DOI: 
http://dx.doi.org/10.15293/1813-4718.2106.10
UDC: 
378+11+159.96
Melnichuk Marina Vladimirovna
Доктор экономических наук, Dr. Sci. (Econom.), Cand. Sci. (Pedag.), Prof., Head of the Department of English for Professional Communication, Financial University under the Government of the Russian Federation, mvmelnichuk@fa.ru, Moscow
Belogash Marina Anatolievna
Assoc. Prof., Department of English for Professional Communication, Financial University under the Government of the Russian Federation, mbelogash@fa.ru, Moscow

Emotional Intelligence as the Subject of Studying Metacognitive Processes in Universities

Abstract: 
In the context of modern digital transformation of all aspects of the socioeconomic environment, training university students for analytical processing of increasing inflows of data and dealing with complex cognitive tasks driven by metacognition has become of particular importance. The research is aimed to review the structure of metacognitive processing, the development factors of metacognitive skills, the relation of metacognitive skills to emotional and cognitive skills, and to determine their role in the achievement of academic success of university students. Methodology. The research is undertaken on the basis of theoretical investigation and comprehensive analysis of theoretical conceptualization of intelligence. The authors have researched the derivation of metacognition, the structure of self-regulating metacognitive processes and their interaction with cognitive and affective processes. The research findings confirm that the metacognitive experience provides self-reflection, emotional awareness of feelings, estimating relationships between emotional states and the degree of implementation or attainability of a cognitive task. The authors conclude that emotional intelligence is manifested in metacognitive skills and predicts academic success. Also, teaching and learning strategies are required to be refined taking into account the development of emotional and metacognitive skills of university students.
Keywords: 
metacognitive skills, emotional skills, academic success
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References: 

