Explorative Data Mining of Constructivist Learning Experiences and Activities with Multiple Dimensions
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).
[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.
[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.
@article{"International Journal of Business, Human and Social Sciences:53186", author = "Patrick Wessa and Bart Baesens", title = "Explorative Data Mining of Constructivist Learning Experiences and Activities with Multiple Dimensions", 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", volume = "3", number = "1", pages = "24-6", }
