Discursive learning of students in terms of polytasking: retrospective analysis

Authors

DOI:

https://doi.org/10.29051/el.v7iesp.4.15666

Keywords:

Discursive learning, Polytasking, Student, University

Abstract

The article presents the results of the theoretical research of the issue of using the potential of discursive learning in the process of teaching students of the university in terms of specific polytasking. Possibilities of using discursive learning by structuring the educational material according to different forms of presentation (oral, written, problematic, non-verbal, indirect) have been emphasized. The model of hypothetical trajectories of discursive learning of a student of the university taking into account the features of polytasking has been developed based on the involvement of polytasking potential. The developed model specifies its target orientation (purpose, goal, expected result) and technological completeness. At the theoretical level, the stage-by-stage implementation of the model has been substantiated and the effects of its use in terms of the students’ classroom and extracurricular activities have been determined.

Downloads

Download data is not yet available.

Author Biographies

Mykola Chumak, National Pedagogical Dragomanov University, Kyiv

Doctor of Pedagogic Sciences, Professor.

Tetiana Lesina, Izmail State University of Humanities, Izmail

Doctor of Pedagogic Sciences, Professor.

Iryna Udovychenko, Sumy Regional Institute of Postgraduate Pedagogical Education, Sumy

Doctor of Pedagogic Sciences, Professor.

Yaroslav Kichuk, Izmail State University of Humanities, Izmail

Doctor of Pedagogic Sciences, Professor.

Mykola Mykhailichenko, National University of Life and Environmental Sciences of Ukraine, Kyiv

Ph.D.(Pedagogy).

References

ALKAHTANI, М.; AHMAD, А. Darmoul Polytasking Trends and Impact on Education: A Literature Review. Proceedings of the 18th International Conference on Supply Chain and Logistics Engineering, ICSCLE. Madrid, рр.995-1001. 2017.

AMELIN, А.; FISHCHUK, V.; LAVRYK, Y.; YURCHAK, О.; CHERNEV, E.; MATYUSHKO, V. “Ukraine 2030E – The country with the advanced digital economy”, 2019 [Online]. Disponível em: https://hvylya.net/analytics/economics/ukraina-2030e-kraina-z-rozvinutoju-cifrovojuekonomikoju.html

ANDRUSHCHENKO, V. 2019 Report of the Rector of the NPA. Kyiv: Vyd. NPU. 2019.

ARSAWAN, I. W. E.; KOVAL, V.; RAJIANI, I.; RUSTIARINI, N. W.; SUPARTHA, W. G.; SURYANTINI, N. P. S. Leveraging knowledge sharing and innovation culture into SMEs sustainable competitive advantage. International Journal of Productivity and Performance Management. 2020. DOI: https://doi.org/10.1108/IJPPM-04-2020-0192

AUSTRING, В.; SØRENSEN, М. Aesthetics and Learning. The Future of Education, 2, 11-15. 2013.

BAKHMAT, N. V.; DUDKA, T. Y.; LIUBARETS, V. V. Multimedia education technologies usage as the condition for quality training of the managers of socio-cultural activity. Information technologies and learning tools, (64 ,№ 2), 98-109. 2018.

BANTASH, A.; KOVAL, V.; BASHYNSKA, M.; KOZLOVTSEVA, V. Balanced territorial economic development in the conditions of providing stability of human resources management. Economics. Ecology. Socium, 4(3), 58-66. 2020.

BODNAR, S.; MIRKOVICH, I.; KOVAL, V. Human capital development in Ukrainian education system by means of language integrated teaching. Dilemas contemporaneos-educacion politica y valores, 7 (SI), 14. 2019.

BYKOV, V.; BUROV, О.; GURZHIY, А.; ZHALDAK, М.; LESHCHENKO, М. et al. Development of theoretical foundations of education informatization and practical implementation of information and communication technologies in the educational sphere of Ukraine. Zhytomyr: ZDU im. І. Franka. 2019.

CALDERWOOD, C.; ACKERMAN, P. L.; CONKLIN, E. M. What else do college students “do” while studying? An investigation of multitasking. Computers & Education, 75, 19-29. 2014.

CARRIER, L.; CHEEVER, N.; ROSEN, L.; BENITEZ S.; CHANG, J. Polytasking across generations: Polytasking choices and difficulty ratings in three generations of Americans. Computers in Human Behavior, 25, 483–489. 2009.

Center of digital learning technologies. “Naturalists, Ukrainian philologists, and future coaches are the leaders of digital education at the university!”. n.d. Disponível em: https://www.cctn.npu.edu.ua/ index.php/99-prodnychnyky-ukrainski-filolohy-i-maibutni-trenery-lidery-tsyfrovoi-osvity-v-universyteti.

DROBNIC, J. The Key Innovations in Career Guidance on Labour Market. Economics. Ecology. Socium, 3, 12-22. 2019.

HAJDUOVA, Z.; KLIMEK, M.; DANESHJO, N.; PROKOPENKO, O. Competitiveness of Franklin Templeton Fund Managers: Do the Fund Managers Exceed the Benchmark? Journal of Competitiveness, 3, pp. 70-80. 2019. DOI: https://doi.org/10.7441/joc.2019.03.05

HEITMANN, P.; HECHT, M.; SCHERER, R.; SCHWANEWEDEL, J. “Learning Science Is About Facts and Language Learning Is About Being Discursive”—An Empirical Investigation of Students' Disciplinary Beliefs in the Context of Argumentation. Frontiers in psychology, 8, 946. 2017.