1. Kashapov, M. M., 2017. Over-situational thinking as a cognitive resource of the individual. Izvestia of the Irkutsk State University. Series «Psychology», vol. 22, pp. 3–9. (In Russ.)
2. Surina, N. V., 2021. Resource thinking as a professionally important quality of a teacher in the modern educational environment. New psychology of professional work of a teacher: from an unstable reality to sustainable development, no. 1. Available at: https://cyberleninka.ru/article/n/resursnost-myshleniya-kak-professional... (accessed 07.07.2021) (In Russ.)
3. Federal State Educational Standard 38.03.01 Order of the Ministry of Education and Science of Russia dated 12.08.2020 No. 954 [online]. Available at: https://fgos.ru/fgos/fgos-38-03-01-ekonomika-954/ (accessed 08.07.2021) (In Russ.)
4. Holodnaya, M. A., 2002. Psychology of Intellect: Paradoxes of Research. St. Petersburg: Peter Publ., 272 p. (In Russ.)
5. Baker, L., 2010. Metacognition. International Encyclopedia of Education (Third Edition). Oxford, UK: Academic Press Publ., pp. 204–210. (In Eng.)
6. Bar-On, R., Tranel, D., Denburg, N., & Bechara, A., 2003. Exploring the neurological substrate of emotional and social intelligence. Brain, vol. 126, iss. 8, pp. 1790–1800. DOI: https://doi.org/10.1093/brain/awg177. (In Eng.)
7. Bianchi, G. A., 2008. Effects of Metacognitive Instruction on the Academic Achievement of Students in the Secondary Sciences (Doctoral Dissertation). Seattle Pacific University, 95 p.
(In Eng.)
8. Blank, L. M., 2000. A Metacognitive Learning Cycle: A Better Warranty for Student Understanding? Science Education, no. 84, pp. 486–506. DOI: http://dx.doi.org/10.1002/1098-237X(200007)84:43.0.CO;2-U (In Eng.)
9. Brackett, M., Rivers, S., Reyes, M., Salovey, P., 2012. Enhancing academic performance and social and emotional competence with the RULER feeling words curriculum. Learning and Individual Differences, no. 22 (2), pp. 218–224. DOI: https://doi.org/10.1016/ j.lindif.2010.10.002. (In Eng.)
10. Brody, N., 1997. Intelligence, Schooling, and Society. American Psychologist, no. 52, pp. 1046–1050. DOI: http://dx.doi.org/10.1037/0003-066X.52.10.1046 (In Eng.)
11. Bush, G., Luu, P., Posner, M. I., 2000. Cognitive and emotional influences in anterior cingulated cortex. Trends in Cognitive Sciences, no. 4, pp. 215–222. (In Eng.)
12. Cacioppo, J. T., Berntson, G. G., 1999. The Affect System: Architecture and Operating Characteristics. Current Directions in Psychological Science, no. 8, pp. 133–137. (In Eng.)
13. Carver, C. S., 2003. Pleasure as a sign you can attend to something else. Placing positive feelings within a general model of affect. Cognition and Emotion, no. 17, pp. 241–261. (In Eng.)
14. Carver, C. S., Scheier, M. F., 1998. On the Self-Regulation of Behavior. Cambridge, UK: Cambridge University Press (In Eng.)
15. Clore, G. L., Huntsinger, J. R., 2007. How emotions inform judgment and regulate thought. Trends in Cognitive Sciences, no. 11, pp. 393–399. (In Eng.)
16. Colom, R., Flores-Mendoza, C., 2007. Intelligence Predicts Scholastic Achievement Irrespective of SES Factors: Evidence from Brazil. Intelligence, no. 35, pp. 243–251. DOI: http://dx.doi.org/10.1016/j.intell.2006.07.008 (In Eng.)
17. Crone, E. A., Dahl, R. E., 2012. Understanding adolescence as a period of social-affective engagement and goal flexibility. Nature Reviews Neuroscience, no. 13, рр. 636–650. (In Eng.)
18. Csíkos, C., Steklács, J., 2010. Metacognition-Based Reading Intervention Programs among Fourth-Grade Hungarian Students. A. Efklides, P. Misailidi, еds. Trends and Prospects in Metacognition Research. New York: Springer Science + Business Media, pp. 345–366. (In Eng.)
19. Derksen, J., Kramer, I., Katzko, M., 2002. Does a self-report measure for emotional intelligence assess something different than general intelligence? Personality and Individual Differences, no. 32 (1), pp. 37–48. DOI: https://doi.org/10.1016/S0191-8869(01) 00004-6. (In Eng.)
20. Efklides, A., 2006. Metacognition and Affect: What can metacognitive experiences tell us about the learning process? Educational Research Review, no. 1, pp. 3–14. (In Eng.)
21. Fernandez-Duque, D., Baird, J. A., Posner, M. I., 2000. Executive attention and metacognitive regulation. Consciousness and Cognition, no. 9, pp. 288–307. (In Eng.)
22. Flavell, J. H., 1976. Metacognitive aspects of problem solving. L. B. Resnick, ed. The nature of intelligence. Hillsdale, NJ: Erlbaum Publ., pp. 231–236 (In Eng.)
23. Flavell, J. H., 1979. Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, no. 34, pp. 906–911. (In Eng.)
24. Flavell, J. H., 1987. Speculation about the nature and development of metacognition. F. Weinert, R. Kluwe, eds. Metacognition, motivation, and understanding. Hillsdale, NJ: Lawrence Erlbaum Publ., pp. 21–29 (In Eng.)
25. Goleman, Daniel, 1995. Emotional Intelligence: Why It Can Matter more Than IQ. New York: Bantam Books Publ. (In Eng.)
26. Gomes, Ch. M. A., Golino, H. F., Menezes, I. G., 2014. Predicting School Achievement Rather than Intelligence: Does Metacognition Matter? Psychology, no. 5, pp. 1095–1110. (In Eng.)
27. Hacker, J., 1998. Teaching new thinking. Journal of developmental Psychol., vol. 5 (In Eng.)
28. Hasselhorn, M., Labuhn, A. S., 2011. Matecognition and Self-regulated Learning. Encyclopedia of Adolescence. London: Academic Publ., рр. 223–230. (In Eng.)
29. Mayer, J. D., Salovey, P., 1993. The intelligence of emotional intelligence. Intelligence, no. 17 (4), рр. 433–442. DOI: https://doi.org/10.1016/0160-2896(93)90010-3 (In Eng.)
30. Martin, R. E., Ochsner, K. N., 2016. The Neuroscience of Emotion Regulation Development: Implications for Regulation. Current Opinion in Behavioral Sciences, vol. 10, pp. 142–148. (In Eng.)
31. Petrides, K. V., Pita, R., Kokkinaki, F., 2007. The location of trait emotional intelligence in personality factor space. British Journal of Psychology, no. 98, pp. 273–289. DOI: 10.1348/
000712606X120618 (In Eng.)
32. Sternberg, R. J., 1986. Inside intelligence. American Scientist, no. 74, pp. 137. (In Eng.)
33. Thompson, W., Schellenberg, E., Husain, G., 2004. Decoding speech prosody: D music lessons help? Emotion, no. 4 (1), pp. 46–64. DOI: https://doi.org/10.1037/1528-3542.4.1.46 (In Eng.)
34. Van der Stel, M., Veenman, M., 2008. Relation between Intellectual Ability and Metacognitive Skillfulness as Predictors of Learning Performance of Young Students Performing Tasks in Different Domains. Learning and Individual Differences, no. 18, pp. 128–134. DOI: http://dx.doi.org/10.1016/j.lindif.2007.08.003 (In Eng.)
35. Van der Stel, M., Veenman, M., 2010. Development of Metacognitive Skillfulness: A Longitudinal Study. Learning and Individual Differences, no. 20, pp. 220–224. DOI: http://dx.doi.org/
10.1016/j.lindif.2009.11.005 (In Eng.)
36. Veenman, M. V. J., 1993. Intellectual Ability and Metacognitive Skill: Determinants of Discovery Learning in Computerized Environments: Dissertation. Amsterdam: Universiteit van Amsterdam. (In Eng.)
37. Veenman, M. V. J., Beishuizen, J. J., 2004. Intellectual and Metacognitive Skills of Novices While Studying Texts under Conditions of Text Difficulty and Time Constraint. Learning and Instruction, no. 14, pp. 621–640. DOI: http://dx.doi.org/10.1016/j.learninstruc.2004.09.004 (In Eng.)
38. Veenman, M. V. J., Kerseboom, L., Imthorn, C., 2000. Test Anxiety and Metacognitive Skillfulness: Availability versus Production Deficiencies. Anxiety, Stress and Coping, no. 13, pp. 391–412. DOI: http://dx.doi.org/10.1080/10615800008248343 (In Eng.)
39. Veenman, M. V. J., Spaans, M., 2005. Relation between Intellectual and Metacognitive Skills: Age and Task Differences. Learning and Individual Differences, no. 15, pp. 159–176. DOI: http://dx.doi.org/10.1016/j.lindif.2004.12.001 (In Eng.)
40. Veenman, M. V. J., Wilhelm, P., Beishuizen, J. J., 2004. The Relation between Intellectual and Metacognitive Skills from a Developmental Perspective. Learning and Instruction, no. 14,
pp. 89–109. DOI: http://dx.doi.org/10.1016/j.learninstruc.2003.10.004 (In Eng.)
41. Watkins, M., Lei, P., Canivez, G., 2007. Psychometric Intelligence and Achievement: A Cross-Lagged Panel Analysis. Intelligence, no. 35, pp. 59–68. (In Eng.)