Будь ласка, використовуйте цей ідентифікатор, щоб цитувати або посилатися на цей матеріал: http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/4440
Назва: Implementation of future agricultural engineers' training technology in the informational and educational environment
Автори: Uchitel, Aleksandr D.
Batsurovska, Ilona V.
Dotsenko, Nataliia A.
Gorbenko, Olena A.
Kim, Nataliia I.
Ключові слова: agricultural engineers’ training technology
informational and educational environment
Дата публікації: 10-чер-2021
Видавництво: CEUR Workshop Proceedings
Бібліографічний опис: Uchitel A. D. Implementation of future agricultural engineers' training technology in the informational and educational environment / Aleksandr D. Uchitel, Ilona V. Batsurovska, Nataliia A. Dotsenko, Olena A. Gorbenko, Nataliia I. Kim // CEUR Workshop Proceedings. - Vol. 2879. - P. 233-246.
Короткий огляд (реферат): The article presents the implementation of future agricultural engineers’ training technology in the informational and educational environment. To train future agricultural engineers, it is advisable to form tutorials for the study of each discipline in the conditions of informational and educational environment. Such tutorials are an assistance in mastering both theoretical material and course navigation, where interactive electronic learning tools are presented to perform tasks in the informational and educational environment. Higher education applicants perform such tasks directly in the classroom with the help of gadgets or personal computers. The final grade is formed from the scores obtained in the classroom and the rating of higher education applicants while studying in the informational and educational environment. The outlined approach is able to help in the quality of learning content. The use of interactive audiovisual online tools allows to get acquainted with the theoretical, practical and experimental provisions clearly, it is important for the training of future agricultural engineers. At the end of the experiment, it can be argued that the developed technology increases the level of motivation and self-incentive to work in the informational and educational environment. The application of the presented technology provides an opportunity to combine the educational process in the classroom with learning in the informational and educational environment, forms analytical abilities and competencies in professional activity. The reliability of the obtained results was checked using the λ Kolmogorov-Smirnov criterion. It is determined that when using this technology in the educational process, the indicators in the experimental group increased, which displays the effectiveness of training bachelors in agricultural engineering in the conditions of informational and educational environment.
Опис: [1] EnvironmentalScience.org, What is an Agricultural Engineer?, 2021. URL: https://www. environmentalscience.org/career/agricultural-engineer. [2] CollegeGrad LLC, Agricultural Engineers, 2021. URL: https://collegegrad.com/careers/ agricultural-engineers. [3] A.-E. Guerrero-Roldán, I. Noguera, A model for aligning assessment with competences and learning activities in online courses, The Internet and Higher Education 38 (2018) 36–46. doi:https://doi.org/10.1016/j.iheduc.2018.04.005. [4] H. Kravtsov, V. Kobets, Implementation of stakeholders’ requirements and innovations for ICT curriculum through relevant competences, volume 1844, CEUR-WS, 2017, pp. 414–427. 13th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer, ICTERI 2017 ; Conference Date: 15 May 2017 Through 18 May 2017. [5] H. Kravtsov, V. Kobets, Model of the curriculum revision system in computer science, volume 2104, CEUR-WS, 2018, pp. 488–500. 14th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops, ICTERI 2018 ; Conference Date: 14 May 2018 Through 17 May 2018. [6] C. McAvinia (Ed.), Online Learning and its Users, Chandos Publishing, 2016. [7] O. G. Romanovskyi, O. V. Kvasnyk, V. M. Moroz, N. V. Pidbutska, S. M. Reznik, A. I. Cherkashin, V. V. Shapolova, Development factors and directions for improving distance learning in the higher education system of ukraine, Information Technologies and Learning Tools 74 (2019) 20–42. URL: https://journal.iitta.gov.ua/index.php/itlt/article/view/3185. doi:10.33407/itlt.v74i6.3185. [8] C. Pappas, 7 best practices for developing personalized eLearning courses, 2016. URL: https: //elearningindustry.com/best-practices-developing-personalized-elearning-courses. [9] A. Pandey, 10 mobile learning trends for 2018, 2018. URL: https://www.eidesign.net/ 10-mobile-learning-trends-2018. [10] S. O. Semerikov, K. I. Slovak, Theory and method using mobile mathematical media in the process of mathematical education higher mathematics students of economic specialties, Information Technologies and Learning Tools 21 (2011). URL: https://journal.iitta.gov.ua/ index.php/itlt/article/view/413. doi:10.33407/itlt.v21i1.413. [11] M. A. Kyslova, S. O. Semerikov, K. I. Slovak, Development of mobile learning environment as a problem of the theory and methods of use of information and communication technologies in education, Information Technologies and Learning Tools 42 (2014) 1–19. URL: https://journal.iitta.gov.ua/index.php/itlt/article/view/1104. doi:10.33407/itlt.v42i4. 1104. [12] Y. Modlo, S. Semerikov, P. Nechypurenko, S. Bondarevskyi, O. Bondarevska, S. Tolmachev, The use of mobile Internet devices in the formation of ICT component of bachelors in electromechanics competency in modeling of technical objects, volume 2433, CEUR-WS, 2019, pp. 413–428. URL: http://ceur-ws.org/Vol-2433/paper28.pdf, 6th Workshop on Cloud Technologies in Education, CTE 2018 ; Conference Date: 21 December 2018. [13] K. Lee, Rethinking the accessibility of online higher education: A historical review, The Internet and Higher Education 33 (2017) 15–23. doi:https://doi.org/10.1016/ j.iheduc.2017.01.001. [14] A. Sandoval, C. Gonzalez, R. Alarcon, K. Pichara, M. Montenegro, Centralized student performance prediction in large courses based on low-cost variables in an institutional context, The Internet and Higher Education 37 (2018) 76–89. doi:https://doi.org/10. 1016/j.iheduc.2018.02.002. [15] R. Benson, C. Brack, Online Learning and Assessment in Higher education applicants: A Planning Guide, 1st ed., Chandos Publishing, 2010. [16] V. Buzko, A. Bonk, V. Tron, Implementation of gamification and elements of augmented reality during the binary lessons in a secondary school, volume 2257, CEUR-WS, 2018, pp. 53–60. 1st International Workshop on Augmented Reality in Education, AREdu 2018 ; Conference Date: 2 October 2018. [17] S. Symonenko, N. Zaitseva, V. Osadchyi, K. Osadcha, E. Shmeltser, Virtual reality in foreign language training at higher educational institutions, volume 2547, CEUR-WS, 2020, pp. 37–49. 2nd International Workshop on Augmented Reality in Education, AREdu 2019 ; Conference Date: 22 March 2019. [18] N. T. Tverezovska, D. Y. Kasatkin, Informational and educational learning environment: the history, classification and functions, Naukovi zapysky Ternopilskoho natsionalnoho pedahohichnoho universytetu imeni Volodymyra Hnatiuka. Seriia: Pedahohika (2011) 190–196. URL: http://dspace.tnpu.edu.ua/handle/123456789/407. [19] T. Vakaliuk, V. Kontsedailo, D. Antoniuk, O. Korotun, S. Semerikov, I. Mintii, Using Game Dev Tycoon to develop professional soft competencies for future engineers-programmers, volume 2732, CEUR-WS, 2020, pp. 808–822. URL: http://ceur-ws.org/Vol-2732/20200808.pdf, 16th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops, ICTERI 2020 ; Conference Date: 6 October 2020 Through 10 October 2020. [20] P. Nechypurenko, T. Starova, T. Selivanova, A. Tomilina, A. Uchitel, Use of augmented reality in chemistry education, volume 2257, CEUR-WS, 2018, pp. 15–23. 1st International Workshop on Augmented Reality in Education, AREdu 2018 ; Conference Date: 2 October 2018. [21] A. Kompaniets, H. Chemerys, I. Krasheninnik, Using 3D modelling in design training simulator with augmented reality, volume 2546, CEUR-WS, 2019, pp. 213–223. 2nd Student Workshop on Computer Science and Software Engineering, CS and SE@SW 2019 ; Conference Date: 29 November 2019. [22] A. Kiv, O. Merzlykin, Y. Modlo, P. Nechypurenko, I. Topolova, The overview of software for computer simulations in profile physics learning, volume 2433, CEUR-WS, 2019, pp. 352–362. 