From classroom to industry: Developing universal competencies and AI integration in engineering education for technological advancements

Zhadyra Konurbayeva, Oxana Denissova, Madina Rakhimberdinova, Assiya Mashekenova

Article ID: 9849
Vol 8, Issue 14, 2024

VIEWS - 33 (Abstract) 14 (PDF)

Abstract


The purpose of this study is to develop strategies for enhancing higher and postgraduate education in Kazakhstan, with a focus on improving graduate readiness for professional roles and building predictive models to analyze and assess doctoral graduation rates in technical fields for 2023–2025. This research emphasizes a flexible framework that integrates universal competencies into engineering programs, adaptable to various institutional and national contexts. Active learning methods, including project-based tasks, problem-solving exercises, internships, and lab work, are employed to cultivate practical skills aligned with real-world engineering demands. The study also highlights the need for comprehensive assessment systems that extend beyond theoretical testing, incorporating continuous feedback and curriculum adjustments to align with labor market needs and scientific developments. Results reveal key areas for higher education reform, as outlined in Kazakhstan’s State Program for Education and Science Development (2020–2025). These include implementing a competency-based approach, optimizing interdisciplinary and practice-oriented teaching methods, and enhancing the global competitiveness of Kazakhstani universities. Additionally, through time-series analysis of doctoral graduation data, a trend model was created, showing a steady increase in graduates, tested for anomalies and trend adequacy, making it reliable for forecasting graduate numbers. The scientific significance of this work lies in its contributions to models that improve graduate training, fostering high-quality education to enhance Kazakhstani universities’ global competitiveness. By integrating AI-driven strategies and emerging technologies, the research provides an adaptive educational model to equip students with essential professional and universal competencies, essential for navigating the evolving labor market and supporting sustainable development.

Keywords


universal competencies; competency-based approach; active learning; AI integration; labor market; technological advancement

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References


Ahmad, A. R., Segaran, V. a. G. R., & Sapry, H. R. M. (2020). Academic staff and industry Revolution 4.0: knowledge, innovation and learning factor. Journal of Education and E-learning Research, 7(2), 190–194. https://doi.org/10.20448/journal.509.2020.72.190.194

Civera, A., Meoli, M., & Vismara, S. (2017). Policies for the Provision of Finance to Science-based Entrepreneurship. Annals of Science and Technology Policy, 1(4), 317–469. https://doi.org/10.1561/110.00000004

Daraio, C., Heitor, M., Meoli, M., & Paleari, S. (2019). Policy turnaround: Towards a new deal for research and higher education. Governance, evaluation and rankings in the big data era. Higher Education Quarterly, 73(1), 3–9. https://doi.org/10.1111/hequ.12196

Froehlich, A. C. (2016). Does the curricular structure affect doctoral enrolment? Journal of Business Economics, 86(9), 1067–1089. https://doi.org/10.1007/s11573-016-0812-x

González-Campo, C. H., Murillo-Vargas, G., & García-Solarte, M. (2021). Effect of high-quality accreditation of knowledge management in higher education institutions. Formación Universitaria, 14(2), 155–164. https://doi.org/10.4067/s0718-50062021000200155

Haqani, E., & Rahman, A. (2015). Review of knowledge Management in Higher Education. International Journal of Science and Research, 4(11), 2062–2065. https://doi.org/10.21275/v4i11.nov151609

Kimeto, J. C. (2021). Tertiary tourism graduate employees and tourism employers’ perceptions on tourism skills and competencies relevant for providing quality tourism services in Kenya. Tourism Critiques, 2(1), 20–37. https://doi.org/10.1108/trc-07-2020-0013

Krokhmal, L., Fefelova, A., & Bakuma, D. (2019). Benchmarking: Estimating Efficiency and Ensuring Development Tool of National High Education Systems. Èkonomika, Professiâ, Biznes, 3(3), 48–59. https://doi.org/10.14258/epb201934

Lehmann, E. E., & Stockinger, S. a. E. (2018). Entrepreneurship in Higher Education: The impact of competition‐based policy programmes exemplified by the German Excellence Initiative. Higher Education Quarterly, 73(1), 70–84. https://doi.org/10.1111/hequ.12188

Masete, M. Z., & Mafini, C. (2018). Internal barriers to supply chain management implementation in a South African traditional university. Journal of Transport and Supply Chain Management, 12. https://doi.org/10.4102/jtscm.v12i0.389

Menter, M., Lehmann, E. E., & Klarl, T. (2018). In search of excellence: a case study of the first excellence initiative of Germany. Journal of Business Economics, 88(9), 1105–1132. https://doi.org/10.1007/s11573-018-0909-5

Meoli, M., Pierucci, E., & Vismara, S. (2017). The effects of public policies in fostering university spinoffs in Italy. Economics of Innovation and New Technology/Economics of Innovation & New Technology, 27(5–6), 479–492. https://doi.org/10.1080/10438599.2017.1374048

Nicola-Gavrilă, L. (2023). Education and Technology in a Data Driven Society. Turning Data into Education Intelligence. In L., Nicola-Gavrilă (Ed), Digital Future in Education: Paradoxes, Hopes and Realities (pp.12-33). ISBN 978-606-95516-1-5. In Book Series Socio-Economics, Research, Innovation and Technologies (SERITHA), ISSN: 3008- 4237. https://doi.org/10.57017/SERITHA.2023.DFE.ch1

Official resource of the National ranking of leading technical universities in Kazakhstan. https://iqaa-ranking.kz/rejting-vuzov/natsionalnyj-rejting-vedushchikh-vuzov-kazakhstana-2023/natsionalnyj-rejting-vedushchikh-mnogoprofilnykh-vuzov kazakhstana-3

Official resource of the National report on science. https://www.gov.kz/uploads/2023/ 11/17/e76d83989b2cae13d8fb1e12cc31e83c_original.3751084.pdf

Official resources of the Project of the Ministry of Education and Science of the Republic of Kazakhstan “Productive Employment” for 2021-2025

Piróg, D., Kilar, W., & Rettinger, R. (2021). Self-assessment of competences and their impact on the perceived chances for a successful university-to-work transition: the example of tourism degree students in Poland. Tertiary Education and Management, 27(4), 367–384. https://doi.org/10.1007/s11233-021-09081-5

Prahiawan, W., Fahlevi, M., Juliana, J., Purba, J. T., & Tarigan, S. A. (2021). The role of e-satisfaction, e-word of mouth and e-trust on repurchase intention of online shop. International Journal of Data and Network Science, 5(4), 593–600. https://doi.org/10.5267/j.ijdns.2021.8.008

Sardjono, W., & Firdaus, F. (2020). Readiness Model of Knowledge Management Systems Implementation at The Higher Education. Icic Express Letters, 14(5), 477–487. https://doi.org/10.24507/icicel.14.05.477

Sørensen, M. P., Bloch, C., & Young, M. (2015). Excellence in the knowledge-based economy: from scientific to research excellence. European Journal of Higher Education, 6(3), 217–236. https://doi.org/10.1080/21568235.2015.1015106

Tessema, A. M. & Nicola-Gavrilă, L. (2023). Assessment of the Experiences of Higher Education Institution on Online Learning: The Case of Some Selected Institutions, Journal of Research, Innovation and Technologies, Volume II, 1(3), 49-56. https://doi.org/10.57017/jorit.v2.1(3).04




DOI: https://doi.org/10.24294/jipd9849

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