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An intelligent learning framework for Industry 4.0 through automated planning
Author(s) -
Yoo John J.,
Günay Elif E.,
Park Kijung,
Tahamtan Siavash,
Okudan Kremer Gül E.
Publication year - 2021
Publication title -
computer applications in engineering education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.478
H-Index - 29
eISSN - 1099-0542
pISSN - 1061-3773
DOI - 10.1002/cae.22376
Subject(s) - plan (archaeology) , knowledge management , industry 4.0 , computer science , cloud computing , engineering management , workforce , product (mathematics) , key (lock) , process management , engineering , geometry , mathematics , computer security , archaeology , economics , history , embedded system , economic growth , operating system
The fourth industrial revolution, also known as Industry 4.0, has already begun enabling technological innovations in various domains, especially in the manufacturing and service industry. The conditions of the disruptive new product‐service emergence and quickly changing work environments require cultivating a competitive workforce that is equipped with essential knowledge and skills in Industry 4.0. The work presented herein identifies key competencies required for engineers in Industry 4.0 from the extant literature and offers a mechanism to facilitate knowledge and skills acquisition. Specifically, an automated planning software tool, iCoursePlanner , is proposed to recommend an optimized pathway to attain the identified competencies through not only offline courses in a college but also Massive Open Online Courses. This tool is based on a mobile app system in a cloud environment integrated with an optimization model for automated planning. iCoursePlanner uses the initial knowledge and goal knowledge of a learner to suggest a customized course plan. Case studies are conducted for industrial and manufacturing engineering students at Iowa State University and Bradley University to demonstrate how it can be used to help a student to acquire key competencies for Industry 4.0. The originality of the proposed automated course planning tool is rooted in the personalized course plan for each student that considers individual educational background and goal knowledge.