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.
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 language | English |
|---|---|
| Title of host publication | Human Interaction, Emerging Technologies and Future Applications II |
| Subtitle of host publication | Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET – AI 2020), April 23–25, 2020, Lausanne, Switzerland |
| Publisher | Springer |
| Pages | 309-314 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-3-030-44267-5 |
| ISBN (Print) | 978-3-030-44266-8 |
| DOIs | |
| Publication status | Published - 23 Apr 2020 |
| Event | 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET – AI 2020 - Lausanne, Switzerland Duration: 23 Apr 2020 → 25 Apr 2020 Conference number: 2 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Publisher | Springer |
| Volume | 1152 |
Conference
| Conference | 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET – AI 2020 |
|---|---|
| Abbreviated title | IHIET – AI 2020 |
| Country | Switzerland |
| City | Lausanne |
| Period | 23/04/20 → 25/04/20 |
| Other | Due 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