工业4.0学科教师能力分析——以泰国高等教育机构为例

R. M. Lima, R. Sousa, Lino Costa, Cristiano Jesus, D. Mesquita, A. Kengpol, W. Meethom
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引用次数: 0

摘要

工业4.0时代要求技术和工程高等教育机构为学生提供这种发展所固有的能力。这需要对教职员工进行培训,但首先,自然必须评估教师的能力水平。这项工作的目的是使用量身定制的问卷,评估I4.0时代教师与产品、工艺和生产相关的自我感知能力的当前水平。此外,这项工作旨在评估学历和经验年限以及自我感知能力水平之间的关系。在方法论方面,问卷项目的制定是基于Acatech框架和现有的I4.0课程。问卷通过以下步骤进行验证:1)由4名教职员工进行大声思考程序;2)由来自推荐机构的约30名教职员工开发的测试和复试统计验证。然后,对200多名教师进行了问卷调查。I4.0中有两个领域的自我感知能力水平较低:数据分析和数字制造。很明显,教职员工,无论其经验水平或学术学位如何,都可能受益于组织和人员管理培训,包括与I4.0相关的流程和技术。
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Analysis of Teachers’ Competences for Industry 4.0 Subjects: A Case of Thai Higher Education Institutions
The era of Industry 4.0 (I4.0) requires technology and engineering higher education institutions to provide their students with the competences inherent to this evolution. This requires teaching staff training, but first, naturally, teachers’ level of competences must be assessed. The objective of this work is to assess the current level of teaching staff self-perceived competences related to product, process, and production in the I4.0 Era, using a tailor-made questionnaire. Additionally, the work aims to evaluate the relation between academic degrees and years of experience, with the level of self-perceived competences. In terms of methodology, the development of the questionnaire’s items was based on the Acatech framework and existing I4.0 courses. The questionnaire was validated through the following steps: 1) think-aloud procedures with 4 teaching staff, and 2) test and retest statistics validation, developed with approximately 30 teaching staff from the referred institutions. Then, the questionnaire was applied to more than 200 teaching staff. Two I4.0 areas showed a lower level of self-perceived competence: Data Analytics and Digital Manufacturing. It became evident that the teaching staff, regardless of their level of experience or academic degree, may benefit from organizational and people management training including processes and techniques related to I4.0.
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来源期刊
Applied Science and Engineering Progress
Applied Science and Engineering Progress Engineering-Engineering (all)
CiteScore
4.70
自引率
0.00%
发文量
56
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