IJIET 2015 Vol.5(6): 447-450 ISSN: 2010-3689
DOI: 10.7763/IJIET.2015.V5.547

A Learning Innovation Model for Increasing Workers Competencies in Industrial Factories in Three Southernmost Provinces of Thailand

Anuchit Ngamkajonviwat, Wasant Atisabda, Ophat Kaosaiyaporn, and Chidchanok Choengchao

Abstract—This study was to develop a Learning Innovation Model to increase workers’ competencies in working performance and the quality of life. General data was collected from four groups of respondents: provincial labor administrators, factory administrators, workers, and educators. The quantitative data was analyzed and followed by the qualitative data analysis through the focus group which indicated four perspectives in labor management. Those were the working performance, the life skills, the sufficiency economics, and the multicultural awareness which were the essential factors for worker development. A Learning Innovation Model for increasing workers’ competencies in industrial factories in three southernmost provinces of Thailand was proposed based on the hybrid learning.

Index Terms—Learning innovation model, workers, competencies, three southernmost provinces of Thailand.

The authors are with the Department of Educational Technology and Department of Educational Research and Evaluation, Faculty of Education, Prince of Songkla University, Thailand (e-mail: anuchit.ng@hotmail.com, vassan.a@psu.ac.th, ophat.k@psu.ac.th, cchitcha@bunga.psu.ac.th).

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Cite: Anuchit Ngamkajonviwat, Wasant Atisabda, Ophat Kaosaiyaporn, and Chidchanok Choengchao, "A Learning Innovation Model for Increasing Workers Competencies in Industrial Factories in Three Southernmost Provinces of Thailand," International Journal of Information and Education Technology vol. 5, no. 6, pp. 447-450, 2015.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (Since 2019), EI(INSPEC, IET), EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net