IOANNOU, M. Investigating the discursive shift in the learning of Group Theory: Analysis of some interdiscursive commognitive conflicts. In: CERME 10. 2010.

IVARS, P.; FERNÁNDEZ, C.; LLINARES, S.; CHOY, B. H. Enhancing noticing: Using a hypothetical learning trajectory to improve pre-service primary teachers’ professional discourse. Eurasia Journal of Mathematics, Science and Technology Education, 14 (11), em1599. 2018.

JUDD, T.; KENNEDY, G. Measurement and evidence of computer-based task switching and multitasking by ‘Net Generation’students. Computers & Education, 56(3), 625-631. 2011.

KALISH, V. A cognitive and discursive approach in high school linguomethodics. Naukovi zapysky. Psykhologo-pedagogichni nauky, 4, 20-25. 2018.

KARPINSKI, A. C.; KIRSCHNER, P. A.; OZER, I.; MELLOTT, J. A.; OCHWO, P. An exploration of social networking site use, multitasking, and academic performance among United States and European university students. Computers in Human Behavior, 29(3), 1182-1192. 2013.

KOVAL, V.; POLYEZHAYEV, Y.; BEZKHLIBNA, A. Communicative competences in enhancing of regional competitiveness in the labour market. Baltic Journal of Economic Studies, 4(5), 105-113. 2018. DOI:10.30525/2256-0742/2018-4-5-105-113

KUDIN, А.; KUDIN, P.; PROSHCHENKO, А.; MINENKO, О.; KOVAL, R.; KUDINA, Т. Web-based information system for organizing communications during blended learning. Fizyko-matematychna osvita, 2, 66–71. 2019.

KUMPULAINEN, K.; RAJALA, A. Dialogic teaching and students’ discursive identity negotiation in the learning of science. Learning and Instruction, 48, 23-31. 2017.

KVITKA, S.; STARUSHENKO, G.; KOVAL, V.; DEFORZH, H.; PROKOPENKO, O. Marketing of Ukrainian higher educational institutions representation based on modeling of webometrics ranking. Marketing and Management of Innovations, 3, pp. 60-72. 2019.

MCSWEENEY, F. The Changing Role of the University: A Discursive Analysis of Good Teaching and Positioning of Academics and Students in Improving the Quality of Teaching and Learning in Europe’s Higher Education Institutions. Irish Journal of Academic Practice, 6(1), 3. 2017.

NOSENKO, Y.; SHYSHKINA, M.; OLEKSIUK, V. Collaboration between research institutions and university sector using cloud-based environment. 2018. arXiv preprint arXiv:1807.08741.

PRATIWI, I. M.; RACHMAN, S. P. D.; ARIAWAN, V. A. N. Students’ mathematical understanding reviewed by gender through discourse learning assisted by mathematical bet line strategy. Journal of Physics: Conference Series (Vol. 1157, No. 4, p. 042103). IOP Publishing. 2019.

PRENSKY, M. Education to better their world: Unleashing the power of 21st-century kids. Teachers College Press. 2016.

PROKOPENKO, O. V.; KARMINSKY, A. M.; KLYMENKO, O. V. The role of ratings in the educational process of higher education institutions. Marketing and Management of Innovations, 4(2), pp. 141–146. 2011.

SNOW, S.; WILDE, A.; DENNY, P.; SCHRAEFEL, M. C. A discursive question: Supporting student‐authored multiple choice questions through peer‐learning software in non‐STEMM disciplines. British Journal of Educational Technology, 50(4), 1815-1830. 2019.

STANDLEY, T.; ZAMIR, A.; CHEN, D.; GUIBAS, L.; MALIK, J.; SAVARESE, S. Which tasks should be learned together in multi-task learning?. International Conference on Machine Learning (pp. 9120-9132). PMLR. 2020.

THUNG, K. H.; WEE, C. Y. A brief review on multi-task learning. Multimedia Tools and Applications, 77(22), 29705-29725. 2018.

TORRENTS, І.; COMAS PARRA, М. Possibilities and limitations of digital polytasking for school homework. Quaderns de politioques familiars, 03. 2017. Disponível em: http://quadernsdepolitiquesfamiliars.org

WEIS, L. Theoretical Approach to E-Learning Quality. Economics. Ecology. Socium, 5, 33-45. 2021.

YOUNG, R. Discursive practice in language learning and teaching (Vol. 58). Malden, MA: Wiley-Blackwell. 2009.

ZHALDAK, М. Problems of informatization of educational process at secondary and higher educational establishments. Kompyuter u shkoli ta simyi, 3, 8-15. 2013.

ZHAO, J.; DU, B.; SUN, L.; ZHUANG, F.; LV, W.; XIONG, H. Multiple relational attention network for multi-task learning. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 1123-1131). 2019.

Published

10/11/2021

How to Cite

BRONISHEVSKA, O.; CHUMAK, M.; LESINA, T.; UDOVYCHENKO, I.; KICHUK, Y.; MYKHAILICHENKO, M. Discursive learning of students in terms of polytasking: retrospective analysis. Revista EntreLinguas, Araraquara, v. 7, n. esp.4, p. e021108 , 2021. DOI: 10.29051/el.v7iesp.4.15666. Disponível em: https://periodicos.fclar.unesp.br/entrelinguas/article/view/15666. Acesso em: 6 oct. 2024.