Learning Factory Synergy: Applied Learning and Problem-Based Pedagogy in the Digital Transformation Ecosystem

Peter Chun Yu Yau, Ejoe Tso, Dennis Wong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The current manufacturing process has changed drastically in the last decade due to the many changes in both hardware and software in computing. It is thus worth investigating how people make use of these latest technologies in one single workplace to fully utilize the power given by the manufacturing business process, from learning, production, and then to further development. In this paper, we discuss the challenges and difficulties of how workplace synergy can be synchronous with academia in the form of research centers. We surveyed some key personnel who partnered with higher education institutes for collaboration work. Based on their experience, we would like to showcase and discuss the core factors to make the academic-industrial collaboration work successful. We will discuss the project plan, partner relationship, and knowledge sharing process between industry supporters, academic staff, and the students; including the pedagogy used and how the digital transformation takes place in the learning factory ecosystem and then transferred the output to the real world. We conclude that to achieve a good workplace synergy in the learning factory ecosystem, four elements are essential: a real-world scenario, a work-based learning pedagogy, a long-term industry partner, a knowledgeable manager, who is a professional with commercial experience, and with a technically trained background. We believed vocational education, applied learning, work-based learning and teaching are several critical educational elements to enhance economic growth.

Original languageEnglish
Title of host publicationProceedings of the Future Technologies Conference, FTC 2022, Volume 3
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages8
ISBN (Print)9783031183430
Publication statusPublished - 2023
Event7th Future Technologies Conference, FTC 2022 - Vancouver, Canada
Duration: 20 Oct 202221 Oct 2022

Publication series

NameLecture Notes in Networks and Systems
Volume561 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


Conference7th Future Technologies Conference, FTC 2022


  • Applied learning
  • Digital transformation
  • Internship
  • Learning factory
  • Pedagogy
  • Problem-based learning
  • Trainings
  • Workplace synergy


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