Contribution of heuristic inference to metacognitive monitoring of the solution of tests of knowledge by high school student


https://doi.org/10.15372/PEMW20190322

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Abstract

Results of a theoretical and empirical research of factors of metacognitive monitoring of the solution of tests of knowledge by pupils of high school are presented in article. The concept of metacognitive monitoring and its role of structure of cognitive activity of the person is opened. The main method of a research of metacognitive monitoring is the paradigm of calibration (realism) of confidence. The paradigm of calibration is implemented in correlation of metacognitive judgments and objective success of the solution of a task. Empirical researches in which the interrelation between the accuracy of metacognitive judgments and the academic success is studied are analyzed. Pupils who estimate own knowledge and the academic abilities more precisely show higher educational achievements. Pupils who are excessively sure of the competence study significantly worse than the peers. The problem of psychological mechanisms of metacognitive monitoring of the solution of educational tasks is considered. In cognitive psychology there are two hypotheses explaining essence of metacognitive monitoring. The hypothesis of direct access to cognitive activity means that the pupil has direct access to the knowledge. Other approach is that the pupil makes monitoring on the basis of indirect signs of the solution (for example, availability of answers at execution of the test). In this case creation of metacognitive judgments is result of heuristic processing. It is empirically shown that judgments of confidence depend on availability of extraction of test tasks in memory. The hypothesis of direct access to the content of memory did not receive confirmation. These data allow to draw a conclusion on the reasons of metacognitive illusions in the doctrine and possible risks of the academic poor progress.


About the Author

A. E. Fomin
Tsiolkovskу Kaluga State University
Russian Federation
Andrey E. Fomin – Candidate of psychological sciences, As an assistant Professor, Assistant professor of the Chair of Developmental and Educational Psychology, Russian Federation, 248023, Kaluga, St. Razin str., 22/48; tel.: (4842) 57‑80‑38


References

1. Hacker D. J., Bol L., Keener M. C. Metacognition in education: A focus on calibration // Handbook of metamemory and memory / ed. J. Dunlosky, R. A. Bjork. N. Y.: Psychology Press, 2008. P. 429–455.

2. Oskamp S. Overconfidence in case-study judgments // Journal of consulting psychology. 1965. Vol. 29, № 3. P. 261–265.

3. Kruger J., Dunning D. Unskilled and unaware of it: how difficulties in recognizing one's own incompetence lead to inflated self-assessments // Journal of personality and social psychology. 1999. Vol. 77, № 6. P. 1121–1134.

4. Dunning D., Jhonson K., Ehrlinger J., Kruger J. Why people fail to recognize their own incompetence // Current Directions in Psychological Science. 2003. Vol. 12. № 3. P. 83–87.

5. Tobias S., Everson H. T. The importance of knowing what you know: a knowledge monitoring framework for studying metacognition in education // Handbook of metacognition in education / Eds. D. J. Hacker, J. Dunlosky, A. C. Graesser. N. Y.: Routledge, 2009. P. 107–127.

6. Barnett J. E., Hixon J. E. Effects of grade level and subject on student test score predictions // The Journal of Educational Research. 1997. Vol. 90, № 3. P. 170–174.

7. Hacker D. J., Bol L., Horgan D. D., Rakow E. A. Test prediction and performance in a classroom context //Journal of Educational Psychology. 2000. Vol. 92, № 1. P. 160–170.

8. Bol L., Hacker D. J. A comparison of the effects of practice tests and traditional review on performance and calibration // The Journal of experimental education. 2001. Vol. 69, № 2. P. 133–151.

9. Nietfeld J. L., Cao L., Osborne J. W. Metacognitive monitoring accuracy and student performance in the postsecondary classroom // The Journal of Experimental Educational. 2005. Vol. 74, № 1. P. 7–28.

10. Rosenthal R. Meta-analytic procedures for social research. Rev. ed. New-bury Park: Sage Publications, 1991. 155 p.

11. Cohen J. Statistical power analysis for the behavioral sciences. Rev. ed. New York: Academic Press, 1977. 474 p.

12. Grimes P. W. The overconfident principles of economics student: An ex-amination of a metacognitive skill // The Journal of Economic Education. 2002. Vol. 33, № 1. P. 15–30.

13. Tobias S., Everson H. Assessing Metacognitive Knowledge Monitoring. Report No. 96–01 // College Entrance Examination Board [Электронный ресурс] URL: https://files.eric.ed.gov/fulltext/ED562584.pdf (дата обращения 13.10.2013).

14. Tobias S., Everson H. T. Knowing What You Know and What You Don’t: Further Research on Metacognitive Knowledge Monitoring. Research Report No. 2002–3 // College Entrance Examination Board. 2002 [Электронный ресурс] // URL: http://research.collegeboard.org/sites/default/files/publications/2012/7/researchreport-2002–3-metacognitive-knowledge-monitoring.pdf (дата обращения 7.10.2014).

15. Koptev D. E. Overconfidence in knowledge and success in studying literature by students of a secondary professional educational institution. Personality, Intelligence, Metacognition: Research Approaches and Educational Practices. Materials of the II International Conference (April 20–22, 2017, Kaluga, Russia). Kaluga, Politop Publ., 2017, pp. 98–103.

16. Metcalfe J. Metacognitive processes // Memory / Ed. E. L. Bjork, R. A. Bjork. Academic Press, Inc. 1996. P. 381–407.

17. Koriat A. Memory’s knowledge of its own knowledge: The accessibility account of the feeling of knowing // Metacognition: Knowing About Knowing / Ed. J. Metcalfe, A. P. Shimamura. Cambridge M. A.: MIT Press, 1996. P. 115–135.

18. Schwartz B. L., Benjamin A. S., Bjork R. A. The inferential and experiential bases of metamemory // Current Directions in Psychological Science. 1997. Vol. 6, № 5. P. 132–137.

19. Metcalfe J., Schwartz B. L., Joaquim S. G. The cue-familiarity heuristic in metacognition // Journal of Experimental Psychology: Learning, Memory, and Cognition. 1993. Vol. 19, № 4. P. 851–861.

20. Koriat A. Monitoring one’s own knowledge during study: A cue-utilization approach to judgments of learning // Journal of experimental psychology: general. – 1997. Vol. 126, № 4. P. 349–370.


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For citation: Fomin A.E. Contribution of heuristic inference to metacognitive monitoring of the solution of tests of knowledge by high school student. Professional education in the modern world. 2019;9(3):3103-3111. https://doi.org/10.15372/PEMW20190322

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