Laura Marcano
Department of Electronic Engineering, Oslo and Akershus University College of Applied Sciences (HiOA), Norway
Anis Yazidi
Department of Computer Science, Oslo and Akershus University College of Applied Sciences (HiOA), Norway
Mexhid Ferati
Department of Computer Science, Oslo and Akershus University College of Applied Sciences (HiOA), Norway
Tiina Komulainen
Department of Electronic Engineering, Oslo and Akershus University College of Applied Sciences (HiOA), Norway
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http://dx.doi.org/10.3384/ecp17138203Published in: Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th – 27th, 2017
Linköping Electronic Conference Proceedings 138:28, p. 203-208
Published: 2017-09-27
ISBN: 978-91-7685-417-4
ISSN: 1650-3686 (print), 1650-3740 (online)
The presence of an expert instructor during simulator
training is of great importance for the trainees, if not
indispensable. The instructor’s role is to give feedback
and guide the trainees to help them make the right
decisions on time as effectively as possible. The
instructor starts or pauses the training scenarios when
needed and facilitates reflection during and after the
scenarios. However, the fact that simulator-training
sessions are very dependent on the participation of a
guiding instructor can be a drawback, since there are not
always sufficient expert instructors to fulfil the training
demands. In this work, an intelligent tutoring system
(ITS) is proposed as an automatic feedback solution for
simulator training. It is based on effective assessment of
the system conditions using a clustering based anomaly
detection technique as a core component. Furthermore,
we provide insights into the design of a proper interface
for our ITS. The article presents the methodology for
developing such a systemwhich consists of three stages:
data collection, data analysis and delivering feedback.
simulator training, anomaly detection,
automatic feedback, intelligent tutoring system
