Mining students' digital footprints to enhance simulator training
Mining students' digital footprints to enhance simulator training
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DOI | Resolve DOI: https://doi.org/10.54941/ahfe1003854 |
Author | Search for: ; Search for: ORCID identifier: https://orcid.org/0000-0001-8423-0572; Search for: ; Search for: |
Format | Text, Article |
Conference | 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023), July 20-24, 2023, San Francisco, California, USA |
Subject | data mining; simulator training; offshore emergency; logistic regression |
Abstract | |
Publication date | 2023 |
Publisher | AHFE International |
Licence |
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Series | |
Language | English |
Peer reviewed | Yes |
NRC publication | This is a non-NRC publication"Non-NRC publications" are publications authored by NRC employees prior to their employment by NRC. |
Export citation | Export as RIS |
Report a correction | Report a correction (opens in a new tab) |
Record identifier | d0b277ef-8712-4ff8-aa7e-7c80a3f70169 |
Record created | 2024-06-14 |
Record modified | 2024-06-14 |
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