Adaptive Instructional System for Complex Equipment Trainings in the Post-covid Era: Breaking the Ice of Time-Consuming Tasks-Reference-Cited by-同舟云学术

Adaptive Instructional System for Complex Equipment Trainings in the Post-covid Era: Breaking the Ice of Time-Consuming Tasks

Published:2022 Issue: Volume: Page:207-225
ISSN:0302-9743
Container-title:Adaptive Instructional Systems
language:
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Author:

Nazarova Elena,Butyaev Alexander,Bouaouina Mohamed Youssef,Filion Dominic,Waldispuhl Jerome^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-05887-5_15

Reference20 articles.

1. Park, O.-C., Lee, J.: Adaptive instructional systems. In: Jonassen, D.H. (ed.) Handbook of Research for Education Communications and Technology, 2nd edn., pp. 651–684. Erlbaum, Mahwah (2004)

2. Yang, S., Yu, K., Lammers, T., Chen, F.: Artificial intelligence in pilot training and education-towards a machine learning aided instructor assistant for flight simulators. In: Stephanidis, C., Antona, M., Ntoa, S. (eds.) HCI International 2021 - Posters, vol. 1420, pp. 581–587. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-78642-7_78

3. Bell, B., Kelsey, E., Nye, B., Bennett, W.: Adapting instruction by measuring engagement with machine learning in virtual reality training. In: Sottilare, R., Schwarz, J. (eds.) Adaptive Instructional Systems, vol. 12214, pp. 271–282. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-50788-6_20

4. Zahabi, M., Park, J., Razak, A.M.A., McDonald, A.D.: Adaptive driving simulation-based training: framework, status, and needs. Theor. Issues Ergon. Sci. 21(5), 537–561 (2020)

5. Ropelato, S., Zünd, F., Magnenat, S., Menozzi, M., Sumner, R.: Adaptive tutoring on a virtual reality driving simulator. In: 1st Workshop on Artificial Intelligence Meets Virtual and Augmented Worlds (AIVRAR) in Conjunction with SIGGRAPH Asia 2017, ETH Zurich (2017)