An adaptive system of teaching a foreign language to students of pedagogical specialties: European experience

Natalia Kosharna; Lada Petryk; Olha Sytnyk; Yuliia Rudnik; Liudmyla Hapon

doi:10.31893/multiscience.2023ss0512

Keywords:

adaptive teaching

European experience

foreign language

primary school teacher

secondary school teacher

trauma-informed pedagogy

Abstract

The individual characteristics of foreign language acquisition among students of pedagogical specialties and the selection of adaptive technologies considering these characteristics are examined in the article. An analysis of studies by methodological researchers that explores the psycho-physiological features of students' memory, thinking, attention, and the emotional sphere is provided. The article presents data on training students in pedagogical specialties based on the authors' developed learning model, utilizing adaptive educational technologies that consider individual language learning styles. Adaptive technologies such as communicative and audio-visual methods (AVM), personalized learning technologies, control-corrective teaching technologies (CCTT), business games, and adaptation-expansion-variation (AEV) learning technologies by both domestic and foreign authors are discussed. It is proven that students possess significant potential in intelligence and personality for effectively acquiring a foreign language in intensive learning conditions. For teachers, it is vital to select the appropriate adaptive technologies based on each student's group and individual characteristics. At the same time, educational institutions need to implement specific measures to support existing motivation and identify personal student traits that actively influence the learning process. Existing research conducted both in our country and abroad (mainly focusing on adaptive information systems) does not provide unanimous consensus on the effectiveness of the adaptive approach. Whether this is due to shortcomings in the conducted studies or the limitations of adaptive technologies remains to be seen as the adaptive approach is still in development. However, this method has shown effectiveness for students with certain levels of knowledge, skills, language abilities, and motivation when learning any foreign language. Other researchers in teaching foreign languages in pedagogical institutions can consider these results and develop their own variations of educational content within the framework of standard discipline programs. The more such studies are conducted, the faster this field of educational technology will be developed and the more promising its application will become clear. Additionally, the study can be extended toward developing electronic platforms based on existing content.
References
1. Akimova N, Akimova A, Akimova A (2022) The study of the genesis of internet texts understanding in adolescence depends on the level of mental and speech development. Psycholinguistics 31(1) 6-24. doi:10.31470/2309-1797-2022-31-1-6-24
2. Bakhov I., Opolska N, Bogus M, Anishchenko V, Biryukova Y (2021) Emergency distance education in the conditions of COVID-19 pandemic: Experience of Ukrainian universities. Education Sciences 11(7) doi:10.3390/educsci11070364
3. Bernard RM, Borokhovs ME, Schmid RF et al. (2015) Twenty-first-century adaptive teaching and individualized learning operationalized as specific blends of student-centered instructional events. A systematic review and meta-analysis. Review of Educational Research Vol 85 No. 2, 275-314.
4. Brown M, McCormack M, Reeves J, et al (2020) Educause Horizon Report. Teaching and Learning Edition 58 p.
5. Jones A, Scanlon V, Gaved C. et al (2013) Challenges in personalization: supporting mobile science inquiry learning across contexts. Research and Practice in Technology Enhanced Learning Vol. 8 No. 1. P. 21-42
6. Chen CM, Lee HM, Chen YH (2005) Personalized e-learning system using item response theory. Computers and Education Vol. 44 No. 3, 237–255.
7. Chiu T. K. F., Mok I. A. C. Learner expertise and mathematics different order thinking skills in multimedia learning. Computers & Education. 2017. Vol. 107. P. 147–164. DOI: https:// doi.org/10.1016/j.compedu.2017.01.008
8. ChrysafiadiK., Troussas C., Virvou M. A Framework for Creating Automated Online Adaptive Tests Using Multiple-Criteria Decision Analysis. Proceedings of 2018 IEEE International Conference on Systems, Man, and Cybernetics: Miyazaki, Japan, 7-10 October 2018. Miyazaki: IEEE, 2018. P. 226–231. DOI: doi.org/10.1109/SMC.2018.00049
9. Dagger D, Wade V, Conlan O (2002) Towards a standards-based approach to e-learning personalization using reusable learning objects E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. Association for the Advancement of Computing in Education (AACE) 210–217
