Longitudinal Study of the Dynamics of Students’ Successful Solutions of the Analytical, Creative and Practical Tasks

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Abstract

Profiles of successful training in the framework of a separate basic discipline were investigated on the student sample (n = 150). The longitudinal and summary indicators of successful training were obtained using experts ratings and IRT-approach on the knowledge testing results that was carried out on the basis of student performance of closed and open tasks that require displaying academic intelligence, practical intelligence and creativity. Hierarchical linear models of growth curves of learning success demonstrated the heterogeneity of the dynamics of change in successful performance of various types of tasks. Four basic profiles of student successful training were obtained using the Q-factor analysis; each factor is characterized by a combination of strong and weak sides of the students. The similar lines of development – their consistent growth – of analytical and practical training success were shown in a small longitudinal study. Successful performance in open creative tasks has a fundamentally different dynamics: a creative usage of accumulated knowledge while working with unspecified material at first sharply decreases and then increases again towards the end of the training.

General Information

Keywords: longitudinal study, success of training, educational psychology, hierarchical linear modeling, IRT-approach

Journal rubric: General Psychology

Article type: scientific article

For citation: Kornilova T.V., Kornilov S.A., Chumakova M.A. Longitudinal Study of the Dynamics of Students’ Successful Solutions of the Analytical, Creative and Practical Tasks. Psikhologicheskaya nauka i obrazovanie = Psychological Science and Education, 2010. Vol. 15, no. 1, pp. 55–68. (In Russ., аbstr. in Engl.)

References

  1. Anan’ev B. G. Pedagogicheskie prilozheniya sovremennoi psihologii // Hrestomatiya po vozrastnoi i pedagogicheskoi psihologii. Raboty sovetskih psihologov perioda 1946–1980 gg. / Pod red. I. I. Il’yasova, V. Ya. Lyaudis. M., 1981.
  2. Zvonnikov V. I., Chelyshkova M. B. Sovremennye sredstva ocenivaniya rezul’tatov obucheniya. M., 2007.
  3. Druzhinin V. N. Psihologiya obshih sposobnostei. SPb., 2007.
  4. Kornilova T. V. Eksperimental’naya psihologiya: Teoriya i metody: Uchebnik dlya vuzov. M., 2002.
  5. Innovacionnye obrazovatel’nye programmy po psihologii / Pod red. Yu. P. Zinchenko, I. A. Volodarskoi. M., 2007.
  6. Smirnov S. D. Pedagogika i psihologiya vysshego obrazovaniya: Ot deyatel’nosti k lichnosti. M., 2005.
  7. Sternberg R., Forsait J. B., Hedland J., Grigorenko E. Prakticheskii intellekt. SPb., 2002.
  8. Yagolkovskii S. R. Psihologiya kreativnosti i innovacii. M., 2007.
  9. Bond T., Fox C. Applying the rasch model. Mahwah, N. J., 2001.
  10. Gutman L. M., Sameroff A.J., Cole R. Academic Growth Curve Trajectories from 1st Grade to 12th Grade: Effects of Multiple Social Risk Factors and Preschool Child Factors // Developmental Psychology, 2003. V. 39. № 4.
  11. Irvine S. H., Kyllonen P. C. (Eds.). Item generation for test development. Mahwah, N. J., 2002.
  12. Linacre J. M. Facets Rasch measurement computer program (version 3.65.0). Chicago, 2009.
  13. Linacre J. M. Many-facet rasch measurement. Chicago, 1994.
  14. McArdle J. J. Latent variable modeling of differences and changes with longitudinal data // Annual Review of Psychology, 2009. V. 60.
  15. Muthén B. O., Khoo S. T. Longitudinal studies of achievement growth using latent variable modeling // Learning and Individual Differences, 1998. V. 10. № 2.
  16. Raudenbush S. W. Comparing personal trajectories and drawing causal inferences from longitudinal data // Annual Review of Psychology, 2001. V. 52.
  17. Raudenbush S. W., Bryk A. S. Hierarchical Linear Models: Applications and Data Analysis Methods. CA, 2002.
  18. Raudenbush S. W., Bryk A. S., Congdon R.T. HLM 6: Hierarchical linear and nonlinear modeling. Chicago, 2008.
  19. Smith E. V. Evidence for the reliability of measures and validity of measure interpretation: A rasch measurement perspective // Journal of Applied Measurement, 2001. Vol. 2. № 3.
  20. Stemler S. E., Grigorenko E. L., Jarvin L., Sternberg R. J. Using the theory of successful intelligence as a basis for augmenting AP exams in Psychology and Statistics // Contemporary Educational Psychology, 2006. V. 31. № 3.
  21. Sternberg R. J. The Theory of Successful Intelligence. Review of General Psychology, 1999. V. 3. № 4.
  22. Sternberg R. J. The Rainbow Project Collaborators. The Rainbow Project: Enhancing the SAT through assessments of analytical, practical, and creative skills // Intelligence, 2006. V. 34. № 4.
  23. Sternberg R. J. The Theory of Successful Intelligence // Review of General Psychology, 1999. V. 3. № 4.
  24. Sternberg R. J., Birney D., Bridgeman B., Cianciolo A., Camara W., Drebot M., et al. Theory-based university admissions testing for a new millennium // Educational Psychologist, 2004. V. 39. № 3.
  25. Weisberg R.W. Creativity and Knowledge: A Challenge to Theories // Handbook of Creativity / Sternberg, R.J. (Ed.). N. J., 1999.

Information About the Authors

Tatyana V. Kornilova, Doctor of Psychology, Professor, Department of General Psychology, Lomonosov Moscow State University, Moscow, Russia, ORCID: https://orcid.org/0000-0002-5065-3793, e-mail: tvkornilova@mail.ru

Sergey A. Kornilov, PhD in Psychology, Seattle, USA, e-mail: sa.kornilov@gmail.com

Mariya A. Chumakova, PhD in Psychology, Associate professor, Faculty of Social Sciences, School of Psychology, HSE University, Moscow, Russia, ORCID: https://orcid.org/0000-0003-1769-8268, e-mail: mchumakova@hse.ru

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