Reflections on the Adoption of Virtual Adaptive Learning Tool for Industrial Training

Alberto Martinetti, Micaela Demichela, Steven Spoolder, Joep von Berg, Leonardus Adriana Maria van Dongen

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

1 Citation (Scopus)
66 Downloads (Pure)

Abstract

Ensuring proper education for employees represents a key factor in
most of the industrial sectors. Several researches have been conducted in order
to test the efficiency of new educational methods for improving their flexibility
and effectiveness. At the same time, the introduction of emergent technologies,
such as Virtual Reality (VR), is offering new solutions for industries for both
reducing cost of training programmes and for better tailoring those on the needs
of the users. Based on a first cross-industry reflection, the paper analyses how
the combination of adaptive learning methods with VR could bring substantial
benefits to companies (railway and process industry) in replacing the actual
training programmes based on traditional learning approaches. Firstly, the paper
offers a short overview on the features of adaptive learning and VR. Secondly, a
consideration on the main requirements on railway sector and process industry is
conducted in order to link them with constrains appeared during the current
training programmes. Finally, possible solutions based on the previous findings
are highlighted in order to sketch a possible working framework for creating a
Virtual Reality Adaptive Learning Tool. Our research, thereby, shows how longterm strategic educational policies can impact the performance of the industries.
Original languageEnglish
Title of host publicationHuman Interaction, Emerging Technologies and Future Applications II
Subtitle of host publicationProceedings of the 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET – AI 2020), April 23–25, 2020, Lausanne, Switzerland
EditorsTareq Ahram, Redha Taiar, Vincent Gremeaux-Bader, Kamiar Aminian
PublisherSpringer
Pages309-314
Number of pages6
ISBN (Electronic)978-3-030-44267-5
ISBN (Print)978-3-030-44266-8
DOIs
Publication statusPublished - 23 Apr 2020
Event2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET – AI 2020 - Lausanne, Switzerland
Duration: 23 Apr 202025 Apr 2020
Conference number: 2

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer
Volume1152

Conference

Conference2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET – AI 2020
Abbreviated titleIHIET – AI 2020
Country/TerritorySwitzerland
CityLausanne
Period23/04/2025/04/20
OtherDue to unforeseen development in the world’s global health, we merged the conference scientific program in Lausanne with the IHIET 2020 conference which will be held in Paris!

Keywords

  • Adaptive learning
  • Virtual Reality
  • Railway
  • Process industry
  • 22/3 OA procedure

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