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Learning Styles As Indicators Of Higher Education Quality


  • Grozdanka Gojkov

    () (1Teacher Training Faculty – Belgrade and Preschool Teacher Training College “M. Palov” Vrsac, Republic of Serbia)


From the viewpoint of styles as indicators of learning quality in higher education teaching the text considers the issue of putting into a context and understanding of the notion of higher education quality. Relations of meta-theoretical conceptions of pedagogy are considered, interwoven in theoretical grounds of didactic concepts; the relationship between didactics and postmodernism has been dealt with, as well as unexplained relation between postmodernism and constructivism; postmodernism as a new philosophy and constructivism as a general theory of cognition are considered in regard to emancipatory didactics which is theoretical grounds of participatory epistemology and learning styles as indicators of higher education teaching. Th e text gives a fi nding of a previously conducted explorative research on the correspondence between learning styles ad discourse methods in higher education teaching, involving 2nd and 3rd year students (N-114) enrolled at Teacher Training Faculty of Belgrade University – teaching department in Vrsac. The finding in question refers to the statement that learning styles correspond to discourse method and that the students with highly expressed dimensions of a meaningful style (search for the essence and understanding it; raising questions after reading…) understand discourse as a teaching method better due to the possibility to exchange opinions, express their own ideas, better understanding of contents, connecting knowledge…) which could be considered a possible guideline towards the culture of learning quality within higher education teaching.

Suggested Citation

  • Grozdanka Gojkov, 2013. "Learning Styles As Indicators Of Higher Education Quality," Interdisciplinary Management Research, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 9, pages 587-603.
  • Handle: RePEc:osi:journl:v:9:y:2013:p:587-603

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    References listed on IDEAS

    1. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    2. Apergis, Nicholas & Rezitis, Anthony N., 2011. "Food Price Volatility and Macroeconomic Factors: Evidence from GARCH and GARCH-X Estimates," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(01), February.
    3. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    4. Jordaan, Henry & Grove, Bennie & Jooste, Andre & Alemu, A.G., 2007. "Measuring the Price Volatility of Certain Field Crops in South Africa using the ARCH/GARCH Approach," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 46(3), September.
    5. Ionel, Iuliana, 2005. "How to Stabilize the Cereals Market in a Transition Economy," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24762, European Association of Agricultural Economists.
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    More about this item


    learning styles; higher education teaching quality;

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions


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