Using data mining to create innovations in education

Chala, Nina
Voropai, Olga
Pichyk, Kateryna

Chala, N., Voropai, O. & Pichyk, K. (2021) Using data mining to create innovations in education. Sotsialno-ekonomichni problemy i derzhava [Socio-Economic Problems and the State] (electronic journal), Vol. 25, no. 2, pp. 21-28. Available at: http://sepd.tntu.edu.ua/images/stories/pdf/2021/21cndiie.pdf

Scientific Journal "Socio-Economic Problems and the State"

2(25)

Nov-2021

Oct-2021

12-Jul-2022

Ternopil Ivan Puluj National Technical University

UA

Ternopil

http://orcid.org/0000-0002-0356-9003
http://orcid.org/0000-0001-5257-7619
http://orcid.org/0000-0003-1161-270X

https://doi.org/10.33108/sepd2022.02.021

004.8:378

С10
С13
С89
I20
I29

Data Mining technology
social networks
clusters
educational institutions
educational services
innovations in education

8

21-28

21

28

The article substantiates the need for educational institutions to use Data Mining technology as a key to successful management decisions in modern realities. The study focuses on working with social media data. The authors emphasized the lack of attention to this issue among both foreign and Ukrainian scientists. The article outlines the algorithm for collecting and transmitting primary data obtained as a result of monitoring the activity of educational institutions in social networks to form models of various types of their actions. The model presented by the authors includes four stages. Stages one and two provide the list of factors / metrics that can be included in the model. These factors require an appropriate and high-quality data collection process. At the next stage, the authors propose data clustering as the most important process for the future use of social network data. It is emphasized that the formation of clusters will depend on the tasks facing the management teams of the educational market. The authors give several examples of such clustering but point out that the list is not exhaustive and can be significantly expanded. An important aspect of the availability of such databases is access to information not only for teachers, but also for all interested university staff. At the same time, each user (students, teachers, staff, administration) will receive data relevant to their requests and needs. The developed methodology will help increase the efficiency of management decision-making and implementation and provide an opportunity to justify the parameters of successful innovation in educational institutions in many respects, including the development of educational programs, implementation of new certification programs and disciplines, other services, etc.

http://elartu.tntu.edu.ua/handle/lib/38467

2223-3822

http://sepd.tntu.edu.ua/images/stories/pdf/2021/21cndiie.pdf
https://doi.org/10.1145/3299815.3314441
https://doi.org/10.1080/08841241.2015.1083512
https://www.mckinsey.com/industries/public-and-social-sector/our-insights/how-higher-education-institutions-can-transform-themselves-using-advanced-analytics?cid=app
https://doi.org/10.1016/j.jbusres.2016.02.010
https://www.mckinsey.com/business-functions/strategy-and-corporate-finance/our-insights/the-strategy-analytics-revolution?cid=other-eml-alt-mip-mck&hdpid=d040c36b-ab38-4318-8f3e-e01884025bba&hctky=3072032&hlkid=3a7d50730d574ff0bbf82bf62bb74d3d
https://www.researchgate.net/publication/220876232_The_Effect_of_Post_

Type_Category_and_Posting_Day_on_User_Interaction_Level_on_Facebook
https://doi.org/10.1007/s10639-016-9501-1
https://doi.org/10.1080/09523987.2017.1324363

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Article

Scientific Journal "Socio-Economic Problems and the State", Vol.25, No.2