TY - JOUR
T1 - Analysis of teachers’ competences for industry 4.0 subjects
T2 - a case of thai higher education institutions
AU - Lima, Rui M.
AU - Sousa, Rui M.
AU - Costa, Lino
AU - Jesus, Cristiano
AU - Mesquita, Diana
AU - Kengpol, Athakorn
AU - Meethom, Warapoj
AU - Koomsap, Pisut
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Industry 4.0
KW - Teacher competences
KW - Industrual engineering and management
U2 - 10.14416/j.asep.2022.09.005
DO - 10.14416/j.asep.2022.09.005
M3 - Article
VL - 16
JO - Applied Science and Engineering Progress
JF - Applied Science and Engineering Progress
SN - 2672-9156
IS - 4
M1 - 6233
ER -