Development of comprehensive decision support tools in distance learning quality management processes
DOI:
https://doi.org/10.15587/1729-4061.2022.263285Keywords:
quality assurance, expert assessment, distance learning, criteria model, method of expert assessments, method of analysis of hierarchies, combination of methodsAbstract
The object of this study is the quality of distance learning. The need for procedures to assess the quality of this form of education was manifested most clearly in connection with the COVID-19 pandemic, wars, and other global problems, which predetermine the relevance of the study.
The study considers the construction of a decision support model for assessing the quality of distance learning. Underlying the method is a combination of the method of expert assessments and the criterion model of data analysis, the basic method for analyzing the data obtained is the method of hierarchy analysis.
Structural and functional schemes of the quality management system for distance learning are proposed. During the study, 10 criteria and 52 indicators were selected, and the weight of each indicator was calculated. Based on the weight values obtained, a scheme of the criteria model of decision support was built to assess the quality of distance learning.
During the expert evaluation of the criteria and indicators, it was determined that the weight of indicators within the criterion ranges from 0.09953 to 0.34262. Such a difference in weight values indicates the optimality of the set of indicators within the criterion.
Due to the combination of a criteria-based approach to data analysis in combination with the method of expert assessments, the model can be easily adapted for a point assessment of individual components and finding problem areas in the implementation of distance learning and management decision-making.
The results of the study reported here may be of interest to both heads of educational institutions and employees of services involved in processing information about the organization and reporting for strategic decision-making.
References
- Uvalic-Trumbic, S., Martin, M. A. (2021). A New Generation of External Quality Assurance: Dynamics of change and innovative approaches. New trends in higher education. Paris: UNESCO, International Institute for Educational Planning, 112. Available at: https://unesdoc.unesco.org/ark:/48223/pf0000377497/PDF/377497eng.pdf.multi
- Martin, M., Parikh, S. (2017). Quality management in higher education: developments and drivers: results from an international survey. Paris: UNESCO, International Institute for Educational Planning, 99. Available at: https://unesdoc.unesco.org/ark:/48223/pf0000260226/PDF/260226eng.pdf.multi
- Kolyeva, N., Kopnova, O., Shaporeva, A. (2021). Adaptation Information and analytical system adaptation in the contour of the corporate system of the university. E3S Web of Conferences, 270, 01037. doi: https://doi.org/10.1051/e3sconf/202127001037
- Noaman, A. Y., Ragab, A. H. M., Madbouly, A. I., Khedra, A. M., Fayoumi, A. G. (2017). Higher education quality assessment model: towards achieving educational quality standard. Studies in Higher Education, 42 (1), 23–46. doi: https://doi.org/10.1080/03075079.2015.1034262
- Ortega Naranjo, W. F., Caisa Yucailla, E. D. (2021). Indicadores de calidad: educación superior-Quito. UNIANDES Episteme, 8 (4), 522–536. Available at: http://45.238.216.13/ojs/index.php/EPISTEME/article/view/2344/1848
- Fesenko, T., Ruban, I., Karpenko, K., Fesenko, G., Kovalenko, A., Yakunin, A., Fesenko, H. (2022). Improving of the decision-making model in the processes of external quality assurance of higher education. Eastern-European Journal of Enterprise Technologies, 1 (3 (115)), 74–85. doi: https://doi.org/10.15587/1729-4061.2022.253351
- Aitymova, A., Shaporeva, A., Kopnova, O., Kushumbayev, A., Aitymov, Z. (2022). Development and modeling of combined components of the information environment. Eastern-European Journal of Enterprise Technologies, 2 (2 (116)), 51–60. doi: https://doi.org/10.15587/1729-4061.2022.255084
- Misut, M., Pribilova, K. (2015). Measuring of Quality in the Context of e-learning. Procedia - Social and Behavioral Sciences, 177, 312–319. doi: https://doi.org/10.1016/j.sbspro.2015.02.347
- Ransom, T., Knepler, E., Zapata-Gietl, C. (2018). New Approaches to Judging Quality in Higher Education. Profiles of Emerging Methods. Apart From Traditional Accreditation. Washington: Council for Higher Education Accreditation, 32. Available at: https://files.eric.ed.gov/fulltext/ED588479.pdf
- European, Ukrainian and Kazakh policies, strategies and practices of quality assurance in higher education in the context of WP2.1 (2021). Available at: http://web.elth.ucv.ro/eduqas/wp-content/uploads/sites/2/2021/07/R1.-Case-study.pdf
- Ossiannilsson, E., Williams, K., Camilleri, A. F., Brown, M. (2015). Quality models in online and open education around the globe. State of the art and recommendations. Oslo: International Council for Open and Distance Education, 52. doi: https://doi.org/10.25656/01:10879
- Vinogradova, I., Kliukas, R. (2015). Methodology for evaluating the quality of distance learning courses in consecutive stages. Procedia - Social and Behavioral Sciences, 191, 1583–1589. doi: https://doi.org/10.1016/j.sbspro.2015.04.364
- Bekesiene, S., Vasiliauskas, A. V., Hošková-Mayerová, Š., Vasilienė-Vasiliauskienė, V. (2021). Comprehensive Assessment of Distance Learning Modules by Fuzzy AHP-TOPSIS Method. Mathematics, 9 (4), 409. doi: https://doi.org/10.3390/math9040409
- Saaty, R. W. (1987). The analytic hierarchy process – What it is and how it is used. Mathematical Modelling, 9 (3-5), 161–176. doi: https://doi.org/10.1016/0270-0255(87)90473-8
- Bolton, D. L., Smidt, E., Li, R. (2019). Assessing the quality of distance education at a university. Ensuring quality and integrity in online learning programs, 149–177. doi: https://doi.org/10.4018/978-1-5225-7844-4.ch006
- Naveed, Q. N., Qureshi, M. R. N., Tairan, N., Mohammad, A., Shaikh, A., Alsayed, A. O. et. al. (2020). Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making. PLOS ONE, 15 (5), e0231465. doi: https://doi.org/10.1371/journal.pone.0231465
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Copyright (c) 2022 Anna Shaporeva, Oxana Kopnova, Irina Shmigirilova, Yevgeniya Kukharenko, Aliya Aitymova
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