This study aims to further develop research on the Tripartite Education System (TES) for Thailand and the ASEAN region. The collaboration between governmental agencies, industries and education institutions (universities, technical colleges) in a Public-Private Partnership (PPP) has proven to be of benefit in achieving a workforce able to cope with the challenges of the labour market in an Industry 4.0 environment. However, there is still debate on how to organize the PPP specifically. This essay gives some insights into three variants of the Thai School-in-Factory (SiF) model implemented at the Rajamangala University of Technology Lanna, which will be called Collaboration A, Collaboration B and Collaboration C. The analyses are done by reviewing existing documents on the projects (such as Memorandums of Understanding), and the review will show similarities and differences in collaboration structure, elements and concepts, objectives, roles of educational institutes and industries, curriculum, and finally, criteria and processes for student selection.
Developing the Tripartite Education System for the ASEAN Region: A comparative analysis of three variants of the School-in-Factory program at the Rajamangala University of Technology Lanna
Tripartite Education: a collaborative structure of learning venues conducive to the improvement of TVET system in Thailand
Thailand Industry 4.0 aims to develop an economy that is driven by innovation to advance to the level of high-income countries. One factor that would help drive such growth is continuous labour development. The Thai government recognized the significant role of Technical and Vocational Education and Training (TVET) in developing a competitive workforce and encouraged its improvement through various strategic policies. This paper discusses a TVET model that seeks to enhance the implementation of a Dual TVET system that involves work-based learning in Thailand through a collaborative structure and the application of action research. The study employed two research methods: relevant document analysis and a semi-structured questionnaire.