The Development of Intelligence Learning Media for Improving Occupational Competence in Thailand Information and Digital Content Competency Level 3

IF 0.8 Q3 EDUCATION & EDUCATIONAL RESEARCH Journal of Technical Education and Training Pub Date : 2022-09-29 DOI:10.30880/jtet.2022.14.02.002
Umnapiang Phadet, Wisaeng Kittipol
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引用次数: 1

Abstract

Occupational competency is important for preparing the workforce for growing and enhancing Thai economics in Thailand 4.0. In Thailand 4.0, new technologies and digital innovation are implemented in all sectors of daily life; consequently, intelligence learning media is needed to be developed to enhance the occupational competence of the workforce. Therefore, this research aimed (1) to develop the Intelligent Learning Media for improving occupational competence in Thailand Information and Digital Content Competency Level 3 and (2) to study the efficiency of Intelligent Learning Media for improving occupational competence in Thailand Information and Digital Content Competency Level 3. The learning media was developed by a system development life cycle integrated with artificial intelligent algorithms: Decision Tree. The accuracy of decision tree algorithms considered the quality of learning media. The result of this study showed that (1) the Intelligent Learning Media for Improved Occupational Competence in Thailand Information and Digital Content Competency Level 3 comprised four components, including TPQI competency, students’ competency, artificially intelligent algorithms, and learning media that can automatically provide and enhance students with their competency by artificially intelligent algorithms: Decision Tree, and (2) the efficacy of learning media was considered by the 95.23% correctly classified instance by a decision tree. The satisfaction of learning media was =4.38, SD=0.14.
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智能学习媒体的发展对泰国职业能力的提升信息与数字内容能力
职业能力对于为泰国4.0的经济增长和提升做好准备的劳动力非常重要。在泰国4.0中,新技术和数字创新应用于日常生活的各个领域;因此,需要开发智能学习媒体来提高劳动力的职业能力。因此,本研究旨在(1)开发智能学习媒体提升泰国信息与数字内容胜任力三级职业胜任力;(2)研究智能学习媒体提升泰国信息与数字内容胜任力三级职业胜任力的效率。学习媒体采用与人工智能算法相结合的系统开发生命周期:决策树。决策树算法的准确性考虑了学习媒体的质量。研究结果表明:(1)泰国信息与数字内容胜任力三级提升的智能学习媒体由TPQI胜任力、学生胜任力、人工智能算法和通过人工智能算法自动提供和提升学生胜任力的学习媒体四个部分组成;(2)通过决策树的95.23%的正确分类实例来考虑学习媒体的有效性。学习媒介满意度=4.38,SD=0.14。
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来源期刊
Journal of Technical Education and Training
Journal of Technical Education and Training EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
2.10
自引率
14.30%
发文量
12
期刊介绍: JTET will consider for publications original research articles, critical reviews as well as technical reports that can further our understanding of TVET issues and concerns
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