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http://dx.doi.org/10.5762/KAIS.2020.21.1.649

An Analysis on the Educational Needs for the Smart Farm: Focusing on SMEs in Jeon-nam Area  

Hwang, Doo-hee (Miller MOT School, Konkuk University)
Park, Geum-Ju (Center for Teaching and Learning, Dankook University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.21, no.1, 2020 , pp. 649-655 More about this Journal
Abstract
This study determined effective educational strategies by investigating and analyzing the related educational demands for SMEs (small and medium-sized enterprises) in the 4th Industrial Revolution based area of smart farms. In order to derive the approprate educational strategies, Importance-Performance Analysis (IPA) and Borich's Needs Assessment Model were conducted based on the smart farm technological field. As a result, the education demand survey showed high demand for production systems and intelligent farm machinery. In detail, Borich's analysis showed the need for pest prevention and diagnosis technology (8.03), network and analysis SW linkage technology (7.83), and intelligent farm worker-agricultural power system-electric energy hybrid technology (7.43). In contrast, smart plant factories (4.09), lighting technology for growth control (4.46) and structure construction technology (4.62) showed low demands. Based on this, the IPA portfolio shows that the network and analysis SW linkage technology and the CAN-based complex center are urgently needed. However, the technology that has already been developed, such as smart factory platform development, growth control lighting technology and structure construction technology, was oversized. Based on these results, it is possible to strategically suggest the customized training programs for industrial sectors of SMEs that reflect the needs for efficiently operating smart farms. This study also provides effective ways to operate the relevant training programs.
Keywords
Importance-Performance Analysis(IPA); Borich's Needs Assessment Model; Educational Needs Survey; Smart Farm; Technological Training and Education Program;
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