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Reciprocal Learning Assistance Systems in Smart Manufacturing: Transformation from Unidirectional to Bidirectional Learning Technology in Manufacturing Enterprises

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Online Teaching and Learning in Higher Education

Part of the book series: Cognition and Exploratory Learning in the Digital Age ((CELDA))

Abstract

Collaboration of human and intelligent machines may establish physical or cognitive reciprocal dependencies, especially through sharing workplace and sharing knowledge. Human learning has been considered as a subject in the field of education, pedagogy, and cognitive psychology describing and modeling human learning processes. The ultimate goal is to better understand how humans acquire, store, and demonstrate knowledge, skill, ability and competence, and thus how they continuously support and improve the learning process, and pertained learning outcomes. What can we still learn from existing theories and natural phenomena to promote learning in smart factories? This book chapter provides an overview of technology-assisted learning and deepens insights into “human-machine reciprocal learning.” This novel approach is an enabler to generate and foster collective human-machine learning across a smart factory. The interlinking of digital profiles of humans and machines permits the identification and measurement of learning outcomes through sharing of workplace and performing of (shared) tasks. To achieve this goal and subsequently to transform today’s smart factory into a self-learning factory, the concept model of AUTODIDACT focusing on the envisaged use-cases at TU Wien Pilot Factory Industry 4.0 is presented. Finally, underlying objectives and research questions related to reciprocal learning and the implementation of such a reciprocal learning assistance system are outlined.

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Acknowledgment

The authors would like to express their sincere gratitude to the Austrian Research Promotion Agency (FFG) and several private industrial firms that co-finance the TU Wien Pilot Factory Industry 4.0.

Furthermore, it is also noted that some of the activities covered in this chapter were financed through the bmvit-endowed chair for Industry 4.0 at TU Wien.

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Authors and Affiliations

  1. Vienna University of Technology, Vienna, Austria

    Fazel Ansari & Walter Mayrhofer

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  1. Fazel Ansari
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  2. Walter Mayrhofer
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Correspondence to Fazel Ansari .

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Editors and Affiliations

  1. School of Information Systems & Technology Management, UNSW Business School, Sydney, NSW, Australia

    Pedro Isaias

  2. Department of Digital Systems, University of Piraeus, Piraeus, Greece

    Demetrios G. Sampson

  3. Learning, Design and Technology, University of Mannheim, Mannheim, Baden-Württemberg, Germany

    Dirk Ifenthaler

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Ansari, F., Mayrhofer, W. (2020). Reciprocal Learning Assistance Systems in Smart Manufacturing: Transformation from Unidirectional to Bidirectional Learning Technology in Manufacturing Enterprises. In: Isaias, P., Sampson, D.G., Ifenthaler, D. (eds) Online Teaching and Learning in Higher Education. Cognition and Exploratory Learning in the Digital Age. Springer, Cham. https://doi.org/10.1007/978-3-030-48190-2_10

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