JOURNAL ARTICLE

Readiness of Brazilian Industrial Engineering postgraduate programs for Industry 4.0: A knowledge dimensions assessment.

  • Published In: Computer Applications in Engineering Education, 2023, v. 31, n. 3. P. 501 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Tortorella, Guilherme Luz; Cauchick‐Miguel, Paulo A.; Frazzon, Enzo M.; Fogliatto, Flavio S.; Godinho Filho, Moacir; Thürer, Matthias 3 of 3

Abstract

This study examines how Industrial Engineering postgraduate programs intend to develop the competencies required for Industry 4.0 in their students. An exploratory and descriptive approach was adopted. Multiple sources of evidence were collected in four of Brazil's best‐ranked and most traditional Industrial Engineering postgraduate programs, involving experienced academics and directors of these programs. Four knowledge dimensions were used to frame our study: factual, conceptual, procedural, and metacognitive. Results indicate that Industrial Engineering postgraduate courses tend to emphasize technical competencies, such as problem and conflict‐solving, decision‐making, and analytical and research skills, rather than competencies related to interpersonal relationships, such as creativity, entrepreneurial thinking, leadership, adaptability, and flexibility. We also found that the development of Industry 4.0 competencies in the examined Industrial Engineering postgraduate programs mostly relies on activities related to procedural knowledge. Our study provides Industrial Engineering instructors and academics arguments to revisit their curricula and better prepare postgraduate students for the challenges imposed by Industry 4.0. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Computer Applications in Engineering Education. 2023/05, Vol. 31, Issue 3, p501
  • Document Type:Article
  • Subject Area:Engineering
  • Publication Date:2023
  • ISSN:10613773
  • DOI:10.1002/cae.22595
  • Accession Number:163705062
  • Copyright Statement:Copyright of Computer Applications in Engineering Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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