Effective strategies to manage the teacher intellectual work productivity in distance learning

Authors

  • Natalia Kharadze Ivane Javakhishvili Tbilisi State University
  • Maia Giorgobiani Ivane Javakhishvili Tbilisi State University
  • Tina Melkoshvili Ivane Javakhishvili Tbilisi State University
  • Lia Dzebisauri Ivane Javakhishvili Tbilisi State University
  • Dea Pirtskhalaishvili Ivane Javakhishvili Tbilisi State University

DOI:

https://doi.org/10.15549/jeecar.v8i4.840

Keywords:

Georgia, university, intellectual work, productivity, management, strategy, distance learning

Abstract

The article aims to empirically determine the effective strategies to manage intellectual work (IW) productivity (IWP) in distance learning (DL), for example, university teachers in Georgia. Based on the expert assessment methods, determining indicators for assessing the level of Teacher Intellectual Work Productivity (TIWP) of three large universities in Georgia and its current level was analyzed using the method of integral assessment.  Using the ANOVA method, determined the main factors influencing the TIWP at DL. We use the decision tree to systematize the factors of influence to TIWP and substantiate effective management strategies, taking into account teachers' qualifications, age category, and competencies to ensure the continuity and quality of DL. The results allow flexibility in managing the TIWP in the DL conditions and determining the most effective management strategies, taking into account the characteristics of teachers and the current level of development of the TIWP.

References

Bohrer, A. (2008). One-sided and Two-sided Critical Values for Dixon’s Outlier Test for Sample Sizes up to n = 30. Economic Quality Control, 23, 1, 5-13. DOI: https://doi.org/10.1515/EQC.2008.5

Budiarti, I. (2017). Knowledge Management and Intellectual Capital - A Theoretical Perspective of Human Resource Strategies and Practices. European Journal of Economics and Business Studies, 8, 1, 148-155. DOI: https://doi.org/10.26417/ejes.v8i1.p148-155

Endovitsky, D.A., Lyubushin, N.P., Babicheva, N.E., & Zotova, E. (2019). Assessment of the Balance of Economic Entities’ Activity at Different Life Cycle Stages. Montenegrin Journal of Economics, 15, 2, 71-79.

Garda World. (2020). Georgia: Authorities introduce further COVID-19 restrictions November 3. https://www.garda.com/crisis24/news-alerts/396076/georgia-authorities-introduce-further-covid-19-restrictions-november-3-update-19

Goldhaber, D., & Startz, R. (2017). On the Distribution of Worker Productivity: The Case of Teacher Effectiveness and Student Achievement. Statistics and Public Policy, 4(1), 1-12. https://doi.org/10.1080/2330443X.2016.1271733 DOI: https://doi.org/10.1080/2330443X.2016.1271733

Google Forms. (2021). Factors Influencing the Productivity of Teacher's Intellectual Work in Distance Learning. https://docs.google.com/forms/d/e/1FAIpQLSdXu_9pUj-d2uhFV_QSOoI_V8rhC0W-cud4syFUMSzyOSlMjw/viewform

Guliyeva, S., Sadigov, Y., Guliyeva, N., Isayeva, L., & Aliyeva, S. (2021). Person-centered approach effectiveness in Human Resource Management in the agriculture of Azerbaijan. Journal of Eastern European and Central Asian Research (JEECAR), 8(2), 267-279. https://doi.org/10.15549/jeecar.v8i2.713 DOI: https://doi.org/10.15549/jeecar.v8i2.713

Hanushek, E.A., & Ettema, E. (2017). Defining Productivity in Education: Issues and Illustrations. The American Economist, 62(2), 165-183. https://doi.org/10.1177/0569434516688207 DOI: https://doi.org/10.1177/0569434516688207

Husch Blackwell. (2021). Georgia: State-by-State COVID-19 Guidance. https://www.huschblackwell.com/georgia-state-by-state-covid-19-guidance

Maghlaperidze, E., Kharadze, N., & Kuspliak, H. (2021). Development of Remote Jobs as a Factor to Increase Labor Efficiency. Journal of Eastern European and Central Asian Research (JEECAR), 8(3), 337-348. https://doi.org/10.15549/jeecar.v8i3.669 DOI: https://doi.org/10.15549/jeecar.v8i3.669

