Modeling of an internal educational resource certification system
DOI:
https://doi.org/10.31812/educdim.4487Keywords:
internal certification system, e-learning courses, ELC, educational resourcesAbstract
The paper examines the results of a multi-year study to develop an internal certification system for blended and e-learning educational resources in higher education. The authors outline the requirements for internal certification system modeling as well as the characteristics of recent developments in the process of internal certification of educational resources, as permitted by university rules, which is related to the COVID-19 standards. The current model of the internal certification system for educational materials is described in this article, which is based on the approval of the pilot model of e-learning courses (hence — ELC) certification. Three mandatory expertise are the key components of the internal certification method (professional, resource and technical). The methodological commission decides on the quality of the ENC's educational resources and certification based on the findings. The benefits of using the current system of internal certification of ELC implementation are numerous, including the creation of high-quality educational resources, expanding access to educational content to various categories of participants in the educational process, ensuring individualization of the educational process based on the needs, characteristics, and capabilities of learners, and improving the quality of the educational process.
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Regulations on the procedure for creating e-learning courses, their certification and use in the e-learning system of Borys Grinchenko Kyiv University (2020), https://kubg.edu.ua/images/stories/Departaments/vdd/documenty/rozdil_7/nakaz_674_29.10.20.pdf
Abdel-Haq, M.S., Asfoura, E.: Proposed V-E-learning Model: Applying V-Model to Ensure theQuality of E-Learning System Implementationat Higher Education Institutions (The Case of Dar Al Uloom University - COVID-19 Pandemic Effect). Turkish Journal of Computer and Mathematics Education 12(6), 1492–1507 (2021). https://doi.org/10.17762/turcomat.v12i6.2688 DOI: https://doi.org/10.17762/turcomat.v12i6.2688
Al-Hunaiyyan, A., Alhajri, R., Bimba, A.: Towards an Efficient Integrated Distance and Blended Learning Model: How to Minimize the Impact of COVID-19 on Education. International Journal of Interactive Mobile Technologies 15(10), 173–193 (2021). https://doi.org/10.3991/ijim.v15i10.21331 DOI: https://doi.org/10.3991/ijim.v15i10.21331
Buinytska, O.: E-education content management. In: Smyrnova-Trybulska, E. (ed.) E-learning Methodology – Implementation and Evaluation, E-learning, vol. 8, pp. 451–467. Studio NOA for University of Silesia in Katowice, Katowice, Cieszyn (2016)
Buinytska, O., Vasylenko, S.: Using e-courses to enhance the future teachers’ digital competence. Open educational e-environment of modern university Special edition, 44–62 (2019). https://doi.org/10.28925/2414-0325.2019s5 DOI: https://doi.org/10.28925/2414-0325.2019s5
Buinytska, O., Vasylenko, S.: E-learning to ensure the educational services’ quality in university distance learning. In: Smyrnova-Trybulska, E. (ed.) Innovative Educational Technologies, Tools and Methods for E-learning, E-learning, vol. 12, pp. 88–100. Studio NOA for University of Silesia in Katowice, Katowice, Cieszyn (2020)
Hrynevych, L., Ilich, L., Morze, N., Protsenko, O., Proshkin, V., Shemelynets, I., Lynov, K., Rii, H.: Organization of the educational process in Ukrainian schools under quarantine: an analytical note. Borys Grinchenko Kyiv University, Kyiv (2020), https://www.irf.ua/wp-content/uploads/2020/09/organizacziya-osvitnogo-proczesu-v-shkolah-ukrayiny-v-umovah-karantynu-2020.pdf
Hrynevych, L., Morze, N., Boiko, M.: Scientific education as the basis for innovative competence formation in the conditions of digital transformation of the society. Information Technologies and Learning Tools 77(3), 1–26 (2020). https://doi.org/10.33407/itlt.v77i3.3980 DOI: https://doi.org/10.33407/itlt.v77i3.3980
Kaewsaiha, P., Chanchalor, S.: Factors affecting the usage of learning management systems in higher education. Education and Information Technologies 26, 2919–2939 (2021). https://doi.org/10.1007/s10639-020-10374-2 DOI: https://doi.org/10.1007/s10639-020-10374-2
Leshchenko, M., Hrynko, V., Kosheliev, O.: Methods of designing digital learning technologies for developing primary school pre-service teachers’ 21st century skills. CEUR Workshop Proceedings 2732, 1028–1043 (2020)
Mintii, I.S., Bondarenko, O.V., Shokaliuk, S.V., Polhun, K.V., Mintii, M.M.: Аnalysis of the use of LCMS Moodle in the educational process of KrSPU. Educational Dimension 55(3), 368–383 (Dec 2020). https://doi.org/10.31812/educdim.v55i0.4366, https://journal.kdpu.edu.ua/ped/article/view/4366 DOI: https://doi.org/10.31812/educdim.v55i0.4366
Morze, N., Buinytska, O., Varchenko-Trotsenko, L.: Creating a modern e-learning course in the MOODLE system. Kamenets-Podolsky (2016)
Morze, N., Vasylenko, S., Hladun, M.: Ways to improve the motivation of university teachers to develop their digital competence. Open educational e-environment of modern University 5, 160–177 (12 2018). https://doi.org/10.28925/2414-0325.2018.5.160177 DOI: https://doi.org/10.28925/2414-0325.2018.5.160177
Ogneviuk, V., Morze, N., Buinytska, O., Varchenko-Trotsenko, L.: I am in the digital environment of the university, chap. 5, pp. 117–174. I am a student, Borys Grinchenko Kyiv University, Kyiv, 9th. edn. (2020)
Pinchuk, N., Pinchuk, O., Bondarchuk, O., Balakhtar, V., Balakhtar, K., Onopriienko-Kapustina, N., Shyshkina, M., Kuzminska, O.: Personal indicators of occupational stress of employees working remotely in a pandemic quarantine. Educational Technology Quarterly (Feb 2022). https://doi.org/10.55056/etq.8, https://acnsci.org/journal/index.php/etq/article/view/8 DOI: https://doi.org/10.55056/etq.8
Sultan, R.A., Alqallaf, A.K., Alzarooni, S.A., Alrahma, N.H., AlAli, M.A., Alshurideh, M.T.: How students influence faculty satisfaction with online courses and do the age of faculty matter. In: Hassanien, A.E., Haqiq, A., Tonellato, P.J., Bellatreche, L., Goundar, S., Azar, A.T., Sabir, E., Bouzidi, D. (eds.) Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021). vol. 1377, pp. 823–837. Springer International Publishing, Cham (2021). https://doi.org/10.1007/978-3-030-76346-6_72 DOI: https://doi.org/10.1007/978-3-030-76346-6_72

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Copyright (c) 2022 Oksana P. Buinytska, Svitlana V. Vasylenko

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Accepted 2022-02-06
Published 2022-06-14