About this paper

Appears in:
Pages: 848-850
Publication year: 2014
ISBN: 978-84-617-0557-3
ISSN: 2340-1117

Conference name: 6th International Conference on Education and New Learning Technologies
Dates: 7-9 July, 2014
Location: Barcelona, Spain

ADAPTIVE LEARNING SYSTEMS FOR A COMPETENCE-ENHANCING HUMAN-MACHINE INTERACTION

J. Lemm, M. Loehrer, Y. Gloy, T. Gries

Institut für Textiltechnik der RWTH Aachen University (GERMANY)
The development towards industrial 4.0 is based primarily on modern production machines in conjunction with digital technologies. Following this trend, the operation and development of advanced machinery becomes more complex and requires complex skills of employees in various qualification phases. From the viewpoint of increasing diversity of the workforce, in particular the growth of the group of older employees with the described age-correlated changes in the textile industry, the differential-dynamic job design in textile production seems more relevant than ever. Adaptive Learning Systems (ALS) are not only among the aspects of occupational safety and accessibility a promising technology but also in terms of the extent to which they are able to support their functionality and their internal models a differential-dynamic job design and thus help to realize a load optimization for different people. The use of ALS allows an age-appropriate work and a qualification-specific training of staff. This work-integrated training allows employees to develop their vocational capacity.

The implementation of technologically complex systems, such as an introduction of new production techniques in the context of "industrial 4.0" solutions has to lead to work-integrated, socio-technical equipment and work systems and thus also provides vocational and academic education with new challenges. Especially the ever-changing interaction of employees, machinery, control systems and work organization systems must be considered from the point that technology should serve people, not vice versa.

Therefore the development of Adaptive Learning Systems for a competence-enhancing human-machine interaction in production processes is necessary.
@InProceedings{LEMM2014ADA,
author = {Lemm, J. and Loehrer, M. and Gloy, Y. and Gries, T.},
title = {ADAPTIVE LEARNING SYSTEMS FOR A COMPETENCE-ENHANCING HUMAN-MACHINE INTERACTION},
series = {6th International Conference on Education and New Learning Technologies},
booktitle = {EDULEARN14 Proceedings},
isbn = {978-84-617-0557-3},
issn = {2340-1117},
publisher = {IATED},
location = {Barcelona, Spain},
month = {7-9 July, 2014},
year = {2014},
pages = {848-850}}
TY - CONF
AU - J. Lemm AU - M. Loehrer AU - Y. Gloy AU - T. Gries
TI - ADAPTIVE LEARNING SYSTEMS FOR A COMPETENCE-ENHANCING HUMAN-MACHINE INTERACTION
SN - 978-84-617-0557-3/2340-1117
PY - 2014
Y1 - 7-9 July, 2014
CI - Barcelona, Spain
JO - 6th International Conference on Education and New Learning Technologies
JA - EDULEARN14 Proceedings
SP - 848
EP - 850
ER -
J. Lemm, M. Loehrer, Y. Gloy, T. Gries (2014) ADAPTIVE LEARNING SYSTEMS FOR A COMPETENCE-ENHANCING HUMAN-MACHINE INTERACTION, EDULEARN14 Proceedings, pp. 848-850.
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