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Cognitive Engagement Involvement as a Basis for Designing the Educational Process in the Preparation of Students of Pedagogical Directions

https://doi.org/10.31992/0869-3617-2023-32-1-93-109

Abstract

The article presents the rationale and definition of the parameters of cognitive engagement of students in pedagogical areas of training that optimize the design of educational activities at the university, the results of assessing the quality of the educational process in the preparation of bachelors in the direction of “Pedagogical education” at the Tambov State University named after G.R. Derzhavin and Moscow State Regional University based on the application of the integral criterion of students’ cognitive engagement.
The article analyzes foreign and domestic research in the field of “cognitive engagement”, the best practices for monitoring the engagement of students in other areas at the Higher School of Economics, MEPhI, at the universities of the USA, identifies the main indicators and defines an integral criterion for the cognitive engagement of students in pedagogical areas based on their coordination with the cognitive mode learning activities and cognitive strategies of students, as well as the experience of diagnosing the cognitive engagement of student teachers.
The results of the study presented in the article are the basis for improving the efficiency and effectiveness of the activities of university departments that provide training of teaching staff by means of designing the educational process with high cognitive engagement of students. The developed diagnostic and technological tools can be used to manage, design, assess the quality of pedagogical activity, the educational result of a student and develop priority educational modes of training, learning technologies in higher pedagogical education, and can also serve as the basis for monitoring conducted by quality assessment units, auditing educational innovation at the university.

About the Authors

N. V. Garashkina
Moscow State Regional University
Russian Federation

Natalia V. Garashkina – Dr. Sci. (Education), Prof., Pedagogy and Modern Educational echnologies Department

24, Vera Voloshina str., Mytishchi, 141014, Moscow region



A. A. Druzhinina
Tambov State University named after G.R. Derzhavin
Russian Federation

Anastasia A. Druzhinina – Cand. Sci. (Education), Assoc. Prof., Theory and Methodology of Preschool and Primary Education Department

33, International str., Tambov, 392036, Tambov region



References

1. Degtyarev, V.A., Bashlykov, T.V. (2021). Problema vovlechennosti studentov v uchebnuyu deyatel’nost’ v Lipeckom filiale Finuniversiteta [The Problem of Student Involvement in Educational Activities in the Lipetsk Branch of the Financial University]. Gumanitarnye issledovaniya Central’noj Rossii= Humanitarian Studies of Central Russia. Vol. 2, no. 19, pp. 88-97, doi: 10.24412/2541-9056-2021-2-88-97 (In Russ.)

2. Nikolic, I., Bandur, V.R., Martinovic, D.D. (2020). The Role of Teachers in the Digital Age School. Sociological Review. Vol. 54, no. 1. pp. 88-103, doi:10.5937/socpreg54-24527

3. Chen, P.S.D., Gonyea, R., Kuh, G. (2008). Learning at a Distance. Journal of online education. Vol. 4, no. 3, pp. 109-119. Available at: http://innovateonline.info/index.php?view=article&id=438&action=login (accessed 21.08.2022).

4. Krause, K. (2005). Understanding and Promoting Student Engagement in University Learning Communties. Melbourne: University of Melbourne. 15 p. URL: https://melbourne-cshe.unimelb.edu.au/__data/assets/pdf_file/0007/1761523/Stud_eng.pdf (accessed 21.08.2022).

5. Pace, C.R. (1984). Measuring the Quality of College Student Experiences. An Account of the Development and Use of the College Student Experience Questionnaire. Los Angeles: Higher Education Research Institute Graduate School of Education University of California. 142 p. URL: https://files.eric.ed.gov/fulltext/ED255099.pdf (accessed 21.08.2022)

6. Bulger, M.E., Mayer, R.E., Almeroth, K.C., Blau, S.D. (2008). Measuring Learner Engagement in Computer-Equipped College Classrooms. Journal of Educational Multimedia and Hypermedia. Vol. 17, no. 2, pp. 129-143. Available at: https://www.learntechlib.org/primary/p/23524/ (accessed 21.08.2022).

7. Coates, H. (2006). Student Engagement in Campus-Based and Online Education: University Connections. London: Routledge. 212 p. URL: https://ira.aua.am/files/2012/04/Student-Engagement-in-Campus-Based-and-Online-Education_-University-Connections-2006.pdf (accessed 21.08.2022).

8. Beer, C., Clark, K., Jones, D. (2010). Indicators of Engagement. Curriculum, Technology & Transformation for an Unknown Future. Proceedings of the Australasian Society for Computers in Learning in Tertiary Education (eds C. H. Steel, M. J. Keppell, P. Gerbic, S. Housego), Sydney, pp. 75-86. Available at: https://www.researchgate.net/publication/236982526_Indicators_of_engagement_electronic_resource_ColinBeer_Ken_Clark_and_David_Jones

9. Garashkina, N.V., Druzhinina, A.A. (2020). Integraciya sinhronnogo i asinhronnogo formatov obucheniya studenta kak napravlenie cifrovizacii vysshego obrazovaniya [Integration of Synchronous and Asynchronous Student Learning Formats as a Direction of Digitalization of Higher Education]. Gumanizaciya obrazovaniya = Humanization of Education. No. 4, pp. 15-25, doi: 10.24411/1029-3388-2020-10116 (In Russ., abstract in Eng.)