10. FitzGerald EN, Kucirkova AC, Jones S. (2018) Cross Dimensions of personalization in technology-enhanced learning: A framework and implications for design. British Journal of Educational Technology Vol. 49 No. 1, 165-181
11. Briggs A, Anderson T, Gebrekristos S et al. (2019) Evaluation of Adaptive Learning in Statistics (ALiS): Testing an Online Adaptive Learning Platform at Nine Postsecondary Institutions in Maryland. Research Report Urban Institute, 2019.
12. Iatsyshyn A, Iatsyshyn A, Kovach V, Zinovieva I, Artemchuk V, PopovO, Turevych A (2020) Application of open and specialized geoinformation systems for computer modeling studying by students and Ph.D. students. Paper presented at the CEUR Workshop Proceedings, 2732 893-908.
13. Johanes P, Lagerstrom L. (2017) Adaptive Learning: The Premise, Promise, and Pitfalls. Proceedings of the 124th ASEE Annual Conference and Exposition. ASEE PEER https://peer. asee.org/adaptive-learning-the-premise-promise-and-pitfalls
14. Alekseieva K, Maletych M, Ptashchenko O, Baranova O, Buryk Z (2023) State Business Support Programs in Wartime Conditions. Economic Affairs, Vol. 68, No. 01s, 231-242. http://ndpublisher.in/admin/issues/EAv68n1sz.pdf
15. Kirschner PA (2017) Stop propagating the learning styles myth. Computers & Education Vol. 106, 166–171
16. Kosharna N, Zhuravlova L, Nieliepova A, Sidorova I, Lopatynska N (2020) Professional training of primary school teachers (experience of Great Britain, Sweden) Kosharna N, Zhuravlova L, Nieliepova A, Sidorova I, Lopatynska N (2020) Applied Linguistics Research Journal. № 4 (9), 159–173. DOI: 10.14744/alrj.2020.82712.
17. Kosharna N, Ordynska I, Hlushkovetska N, Nehrych N, Lysenko T (2022). The application of communicative linguistics in studying foreign languages (an example of the English language). Revista de Tecnología de Información y Comunicación en Educación https://elibrary.kubg.edu.ua/id/eprint/43386
18. Kosharna N, Petryk L (2022). Hyflex organization of foreign language teaching: specialties 013 "Primary education" and 012 "Preschool education" // Continuing professional education: theory and practice (Series: Pedagogical Sciences) 3 (72), 2 (3), 24-32. ISSN 1609-8595 https://doi.org/10.28925/1609-8595.2022.3.3
19. Kryshtanovych M, Akimova L, Akimov O, Parkhomenko-Kutsevil O, Omarov A (2022) Features of creative burnout among educational workers in the public administration system. Creativity Studies 15(1), 116-129. doi:10.3846/cs.2022.15145
20. Ladonko L, Mozhaikina N, Buryk Z, Ostrovskyi I, Saienko V (2023) Regional aspects of the economy modernization: the qualitative evidence from EU countries. International Journal for Quality Research, 2023, 16(3) 851–862
21. Martin F, Markant D (2020) Adaptive learning modules. The SAGE encyclopedia of higher education. London: Sage, 2–4
22. Nabizadeh AH, Gonqalves, SD, Gama et al.(2020) Adaptive learning path recommender approach using auxiliary learning objects. Computers and Education. Vol. 147. P. 1-17. DOI: https://doi.org/10.1016/jj.compedu.2019.103777
23. Newman A, Stokes P, Bryant G (2013) Learning to adapt: A case for accelerating adaptive learning in higher education. Boston, MA: Education Growth Advisors, 18 p.
24. Oxman S, Wong W (2014) White paper: Adaptive learning systems. Integrated Education Solutions
25. Higgins S, Mackrill D, Sebba JC (2008) Robinson Personalizing Learning: the learner perspective and their influence on demand. Review Report 17
26. Semenets-Orlova I, Klochko A, Tereshchuk O, Denisova L, Nestor V, & Sadovyi S (2022) Special aspects of educational managers’ administrative activity under conditions of distance learning. Journal of Curriculum and Teaching 11(1), 286-297 doi:10.5430/jct.v11n1p286
27. Semenets-Orlova I, Shevchuk R, PlishB, Moshnin A, Chmyr Y, & Poliuliakh R (2022) The human-centered approach in new development tendencies of value-oriented public administration: Potential of education. Economic Affairs (New Delhi) 67(5), 899–906. doi:10.46852/0424-2513.5.2022.25
28. Strayer JF (2012) How learning in an inverted classroom influences cooperation, innovation, and task orientation. Learning environments research Vol. 15, No. 2. 171–193.
29. Udovychenko L, Kuzminets N, Stadnik O, Kosharna N, Petryk L (2021) The use of blended learning technology in training for students of pedagogical specialties. Revista on line de Política e Gestão Educacional 25 (3). P. 2258-2271. https://doi.org/10.22633/rpge.v25i3.15958
30. Wang Y, Liao HCh. (2011) Adaptive learning for ESL based on computation. British Journal of Educational Technology Vol. 42, No. 1. 66–87. DOI: https://doi.org/10.1111/jj.1467-8535.2009.00981.x

