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Year 2018, , 9 - 14, 01.01.2018
https://doi.org/10.17220/ijpes.2018.01.002

Abstract

References

  • Bauer, W., Hämmerle, M., Schlund, S., and Vocke, C. (2015). Transforming to a hyper-connected society and economy –towards an “Industry 4.0”. Procedia Manufacturing, 3, 417 – 424.
  • Chen, G. and Zhang, J. (2015). Study on training system and continuous improving mechanism for mechanical engineering. The Open Mechanical Engineering Journal, 9, 7-14.
  • Faller, C., and Feldmüller, D. (2015). Industry 4.0 learning factory for regional SMEs. Procedia CIRP, 32, 88 –
  • Lee, J., Bagheri, B., and Kao, H.A. (2015). Research letters a cyber-physical systems architecture for Industry 0-based manufacturing systems. Manufacturing Letters, 3, 18–23.
  • Schuh, G., Gartzen, T., Rodenhauser, T. and Marks, A. (2015). Pormoting work-based learning through
  • Industry 4.0. Procediia CIRP, 32, 82-87. Sokolor, B. and Ivanov, D. (2015). Integrated scheduling gof material flows and information services industry 0 supply networks. IFAC-Papers OnLine, 48(3),1533-1538.
  • Stock, T. & Seliger, F. (2016). Opportunities of sustainable manufacturing in Industry 4.0. Procedia CIRP, 40, – 541.
  • Stosich, E.L. (2016). Building teacher and school capacity to teach to ambitious standards in high-poverty schools. Teaching and Teacher Education, 58, 43–53.
  • Tait-McCutcheon, S., and Drake, M. (2016). If the jacket fits: A metaphor for teacher professional learning and development. Teaching and Teacher Education, 55, 1-12.
  • Tan, Y.S.M. and Atencio, M. (2016). Unpacking a place-based approach – What lies beyond? Insights drawn from teachers' perceptions of outdoor education. Teaching and Teacher Education, 56, 25-34.
  • Wang, S., Wan, J., Li, S., and Zhang, C. (2016). Implementing smart factory of Industrie 4.0: An outlook.
  • International Journal of Distributed Sen- sor Networks,.doi:10.1155/2016/3159805i
  • Wang, S. Wan, J., Zhang, D., Li, D., and Zhang, C. (2016). Towards smart factory for industry 4.0: a self- organized multi-agent system with big data based feedback and coordination. Computer Networks, 101(4), –168.
  • Wang, J.S., Pascarella, E.T., Laird, T.F.N., and Ribera, A.K. (2015). How clear and organized classroom instruction and deep approaches to learning affect growth in critical thinking and need for cognition. Studies in Higher Education, 40(10), 1786-1807.
  • Weiss, A., Huber, A., Minichberger, H., and Ikeda, M. (2016). First application of robot teaching in an existing Industry 4.0 environment: Does it really work? Societies, 6(3), 20; doi:10.3390/soc6030020
  • Wijnia, L., Kunst, L., Woerkon, M., and Poell, R.F. (2016). Team learning and its association with the implementation of competence-based education. Teaching and Teacher Education, 56, 115-126.
  • Witte, T.C.H. and Jansen, E.P.W.A. (2016). Students' voice on literature teacher excellence. Towards a teacher- organized model of continuing professional development. Teaching and Teacher Education, 56, 162-172.

Industry 4.0 Manpower and its Teaching Connotation in Technical and Vocational Education: Adjust 107 Curriculum Reform

Year 2018, , 9 - 14, 01.01.2018
https://doi.org/10.17220/ijpes.2018.01.002

Abstract

This research aims to understand industry participants’ opinions about vocational education under the development of Industry 4.0 manpower and its teaching connotation. The study adopted the expert interview method and invited 10 industry experts to hold 2 meetings. According to the research results, the original teaching contents in the departments of junior colleges have been changed and departments have been recombined, so that the schools can now offer courses related to big data analysis, cloud computing, Internet of Things, etc. to meet the demands of Industry 4.0. Higher vocational education has set about establishing a practical classroom based on the concept of Industry 4.0, in order that schools and industry can establish a close cooperation relationship and share resources with each other. Industry can help schools update their equipment and eliminate the gap between learning and practice by equipping students at technical and vocational universities with the right competitiveness under system integration and industry connection.