6th Workshop on Cloud Technologies in Education, CTE 2018 ; Conference Date: 21 December 2018. [23] A. Nicolopoulou, M. Cole, Design experimentation as a theoretical and empirical tool for developmental pedagogical research, Pedagogies: An International Journal 5 (2009) 61–71. URL: https://doi.org/10.1080/15544800903406316. doi:10.1080/15544800903406316. [24] G. D. Phye, D. H. Robinson, J. R. Levin (Eds.), Educational Psychology, Academic Press, Burlington, 2005. doi:https://doi.org/10.1016/B978-0-12-554257-9. X5000-1. [25] S. Li, A. Jain (Eds.), Fisher Criterion, Springer US, Boston, MA, 2009, pp. 549–549. URL: https: //doi.org/10.1007/978-0-387-73003-5_585. doi:10.1007/978-0-387-73003-5_585. [26] R. Simard, P. L’Ecuyer, Computing the two-sided kolmogorov-smirnov distribution, Journal of Statistical Software, Articles 39 (2011) 1–18. URL: https://www.jstatsoft.org/v039/i11. doi:10.18637/jss.v039.i11. [27] M. Nind, S. Lewthwaite, A conceptual-empirical typology of social science research methods pedagogy, Research Papers in Education 35 (2020) 467–487. URL: https://doi.org/ 10.1080/02671522.2019.1601756. doi:10.1080/02671522.2019.1601756. [28] Y. V. Ponomarenko, R. I. Kenzhebekova, A. A. Yessaliyev, K. Moldabek, L. A. Larchenkova, S. S. Dairbekov, G. Jumagulova, Pedagogical research methods of training in higher educational establishments: A comparative analysis, International Electronic Journal of Mathematics Education 11 (2016) 3221–3232. URL: https://tinyurl.com/2s5sbu4d. [29] C. Crook, L. Schofield, The video lecture, The Internet and Higher Education 34 (2017) 56–64. doi:https://doi.org/10.1016/j.iheduc.2017.05.003. [30] I. Galikyan, W. Admiraal, Students’ engagement in asynchronous online discussion: The relationship between cognitive presence, learner prominence, and academic performance, The Internet and Higher Education 43 (2019) 100692. doi:https://doi.org/10.1016/ j.iheduc.2019.100692. [31] D. Babenko, I. Batsurovska, N. Dotsenko, O. Gorbenko, I. Andriushchenko, N. Kim, Application of monitoring of the informational and educational environment in the engineering education system, in: 2019 IEEE International Conference on Modern Electrical and Energy Systems (MEES), 2019, pp. 442–445. doi:10.1109/MEES.2019.8896469. [32] V. V. Oliynik, O. M. Samoylenko, I. V. Batsurovs’ka, N. A. Dotsenko, Formation of future agricultural engineers professional competences in computer-oriented environment of higher education institutions, Information Technologies and Learning Tools 68 (2018) 140–154. URL: https://journal.iitta.gov.ua/index.php/itlt/article/view/2525. doi:10.33407/ itlt.v68i6.2525. [33] S. Voloshynov, H. Popova, A. Yurzhenko, E. Shmeltser, The use of digital escape room in educational electronic environment of maritime higher education institutions, volume 2643, CEUR-WS, 2020, pp. 347–359. 7th Workshop on Cloud Technologies in Education, CTE 2019 ; Conference Date: 20 December 2019. [34] T. Zhylenko, N. Martynova, I. Shuda, Y. Chykalov, D. Kuzmuk, Auto Checker of Higher Mathematics - an element of mobile cloud education, volume 2643, CEUR-WS, 2020, pp. 662–673. 7th Workshop on Cloud Technologies in Education, CTE 2019 ; Conference Date: 20 December 2019. [35] R. Tarasenko, S. Amelina, Y. Kazhan, O. Bondarenko, The use of ar elements in the study of foreign languages at the university, volume 2731, CEUR-WS, 2020, pp. 129–142. 3rd International Workshop on Augmented Reality in Education, AREdu 2020 ; Conference Date: 13 May 2020. [36] V. Tkachuk, Y. Yechkalo, S. Semerikov, M. Kislova, V. Khotskina, Exploring student uses of mobile technologies in university classrooms: Audience response systems and development of multimedia, volume 2732, CEUR-WS, 2020, pp. 1217–1232. URL: http: //ceur-ws.org/Vol-2732/20201217.pdf, 16th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops, ICTERI 2020 ; Conference Date: 6 October 2020 Through 10 October 2020. [37] V. Bykov, D. Mikulowski, O. Moravcik, S. Svetsky, M. Shyshkina, The use of the cloudbased open learning and research platform for collaboration in virtual teams, Information Technologies and Learning Tools 76 (2020) 304–320. URL: https://journal.iitta.gov.ua/index. php/itlt/article/view/3706. doi:10.33407/itlt.v76i2.3706. [38] A. Kolmogorov, Sulla determinazione empirica di una lgge di distribuzione, Giorn. Inst. Ital. Attuari 4 (1933) 83–91. [39] N. Smirnov, Table for estimating the goodness of fit of empirical distributions, The Annals of Mathematical Statistics 19 (1948) 279–281. URL: http://www.jstor.org/stable/2236278.
URI (Уніфікований ідентифікатор ресурсу): http://ceur-ws.org/Vol-2879/paper11.pdf
http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/4440
https://doi.org/10.31812/123456789/4440
ISSN: 1613-0073
Розташовується у зібраннях:Збірники наукових праць та матеріали конференцій

Файли цього матеріалу:
Файл Опис РозмірФормат 
paper11.pdfarticle1.99 MBAdobe PDFПереглянути/Відкрити


Усі матеріали в архіві електронних ресурсів захищені авторським правом, всі права збережені.