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to cite

Kosharna, N., Petryk, L., Sytnyk, O., Rudnik, Y., & Hapon, L. (2023). An adaptive system of teaching a foreign language to students of pedagogical specialties: European experience. Multidisciplinary Science Journal, 5, 2023ss0512. https://doi.org/10.31893/multiscience.2023ss0512

[1] Akimova N, Akimova A, Akimova A (2022) The study of the genesis of internet texts understanding in adolescence depends on the level of mental and speech development. Psycholinguistics 31(1) 6-24. doi:10.31470/2309-1797-2022-31-1-6-24

[2] Bakhov I., Opolska N, Bogus M, Anishchenko V, Biryukova Y (2021) Emergency distance education in the conditions of COVID-19 pandemic: Experience of Ukrainian universities. Education Sciences 11(7) doi:10.3390/educsci11070364

[3] Bernard RM, Borokhovs ME, Schmid RF et al. (2015) Twenty-first-century adaptive teaching and individualized learning operationalized as specific blends of student-centered instructional events. A systematic review and meta-analysis. Review of Educational Research Vol 85 No. 2, 275-314.

[4] Brown M, McCormack M, Reeves J, et al (2020) Educause Horizon Report. Teaching and Learning Edition 58 p.

[5] Jones A, Scanlon V, Gaved C. et al (2013) Challenges in personalization: supporting mobile science inquiry learning across contexts. Research and Practice in Technology Enhanced Learning Vol. 8 No. 1. P. 21-42

[6] Chen CM, Lee HM, Chen YH (2005) Personalized e-learning system using item response theory. Computers and Education Vol. 44 No. 3, 237–255.

[7] Chiu T. K. F., Mok I. A. C. Learner expertise and mathematics different order thinking skills in multimedia learning. Computers & Education. 2017. Vol. 107. P. 147–164. DOI: https:// doi.org/10.1016/j.compedu.2017.01.008

[8] ChrysafiadiK., Troussas C., Virvou M. A Framework for Creating Automated Online Adaptive Tests Using Multiple-Criteria Decision Analysis. Proceedings of 2018 IEEE International Conference on Systems, Man, and Cybernetics: Miyazaki, Japan, 7-10 October 2018. Miyazaki: IEEE, 2018. P. 226–231. DOI: doi.org/10.1109/SMC.2018.00049

[9] Dagger D, Wade V, Conlan O (2002) Towards a standards-based approach to e-learning personalization using reusable learning objects E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. Association for the Advancement of Computing in Education (AACE) 210–217

[10] FitzGerald EN, Kucirkova AC, Jones S. (2018) Cross Dimensions of personalization in technology-enhanced learning: A framework and implications for design. British Journal of Educational Technology Vol. 49 No. 1, 165-181

[11] Briggs A, Anderson T, Gebrekristos S et al. (2019) Evaluation of Adaptive Learning in Statistics (ALiS): Testing an Online Adaptive Learning Platform at Nine Postsecondary Institutions in Maryland. Research Report Urban Institute, 2019.

[12] Iatsyshyn A, Iatsyshyn A, Kovach V, Zinovieva I, Artemchuk V, PopovO, Turevych A (2020) Application of open and specialized geoinformation systems for computer modeling studying by students and Ph.D. students. Paper presented at the CEUR Workshop Proceedings, 2732 893-908.

