computer simulations," Computers & Education, vol. 51, pp. 1784-1794, 2008.
[21] P. Wessa, "A compendium of reproducible research about descriptive statistics and linear regression," tech. rep., K.U.Leuven Association, Belgium, 2008.
[22] P. Wessa, "A compendium of reproducible research about time series analysis," tech. rep., K.U.Leuven Association, Belgium, 2008.
[23] Moodle, "A free, open source course management system for online learning," in http://www.moodle.org, 2008.
[24] K. M. Galotti, B. M. Clinchy, K. Ainsworth, B. Lavin, and A. F. Mansfield, "A new way of assessing ways of knowing: the attitudes towards thinking and learning survey (attls)," Sex roles, pp. 745-766, 1999.
[25] J. R. Lewis, "Ibm computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use," in Technical Report 54.786, IBM Corporation, 1993.
[26] S. Poelmans, P. Wessa, K. Milis, E. Bloemen, and C. Doom, "Usability and acceptance of e-learning in statistics education, based on the compendium platform," in Proceedings of the International Conference of Education, Research and Innovation, International Association of Technology, Education and Development, 2008.
[27] I. Gonzalez and S. D'ejean, CCA: Canonical Correlation Analysis, 2008. R package version 1.1.
[28] S. Arndt, C. Turvey, and N. Andreasen, "Correlating and predicting psychiatric symptom ratings: Spearman-s r versus kendall-s tau correlation," Journal of Psychiatric Research, vol. 33, pp. 97-104, 1999.
[29] S. Arndt and V. Magnotta, "Generating random series with known values of kendall-s tau," Computer Methods and Programs in Biomedicine, vol. 65, pp. 17-23, 2001.