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DIAGNOSTIC TOOLS FOR ASSESSING THE QUALITY OF VOCATIONAL TRAINING FOR SPECIALISTS IN ECONOMIC COLLEGES

Abstract

Relevance assessing the quality of vocational training for specialists in economic colleges requires the development of effective diagnostic tools.

Aim: to substantiate the necessity of developing effective diagnostic tools that will contribute to improving the quality of education and ensure the training of highly qualified specialists capable of meeting the demands of the modern labor market.

Methods: this study applies a comprehensive approach encompassing literature analysis, empirical research, expert evaluation, modeling, and comparative analysis. These methods are employed to develop diagnostic tools for assessing the quality of vocational training for specialists in economic colleges.

Results: a model of the methodological system for assessing the quality of vocational training for specialists in economic colleges is presented. This model features a clear structure, including target, content, instrumental, organizational-methodological, diagnostic, and results-reflective blocks. The main functions of this quality assessment model are defined, and the specific characteristics of the methodological system for assessing the quality of vocational training for specialists in economic colleges are explored.

Conclusions: the developed methodological system is a comprehensive organizational and technological construct rooted in a hierarchical combination of interconnected components. These components include goals, objectives, educational content, stages, methods, forms, diagnostic tools, criteria, indicators, and assessment results. The successful implementation of this methodological system is achieved through the effective utilization of technologies for assessing the quality of specialist training in colleges.

Keywords

diagnostic tools; quality assessment; vocational training; economic colleges; competencies; methodological system

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Author Biography

Dmytro Nahlyi

PhD Student of the Institute of Vocational Education of the National Academy of Educational Sciences of Ukraine, Kyiv, http://orcid.org/0009-0004-1456-316X, e-mail: dimadimanaglui@ukr.net


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Переклад і транслітерація

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Baartman, L. K. J. (2008). Assessing the assessment: Development and use of quality criteria for Competence Assessment Programmes. Dissertation for obtaining the degree of doctor at Utrecht University under the authority of the rector magnificus, prof. Dr. J.C. Stew. Supported by the Netherlands Organisation for Scientific Research (project no. PROO 411‐02‐363), [in English].

Broadfoot, P., Daugherty, R., Gardner, J., Harlen, W., James, M., & Stobart, G. (2002). Assessment for learning: 10 principles. Research-based principles to guide classroom practice. Assessment Reform Group, [in English].

Darling-Hammond, L., & Wentworth, L. (2010). Benchmarking Learning Systems: Student Performance Assessment in International Context. Stanford, CA: Stanford University, Stanford Center for Opportunity Policy in Education, [in English].

Double, K. S., McGrane, J. A., & Hopfenbeck, T. N. (2020). The impact of peer assessment on academic performance: A meta-analysis of control group studies. Educational Psychology Review, 32, 481–509. https://doi.org/10.1007/s10648-019-09510-3 , [in English].

Frontiers in Psychology. (2019). Advancements in Technology-Based Assessment: Emerging Item Formats, Test Designs, and Data Sources. Retrieved from https://www.frontiersin.org/research-topics/7841/advancements-in-technology-based-assessment-emerging-item-formats-test-designs-and-data-sources , [in English].

Fyfe, E. R., & Rittle-Johnson, B. (2016). Feedback both helps and hinders learning: The causal role of prior knowledge. Journal of Educational Psychology, 108(1), 82–97. https://doi.org/10.1037/edu0000053, [in English].

Michelle, R., Mislevy, M. J., & Corrigan, S. (2015). Evidence-centered design. In Handbook of Test Development (pp. 3-). Abingdon: Routledge. https://doi.org/10.4324/9780203102961.ch3 , [in English].

OECD. (2022). The importance of human capital for economic outcomes. Retrieved from https://one.oecd.org/document/EDU/EDPC%282022%292/en/pdf , [in English].

Partanen, L. (2020). How student-centred teaching in quantum chemistry affects students’ experiences of learning and motivation – a self-determination theory perspective. Chemistry Education Research and Practice, 21, 79-94. https://doi.org/10.1039/C9RP00036D , [in English].

Reinholz, D. (2016). The assessment cycle: A model for learning through peer assessment. Assessment & Evaluation in Higher Education, 41(2), 301-315. https://doi.org/10.1080/02602938.2015.1008982, [in English].

Seyfried, M., & Pohlenz, P. (2018). Assessing quality assurance in higher education: Quality managers’ perceptions of effectiveness. European Journal of Higher Education, 8(3), 258-271. https://doi.org/10.1080/21568235.2018.1474777 , [in English].