REGISTRATION CERTIFICATE
KV #19905-9705 PR dated 02.04.2013.
FOUNDERS
RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE)
According to the decision No. 802 of the National Council of Television and Radio Broadcasting of Ukraine dated 14.03.2024, is registered as a subject in the field of print media. ID R30-03156
PUBLISHER
Liburkina L. M.
SITE SECTIONS
Main page
Editorial staff
Editorial policy
Annotated catalogue (2011)
Annotated catalogue (2012)
Annotated catalogue (2013)
Annotated catalogue (2014)
Annotated catalogue (2015)
Annotated catalogue (2016)
Annotated catalogue (2017)
Annotated catalogue (2018)
Annotated catalogue (2019)
Annotated catalogue (2020)
Annotated catalogue (2021)
Annotated catalogue (2022)
Annotated catalogue (2023)
Annotated catalogue (2024)
Thematic sections of the journal
Proceedings of scientific conferences
|
The Complex of Quality Management Models for Online Educational Courses Yatsenko R. M., Yakovliev A. A.
Yatsenko, Roman M., and Yakovliev, Anton A. (2024) “The Complex of Quality Management Models for Online Educational Courses.” Business Inform 9:225–233. https://doi.org/10.32983/2222-4459-2024-9-225-233
Section: Education and Science
Article is written in EnglishDownloads/views: 0 | Download article (pdf) - |
UDC 005.6:374
Abstract: Due to the COVID-19 pandemic spread over the world and military operations in Ukraine, the issue of the importance of quality control of online courses has moved from the category of «moderately necessary» to the category of «necessary here and now». Online learning is a very large topic that just cannot be covered by one single paper or study, considering the nature of educational services, their stretching in time and huge variability, combined with the factor of the unique approach of individual teachers to the presentation of the material. Hence, the study designates online courses as one of the measurable entities of online learning, both in terms of statistical information that can be collected from the electronic implementation of online courses on the relevant platform, and owing to the short life cycle of a single online course, allowing for more feedback and the impact adjusted in order to improve. The study presents a complex of mathematical models that provides both a numerical characteristic of the quality of an online course and an algorithm for choosing options for improving the quality of the course, which will reduce the labor intensity of developing and maintaining online courses and increase their attractiveness both in the commercial environment and in the environment of non-profit education. Should commercial use be the case, the proposed set of models can be based on indicators that are important for maximizing profits and minimizing costs, pushing technical quality indicators aside, or vice versa: it would be more necessary to assess quality at all possible levels for courses that are not aimed at direct profit. Thus, the proposed complex of models can become a tool that will help improve the quality of online courses, based on objective indicators; allocate the most ineffective courses; adjust the attention of course developers depending on the purpose when creating a course.
Keywords: online courses, quality of online courses, online learning, mathematical models, complex of quality management models.
Fig.: 1. Bibl.: 14.
Yatsenko Roman M. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Economic Cybernetics and System Analysis, Simon Kuznets Kharkiv National University of Economics (9a Nauky Ave., Kharkiv, 61166, Ukraine) Email: [email protected] Yakovliev Anton A. – Postgraduate Student, Department of Economic Cybernetics and Systems Analysis, Simon Kuznets Kharkiv National University of Economics (9a Nauky Ave., Kharkiv, 61166, Ukraine) Email: [email protected]
List of references in article
Pickard, L., Ma, R., and Mendez, M. C. “Massive List of MOOC Platforms Around the World in 2024“. The Report. April 29, 2024. https://www.classcentral.com/report/mooc-platforms/
“Global E-Learning Market to Reach $457.8 Billion by 2026“. GlobeNewswire. July 13, 07.2021. https://www.globenewswire.com/news-release/2021/07/13/2262081/0/en/Global-E-Learning-Market-to-Reach-457-8-Billion-by-2026.html
Dojchinovska, A. “21 Exciting Elearning Statistics [Lessons for 2024]“. Mark in Style. October 11, 2021. https://markinstyle.co.uk/elearning-statistics/
Peck, D. “Online Learning Statistics: The Ultimate List in 2024“. https://www.devlinpeck.com/content/online-learning-statistics
Davis, J. F., Sauber, M. H., and Edwards, E. A. “Managing quality in online education: a conceptual model for program development and improvement“. International Journal of Management in Education, art. 93, vol. 5, no. 1 (2011). DOI: https://doi.org/10.1504/ijmie.2011.037757
Puiu, S. et al. “Online Education Management: A Multivariate Analysis of Students' Perspectives and Challenges during Online Classes“. Electronics, art. 454, vol. 12, no. 2 (2023). DOI: https://doi.org/10.3390/electronics12020454
Watermeyer, R. et al. “COVID-19 and digital disruption in UK universities: afflictions and affordances of emergency online migration“. Higher Education, vol. 81 (2021): 623-641. DOI: https://doi.org/10.1007/s10734-020-00561-y
Firmansyah, R. et al. “The University Students' Perspectives on the Advantages and Disadvantages of Online Learning Due to COVID-19“. Proceedings of 2nd Annual Management, Business and Economic Conference (AMBEC 2020). Atlantis Press, 2021. DOI: https://doi.org/10.2991/aebmr.k.210717.025
[Legal Act of Ukraine] (2023). https://zakon.rada.gov.ua/laws/show/651-2023п#Text
Gorban, A. N., and Zinovyev, A. Y. “Principal Graphs and Manifolds. Ch. 2“. In Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques, 28-59. Hershey, PA, USA: IGI Global, 2009. DOI: 10.4018/978-1-60566-766-9.ch002
Lance, G. N., and Willams, W. T. “A General Theory of Classification Sorting Strategies. 1. Hierarchical Systems“. The Computer Journal, vol. 9, no. 4 (1967): 373-380. DOI: https://doi.org/10.1093/comjnl/9.4.373
Murthy, S. K. “Automatic Construction of Decision Trees from Data: A Multidisciplinary Survey“. Data Mining and Knowledge Discovery, vol. 2 (1998): 345-389. DOI: https://doi.org/10.1023/A:1009744630224
Notermans, M. “How to Measure Online Course Performance?“ Think Orion. September 11, 2024. https://www.thinkorion.com/blog/measure-online-course-performance
Schwarze, K. “5 Ways to Show the ROI of a Learning and Development Program“. 2023. https://blog.udemy.com/roi-learning-business-outcomes-examples/
|
FOR AUTHORS
License Contract
Conditions of Publication
Article Requirements
Regulations on Peer-Reviewing
Publication Contract
Current Issue
Frequently asked questions
INFORMATION
The Plan of Scientific Conferences
OUR PARTNERS
Journal «The Problems of Economy»
|