Vol. 3 No. 1 (2024): The QUEST: Journal of Multidisciplinary Research and Development
Articles

Talent Cultivation Model of Universities Based on Employment Needs

SHAOZHUANG XU
Liaoning Normal University, Dalian City, Liaoning Province, China
REYNALDO CABUAL
NUEVA ECIJA UNIVERSITY OF SCIENCE & TECHNOLOGY

Published 06/30/2024

Keywords

  • Adapting to changing skill needs; Career mapping; Leadership development; Legal compliance; Talent cultivation model

How to Cite

XU, S., & CABUAL, R. (2024). Talent Cultivation Model of Universities Based on Employment Needs. The QUEST: Journal of Multidisciplinary Research and Development, 3(1). https://doi.org/10.60008/thequest.v3i1.198

Abstract

This study investigated a talent cultivation model tailored to employment needs, analyzing responses from 561 individuals, primarily young adults aged 20-24. It evaluated the model's effectiveness in various components such as training goals, processes, and leadership development, highlighting the need for improvements in lifelong learning and transferable skills. A descriptive correlational design aimed to explain the relationship between two or more variables without making any claims about cause and effect. The majority of respondents were recent graduates, indicating a necessity for targeted talent cultivation efforts to address gender disparities and promote equal opportunities. Challenges identified include adapting to changing skill demands, managing a multigenerational workforce, and integrating technology into talent management. Age and graduation year significantly influenced engagement with talent cultivation efforts, while no consistent correlations were found with other demographics. Recommendations included focusing on lifelong learning, personalized training, continuous program updates, and leveraging technology for talent management enhancement. The study underscored the importance of a multifaceted approach to address talent cultivation challenges, emphasizing continuous skill development and strategic efforts to enhance model effectiveness in promoting comprehensive skill development and leadership capabilities.

Full Paper

References

  1. Bates, A. W. (2015). Teaching in a Digital Age: Guidelines for Designing Teaching and Learning. Tony Bates Associates Ltd.
  2. Borate, N.S.; Borate, S.L. (2016). The second factor, “Quantified Feedback,”
  3. Clarke, M. (2018). Rethinking graduate employability: The role of capital, individual attributes and context. Studies in Higher Education, 43(11), 1923–1937.
  4. Graffam, B. (2007). Active learning in medical education: Strategies for beginning implementation. Medical Teacher, 29(1), 38-42.
  5. Guerra, J. M., Del Valle, I. D., and Suarez, M. M. (2023). The impact of digital transformation on talent management. Technological Forecasting and Social Change. Volume 188, Issues 122291.Elsevier. ScienceDirect.
  6. Guo, Y. (2023), Research on High-level Talent Training System based on Data Analysis
  7. Hong, F., Ruru Liu, Zuo, S., & Wang, Q (2020). Research on Talents Training Mode of Local Applied Undergraduate Universities under the Background of New Engineering, http://dx.doi.org/10.1088/1757-899X/768/5/052001
  8. Liao S, Zhao C, Chen M, Yuan J and Zhou P. (2022) Innovative Strategies for Talent Cultivation in New Ventures Under Higher Education. Front. Psychol. 13:843434. Doi: 10.3389/fpsyg.2022.843434).
  9. Su, Chen (2016). Research on the supply and allocation of Higher Education talents under the background of industrial structure adjustment [J]. Chinese population science.