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Exploring Edutech-based Vocational Education and Training Model for Worker Training Programs

  • Kyung-Hwa Rim (School of Mechatronics Engineering, KOREATECH) ;
  • Jungmin Shin (Advanced Technology Research Center, KOREATECH) ;
  • Ju-ri Kim (Center for Data & Outcome, KOREATECH)
  • Received : 2023.06.13
  • Accepted : 2023.07.19
  • Published : 2023.08.30

Abstract

Education has recently witnessed a rapid increase in the use of edutech worldwide. This study focuses on Korean workers and explores an edutech-based learning model for vocational education and training. Based on analyses of edutech cases and interviews with edutech experts, a draft edutech model was designed and the validity was evaluated based on two Delphi surveys with a panel of experts in the field. The study's findings suggest that edutech-based employee education and training should prioritize LXP orientation (last CVR=1, last Mean=4.70) , implement adaptive learning through learning analytics (last CVR=1, last Mean=4.90), enhance the human touch effect using edutech (last CVR=1, last Mean=4.90), and emphasize the importance of designing curricula that apply edutech in a step-by-step learning process while incorporating suitable instructional design for the key technologies involved in vocational training programs. In addition, it was revealed that there is a strong need to implement a method that makes each stage of the learning process more effective (before, during, and after). Edutech-based vocational training program should consider the interests of all stakeholders, including learners, instructors, vocational training institutions, and government agencies. Given the promotion of government-sponsored vocational training projects in Korea, the findings of this research are likely to have significant implications for the future of Korea's education and training policies.

Keywords

Acknowledgement

This work is supported by the 2023 Korea University of Technology and Education Professor Education Research Promotion Project and the National Research Foundation of Korea's New Researcher Support Project (NRF-2021S1A5A8070203).

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