National Statistics Office of Georgia. (2021). https://www.geostat.ge/en

OECD. (2019a). The education system in Georgia. https://www.oecd-ilibrary.org/sites/bbc437ae-en/index.html?itemId=/content/component/bbc437ae-en

OECD. (2019b). TALIS 2018 Results (Volume I): Teachers and School Leaders as Lifelong Learners. Paris: TALIS, OECD Publishing. https://doi.org/10.1787/23129638 DOI: https://doi.org/10.1787/23129638

Örnek, A. ?., & Ayas, S. (2015). The Relationship between Intellectual Capital, Innovative Work Behavior and Business Performance Reflection. Procedia - Social and Behavioral Sciences, 195, 1387-1395. https://doi.org/10.1016/j.sbspro.2015.06.433 DOI: https://doi.org/10.1016/j.sbspro.2015.06.433

Our World in Data. (2021). Coronavirus (COVID-19) Cases. https://ourworldindata.org/covid-cases#global-comparison-where-are-confirmed-cases-increasing-most-rapidly

Owens, S. (2021). State of Education Funding (2021). Georgia Budget & Policy Institute https://gbpi.org/state-education-2021/

Pirtskhalaishvili, D., Paresashvili, N., & Kulinich, T. (2021). The gender aspects of career development and leadership in organizations. Journal of Eastern European and Central Asian Research (JEECAR), 8(2), 255-266. https://doi.org/10.15549/jeecar.v8i2.654 DOI: https://doi.org/10.15549/jeecar.v8i2.654

Strielkowski, W., Volchik, V., Maskaev, A., & Savko, P. (2020). Leadership and Effective Institutional Economics Design in the Context of Education Reforms. Economies, 8(2), 27. https://doi.org/10.3390/economies8020027 DOI: https://doi.org/10.3390/economies8020027

Suliman, A., & Mansor, A. (2018). The relationship between professional competence and productivity impacts teachers' job satisfaction at Junior High School Rawajitu Timur Lampung. International Journal of Engineering and Technology, 7, 453 - 457. DOI: https://doi.org/10.14419/ijet.v7i3.30.18358

Taherdoost, H. (2017). Determining Sample Size; How to Calculate Survey Sample Size. International Journal of Economics and Management Systems, 2, 237-239.

Trading Economics. (2021). Georgia - GINI Index. https://tradingeconomics.com/georgia/gini-index-wb-data.html

Tsymbalenko, N.V., Tarasenko, I.O., & Bielialov, T.E. (2019). The impact of demographic processes on forming student body in Ukraine. Revista Espacios, 40(12), 8. https://www.revistaespacios.com/a19v40n12/a19v40n12p08.pdf

UNESCO-UIS. (2021). http://data.uis.unesco.org/Index.aspx

Utama, I., Sagala, S., & Sitompul, H. (2017). The Effect of Lecturer Competence on Work Productivity of Private Higher Education Lecturer in Aceh. Advances in Social Science, Education and Humanities Research, 104, 94-98. DOI: https://doi.org/10.2991/aisteel-17.2017.21

Vasiljeva, M., Neskorodieva, I., Ponkratov, V., Kuznetsov, N., Ivlev, V., Ivleva, M., Maramygin, M., & Zekiy, A. A. (2020). Predictive Model for Assessing the Impact of the COVID-19 Pandemic on the Economies of Some Eastern European Countries. J. Open Innov. Technol. Mark. Complex., 6, 92. https://doi.org/10.3390/joitmc6030092 DOI: https://doi.org/10.3390/joitmc6030092

Published

2021-12-15

How to Cite

Kharadze, N., Giorgobiani, M., Melkoshvili, T., Dzebisauri, L., & Pirtskhalaishvili, D. (2021). Effective strategies to manage the teacher intellectual work productivity in distance learning. Journal of Eastern European and Central Asian Research (JEECAR), 8(4), 653–665. https://doi.org/10.15549/jeecar.v8i4.840