# General secondary education3’2021

Valentyna Gapon
https://orcid.org/0000-0001-7521-5450
Mariia Sharaievska
https://orcid.org/0000-0002-4647-2471
Tatiana Derepa
https://orcid.org/0000-0002-1283-7671

#### APPROACHES TO FORECASTING INDICATORS TO DETERMINE THE NEED FOR TEACHERS IN THE SYSTEM OF GENERAL SECONDARY EDUCATION

Full text (pdf)
Language: Ukrainian
Abstract. Considering the current stage of development of general secondary education, one of the most important issues is to provide qualified pedagogical staff to the general secondary education institutions (GSEIs). This research examines the framework for forecasting the indicators of the general secondary education system using demographic information and statistical reporting data at the national and regional levels by types of territory (urban settlements, rural areas). New approaches to the analysis of the information environment for forecasting the evolution of indicators have been implemented and the set tasks have been thoroughly researched. The logical sequence of the indicators was defined so the principles and methods of forecasting can be implemented. The framework for the created models and applied methods used for calculating the forecast values of indicators was substantiated, in particular the general school body, number of pupils of ninth grade who will continue attending tenth grade, number of pedagogical staff, teachers and teachers of retirement age still working. The calculations of the forecast school body for the period of 2020/2021–2024/2025 academic years allow identifying certain trends in migration and demographic processes occurring in the regions of Ukraine. Estimated forecast values for the period of 2020/2021–2024/2025 academic years for the number of pedagogical staff, teachers and teachers of retirement age still working allows us to assess the annual additional need for qualified personnel for the GSEIs. The usage of the obtained results will become an important background for the creation of multifactor models to simultaneously take into account the impact of several factors on the development of the forecast system and assess the prospects for its development in the future.
Keywords: general secondary education, forecasting, pedagogical staff, number of pupils, statistical indicators.
https://doi.org/10.32987/2617-8532-2021-3-70-87

References:
1. Herasymenko, S. S., Holovach, A. V., & Yerina, A. M. (2000). Statistics. Kyiv: KNEU [in Ukrainian].
2. Holovach, A. V. (2005). Statistical support of economic management: applied statistics. Kyiv: KNEU [in Ukrainian].
3. Kremen, V. (2010). Synergetic model of education development in response to today’s challenges. Ridna shkola, 6, 3–6. Retrieved from http://nbuv.gov.ua/ujrn/rsh_2010_6_3 [in Ukrainian].
4. Osaulenko, O. H. (2008). National statistical system: strategic planning, methodology and organization. Kyiv: DP «Inform.-analit. ahentstvo» [in Ukrainian].
5. Lokshyna, O. I. (Ed.). (2004). Monitoring the quality of education: global achievements and Ukrainian prospects. Kyiv: K.I.S. [in Ukrainian].
6. Lukina, T. O. (2006). Monitoring the quality of education: theory and practice. Kyiv: VD «Shkil. svit»: Vydavets L. Holitsyna [in Ukrainian].
7. Liashenko, O. (2011). Organizational and methodological support of monitoring studies of the quality of general secondary education. Kyiv: Pedahohichna dumka [in Ukrainian].
8. Parashchenko, L. (2009). Scientific substantiation of criteria and indicators for the national system of monitoring the quality of education. Naukove obgruntuvannia yakosti osvity, 12(3–4), 110–117 [in Ukrainian].
9. Puhachova, M. V. (2007). Methodological bases of statistical monitoring of business activity of enterprises. Kyiv: DP «Informatsiino.-analitychne ahentstvo» [in Ukrainian].
10. Heiets, V. M., Klebanova, T. S., & Cherniak, O. I. (2005). Models and methods of socio-economic forecasting. Kharkiv: VD «INZhEK» [in Ukrainian].
11. Hrabovetskyi, B. Ie. (2003). Economic forecasting and planning. Kyiv: TsUL [in Ukrainian].
12. Pashuta, M. T. (2005). Forecasting and programming of economic and social development. Kyiv: TsUL [in Ukrainian].
13. Ponomarenko, V. S. (2011). Forecasting the dynamics of quantitative indicators of the education system of Ukraine. Ekonomika rozvytku, 2, 5–10 [in Ukrainian].
14. Ponomarenko, V. S. (2009). Data analysis in the study of socio-economic systems. Kharkiv: VD «INZhEK» [in Ukrainian].
15. Hrynkevych, O. (2016). Forecasting the demand in the market of educational services in Ukraine (on the example of the volume of admission to universities in Ukraine). Ekonomichnyi chasopys Skhidnoievropeiskoho natsionalnoho universytetu imeni Lesi Ukrainky, 2, 83–89. Retrieved from http://nbuv.gov.ua/UJRN/echcenu_2016_2_17 [in Ukrainian].
16. SSI «Institute of Educational Analytics». (2021). Dynamics of the number of teachers who teach certain subjects for the 2014/2015–2019/2020 academic years. Retrieved from https://iea.gov.ua/wp-content/uploads/2021/03/RVK_II_rozdil_1_grafa.pdf [in Ukrainian].
17. SSI «Institute of Educational Analytics». (2021). Dynamics of the number of teachers who teach certain subjects for the 2015/2016–2020/2021 academic years. Retrieved from https://iea.gov.ua/wp-content/uploads/2021/05/06_05-83-RVK_II_rozdil_1_grafa.pdf [in Ukrainian].
18. SSI «Institute of Educational Analytics». (2021). Dynamics of personnel of pedagogical workers in full-time institutions of general secondary education for 2014/2015–2019/2020 academic years. Retrieved from https://iea.gov.ua/wp-content/uploads/2021/03/83-RVK_I_rozdil_1_grafa.pdf [in Ukrainian].
19. SSI «Institute of Educational Analytics». (2021). Dynamics of personnel of pedagogical workers in full-time institutions of general secondary education for 2015/2016–2020/2021 academic years. Retrieved from https://iea.gov.ua/wp-content/uploads/2021/04/83-RVK_I_rozdil_1_grafa_z-2020_2021.pdf [in Ukrainian].