References

  • Bauer, W., Hämmerle, M., Schlund, S., and Vocke, C. (2015). Transforming to a hyper-connected society and economy –towards an “Industry 4.0”. Procedia Manufacturing, 3, 417 – 424.
  • Chen, G. and Zhang, J. (2015). Study on training system and continuous improving mechanism for mechanical engineering. The Open Mechanical Engineering Journal, 9, 7-14.
  • Faller, C., and Feldmüller, D. (2015). Industry 4.0 learning factory for regional SMEs. Procedia CIRP, 32, 88 –
  • Lee, J., Bagheri, B., and Kao, H.A. (2015). Research letters a cyber-physical systems architecture for Industry 0-based manufacturing systems. Manufacturing Letters, 3, 18–23.
  • Schuh, G., Gartzen, T., Rodenhauser, T. and Marks, A. (2015). Pormoting work-based learning through
  • Industry 4.0. Procediia CIRP, 32, 82-87. Sokolor, B. and Ivanov, D. (2015). Integrated scheduling gof material flows and information services industry 0 supply networks. IFAC-Papers OnLine, 48(3),1533-1538.
  • Stock, T. & Seliger, F. (2016). Opportunities of sustainable manufacturing in Industry 4.0. Procedia CIRP, 40, – 541.
  • Stosich, E.L. (2016). Building teacher and school capacity to teach to ambitious standards in high-poverty schools. Teaching and Teacher Education, 58, 43–53.
  • Tait-McCutcheon, S., and Drake, M. (2016). If the jacket fits: A metaphor for teacher professional learning and development. Teaching and Teacher Education, 55, 1-12.
  • Tan, Y.S.M. and Atencio, M. (2016). Unpacking a place-based approach – What lies beyond? Insights drawn from teachers' perceptions of outdoor education. Teaching and Teacher Education, 56, 25-34.
  • Wang, S., Wan, J., Li, S., and Zhang, C. (2016). Implementing smart factory of Industrie 4.0: An outlook.
  • International Journal of Distributed Sen- sor Networks,.doi:10.1155/2016/3159805i
  • Wang, S. Wan, J., Zhang, D., Li, D., and Zhang, C. (2016). Towards smart factory for industry 4.0: a self- organized multi-agent system with big data based feedback and coordination. Computer Networks, 101(4), –168.
  • Wang, J.S., Pascarella, E.T., Laird, T.F.N., and Ribera, A.K. (2015). How clear and organized classroom instruction and deep approaches to learning affect growth in critical thinking and need for cognition. Studies in Higher Education, 40(10), 1786-1807.
  • Weiss, A., Huber, A., Minichberger, H., and Ikeda, M. (2016). First application of robot teaching in an existing Industry 4.0 environment: Does it really work? Societies, 6(3), 20; doi:10.3390/soc6030020
  • Wijnia, L., Kunst, L., Woerkon, M., and Poell, R.F. (2016). Team learning and its association with the implementation of competence-based education. Teaching and Teacher Education, 56, 115-126.
  • Witte, T.C.H. and Jansen, E.P.W.A. (2016). Students' voice on literature teacher excellence. Towards a teacher- organized model of continuing professional development. Teaching and Teacher Education, 56, 162-172.
There are 17 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

Chun-mei Chou This is me

Chien-hua Shen This is me

Hsi-chi Hsiao This is me

Tsu-chguan Shen This is me

Publication Date January 1, 2018
Published in Issue Year 2018

Cite

APA Chou, C.-m., Shen, C.-h., Hsiao, H.-c., Shen, T.-c. (2018). Industry 4.0 Manpower and its Teaching Connotation in Technical and Vocational Education: Adjust 107 Curriculum Reform. International Journal of Psychology and Educational Studies, 5(1), 9-14. https://doi.org/10.17220/ijpes.2018.01.002