10. Hackevich, T.A., Furyaeva, T.V. (2018). Social’no-pedagogicheskaya proektnaya deyatel’nost’ kak sredstvo aktivizacii obrazovatel’noj vovlechennosti studentov-internov [Socio-pedagogical Project Activity as a Means of Activating the Educational Involvement of Interns]. Sibirskij pedagogicheskij zhurnal. = Siberian Pedagogical Journal. No. 2, pp. 94-100. (In Russ., abstract in Eng.)

11. Kolychev, V.D., Budanov, N.A. (2022). Student and Research and Teaching Staff Engagement as an Indicator of Corporate Culture Assessment and a Tool for University’s Personnel Reserve Formation. Vyshee obrazovanie v Rossii = Higher Education in Russia. Vol. 31, no. 2, pp. 42-57, doi: 10.31992/0869-3617-2022-31-2-42-57 (In Russ., abstract in Eng.)

12. Pekrun, R., Linnenbrink-Garcia, L. (2012). Academic Emotions and Student Engagement. In: Christenson, S.Reschly, A., Wylie, C., eds. Handbook of Research on Student Engagement. New York: Springer, pp. 259-282, doi: 10.1007/978-1-4614-2018-7_12

13. Fredricks, J.A., Blumenfeld, P.C., Paris, A.H. (2004). School Engagement: Potential of the Concept, State of the Evidence. Review of Educational Research. Vol. 74, no. 1, pp. 59-109, doi: 10.3102/00346543074001059

14. Douglas, I. (2008). Measuring Participation in Internet Supp. Paper presented at the 2008 International Conference on Computer Science and Software Engineering, Wuhan, China. Doi: 10.1109/CSSE.2008.1632

15. Henrie, C.R., Halverson, L.R., Graham, C.R. (2015). Measuring Student Engagement in Technology-Mediated Learning: A Review. Computers & Education. Vol. 90, pp. 36-53, doi:10.1016/j.compedu. 2015.09.005

16. Appleton, J.J., Christenson, S.L., Kim, D., Reschly, A.L. (2006). Measuring Cognitive and Psychological Engagement: Validation of the Student Engagement Instrument. Journal of School Psychology. Vol. 44, pp. 427-445, doi: 10.1016/j.jsp.2006.04.002

17. Fomina, T.G., Potanina, A.M., Morosanova, V.I. (2020). Vzaimosvyaz’ shkol’noj vovlechennosti i samoregulyacii uchebnoj deyatel’nosti: sostoyanie problemy i perspektivy issledovanij v Rossii i za rubezhom [Relationship between School Involvement and Self-regulation of Educational Activities: State of the Problem and Prospects for Research in Russia and Abroad]. Vestnik RUDN. Seriya: Psihologiya i pedagogika = RUDN Journal of Psychology and Pedagogics. Vol. 17, no. 3, pp. 390-411, doi: 10.22363/2313-1683-2020-17-3-390-411 (In Russ., abstract in Eng.)

18. Greene, B.A., Miller, R.B. (1996). Influences on Achievement: Goals, Perceived Ability, and Cognitive Engagement. Contemporary Educational Psychology. Vol. 21, pp. 181-192, doi: 10.1006/ceps.1996.0015

19. Craik, F.I.M., Lockhart, R.S. (1972). Levels of Processing: A Framework for Memory Research. Journal of Verbal Learning and Verbal Behavior. Vol. 11, pp. 671-684, doi: 10.1016/S0022-5371(72)80001-X

20. Greene, B.A. (2015). Measuring Cognitive Engagement with Self-report Scales: Reflections from over 20 Years of Research. Educational Psychologist. Vol. 50, pp. 14-30, doi: 10.1080/00461520.2014.989230

21. Walker, C.O., Greene, B.A., Mansell, R.A. (2005). Identification with Academics, Intrinsic/Extrinsic Motivation, and Self-efficacy as Predictors of Cognitive Engagement. Learning and Individual Differences, Vol. 16, no. 1, pp. 1-12, doi: 10.1016/j.lindif.2005.06.004

22. Kiseleva, N.V. (2019) Social’no-psihologicheskie harakteristiki vovlechennosti v nepreryvnoe obrazovanie [Socio-Psychological Characteristics of Involvement in Lifelong Education]: Avtoref. dis. ... kand. psih. nauk. Moskow, 26 p. (In Russ.)