[13] Johanes P, Lagerstrom L. (2017) Adaptive Learning: The Premise, Promise, and Pitfalls. Proceedings of the 124th ASEE Annual Conference and Exposition. ASEE PEER https://peer. asee.org/adaptive-learning-the-premise-promise-and-pitfalls

[14] Alekseieva K, Maletych M, Ptashchenko O, Baranova O, Buryk Z (2023) State Business Support Programs in Wartime Conditions. Economic Affairs, Vol. 68, No. 01s, 231-242. http://ndpublisher.in/admin/issues/EAv68n1sz.pdf

[15] Kirschner PA (2017) Stop propagating the learning styles myth. Computers & Education Vol. 106, 166–171

[16] Kosharna N, Zhuravlova L, Nieliepova A, Sidorova I, Lopatynska N (2020) Professional training of primary school teachers (experience of Great Britain, Sweden) Kosharna N, Zhuravlova L, Nieliepova A, Sidorova I, Lopatynska N (2020) Applied Linguistics Research Journal. № 4 (9), 159–173. DOI: 10.14744/alrj.2020.82712.

[17] Kosharna N, Ordynska I, Hlushkovetska N, Nehrych N, Lysenko T (2022). The application of communicative linguistics in studying foreign languages (an example of the English language). Revista de Tecnología de Información y Comunicación en Educación https://elibrary.kubg.edu.ua/id/eprint/43386

[18] Kosharna N, Petryk L (2022). Hyflex organization of foreign language teaching: specialties 013 "Primary education" and 012 "Preschool education" // Continuing professional education: theory and practice (Series: Pedagogical Sciences) 3 (72), 2 (3), 24-32. ISSN 1609-8595 https://doi.org/10.28925/1609-8595.2022.3.3

[19] Kryshtanovych M, Akimova L, Akimov O, Parkhomenko-Kutsevil O, Omarov A (2022) Features of creative burnout among educational workers in the public administration system. Creativity Studies 15(1), 116-129. doi:10.3846/cs.2022.15145

[20] Ladonko L, Mozhaikina N, Buryk Z, Ostrovskyi I, Saienko V (2023) Regional aspects of the economy modernization: the qualitative evidence from EU countries. International Journal for Quality Research, 2023, 16(3) 851–862

[21] Martin F, Markant D (2020) Adaptive learning modules. The SAGE encyclopedia of higher education. London: Sage, 2–4

[22] Nabizadeh AH, Gonqalves, SD, Gama et al.(2020) Adaptive learning path recommender approach using auxiliary learning objects. Computers and Education. Vol. 147. P. 1-17. DOI: https://doi.org/10.1016/jj.compedu.2019.103777

[23] Newman A, Stokes P, Bryant G (2013) Learning to adapt: A case for accelerating adaptive learning in higher education. Boston, MA: Education Growth Advisors, 18 p.

[24] Oxman S, Wong W (2014) White paper: Adaptive learning systems. Integrated Education Solutions

[25] Higgins S, Mackrill D, Sebba JC (2008) Robinson Personalizing Learning: the learner perspective and their influence on demand. Review Report 17

[26] Semenets-Orlova I, Klochko A, Tereshchuk O, Denisova L, Nestor V, & Sadovyi S (2022) Special aspects of educational managers’ administrative activity under conditions of distance learning. Journal of Curriculum and Teaching 11(1), 286-297 doi:10.5430/jct.v11n1p286

[27] Semenets-Orlova I, Shevchuk R, PlishB, Moshnin A, Chmyr Y, & Poliuliakh R (2022) The human-centered approach in new development tendencies of value-oriented public administration: Potential of education. Economic Affairs (New Delhi) 67(5), 899–906. doi:10.46852/0424-2513.5.2022.25

[28] Strayer JF (2012) How learning in an inverted classroom influences cooperation, innovation, and task orientation. Learning environments research Vol. 15, No. 2. 171–193.

[29] Udovychenko L, Kuzminets N, Stadnik O, Kosharna N, Petryk L (2021) The use of blended learning technology in training for students of pedagogical specialties. Revista on line de Política e Gestão Educacional 25 (3). P. 2258-2271. https://doi.org/10.22633/rpge.v25i3.15958

[30] Wang Y, Liao HCh. (2011) Adaptive learning for ESL based on computation. British Journal of Educational Technology Vol. 42, No. 1. 66–87. DOI: https://doi.org/10.1111/jj.1467-8535.2009.00981.x

Abstract

References

How to cite