23. Pintrich, P.R. (2015). Motivated Strategies for Learning Questionnaire (MSLQ). Mediterranean Journal of Social Sciences. Vol. 6, no. 1, pp. 156-164, doi: 10.5901/mjss.2015.v6n1p156

24. Lutz, M.E., Culver, S.M. (2010). The National Survey of Student Engagement: A University-level Analysis. Tertiary Education and Management. Vol. 16, no. 1, pp. 35-44. doi:10.1080/13583881003629814

25. Kuh, G. (2007). What Student Engagement Data Tell Us about College Readiness. Peer Review. Vol. 9, no. 1, pp. 4-8. URL: https://scholarworks.iu.edu/dspace/bitstream/handle/2022/24379/What%20student%20engagement%20data%20tell%20us%20about%20college%20readiness.pdf?sequence=1&isAllowed=y

26. Pravdina, M. (2010). Stili prepodavaniya i vovlechennost’ studentov GU VSHE v process obucheniya: ocenka pozitivnyh effektov [Teaching Styles and Engagement of HSE Students in the Learning Process: Assessing the Positive Effects]. Monitoring universiteta [University Monitoring]. No. 3, pp. 2-11. URL: https://www.hse.ru/mag/monitoring/2010--3.html (In Russ.)

27. King, A. (1992). Comparison of Self-questioning, Summarizing, and Notetaking-review as Strategies for Learning from Lectures. American Educational Research Journal. Vol. 29, pp. 303-323, doi: 10.2307/1163370

28. Klahr, D., Nigam, M. (2004). The Equivalence of Learning Paths in Early Science Instruction: Effect of Direct Instruction and Discovery Learning. Psychological Science. Vol. 15, pp. 661-667, doi: 10.1111/j.0956-7976.2004.00737.x

29. Greene, B.A. (2010). Teacher Quality and Student Success: Testing the K20 Science Professional Development Model (K20 Science) for Rural Science Teachers. NSF Final Report. Award no. 0634070.

30. Winne, P.H. (2010). Improving Measurements of Self-regulated Learning. Educational Psychologist. Vol. 45, pp. 267-276, doi: 10.1080/00461520.2010.517150

31. Gobert, J.D., Sao Pedro, M. A. (2017). Digital Assessment Environments for Scientific Inquiry Practices. In: A.A. Rupp & J. P. Leighton (Eds.), The Wiley Handbook of Cognition and Assessment Frameworks, Methodologies, and Applications (pp. 508-534). Hoboken, NJ: John Wiley & Sons Inc. URL: https://files.eric.ed.gov/fulltext/ED614577.pdf

32. Chi, M.T.H., Adams, J., Bogusch, E.B., Bruchok, C., Kang, S., Lancaster, M., Levy, R., Li, N., McEldoon, K.L., Stump, G.S., Wylie, R., Xu, D., Yaghmouriank, D.L. (2018). Translating the ICAP Theory of Cognitive Engagement Into Practice. Cognitive Science. Vol. 42. pp. 1777-1832, doi: 10.1111/cogs.12626

33. Ohotina, A.S. (2021) Ocenka kognitivnoj komponenty vovlechennosti studentov v NIR po analizu teksta nauchnoj stat’I [Evaluation of the Cognitive Component of Students’ Involvement in R&D Based on the Analysis of the Text of a Scientific Article]. Innovacionnye resheniya social’nyh, ekonomicheskih i tekhnologicheskih problem sovremennogo obshchestva [Innovative Solutions to Social, Economic and Technological Problems of Modern Society], pp. 93-94. (In Russ.)

34. Abitov, I.R., Ustin, P.N., Artishcheva, L.V. (2022) Vovlechennost’ v uchebnuyu deyatel’nost’ kak poznavatel’noe psihicheskoe sostoyanie: opyt issledovaniya [Involvement in Learning Activities as a Cognitive Mental State: Research Experience]. Kazanskij pedagogicheskij zhurnal = Kazan Pedagogical Journal. Vol. 3, no. 152. pp. 218-225, doi: 10.51379/KPJ.2022.153.3.028 (In Russ., abstract in Eng.)

35. Chi, M.T.H., Wylie, R. (2014). The ICAP Framework: Linking Cognitive Engagement to Active Learning Outcomes. Educational Psychologist. Vol. 49, no. 4, pp. 219-243. doi:10.1080/00461520.2014.965823

36. McConnell, D.A., Chapman, L.A., Czajka, C.D., Jones, J.P., Ryker, K.D., Wiggen, J. (2017). Instructional Utility and Learning Efficacy of Common Active Learning Strategies. Journal of Geoscience Education. Vol. 65, no. 4, pp. 604-625, doi: 10.5408/17-249.1

37. Derby, E., Larsen, D., Schwaber, K. (2006). Agile Retrospectives: Making Good Teams Great. 1st Edition. 181 p. ISBN: 9780977616640

38. Druzhinina, A.A., Garashkina, N.V. (2022) Lichnostno-professional’noe razvitie studentov – budushchih pedagogov s ispol’zovaniem form perevernutogo obucheniya [Personal and Professional Development of Students – Future Teachers Using the forms of Flipped Learning]. Perspektivy nauki i obrazovaniya = Perspectives of science and education. Vol. 4, no. 58, pp. 128-145, doi: 10.32744/pse.2022.4.8 (In Russ., abstract in Eng.)


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ISSN 0869-3617 (Print)
ISSN 2072-0459 (Online)