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Predictive Performance Assessment in Simulation Training using Machine Learning

delete2025-03-19
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OA
AI
Z
Ziaul Haque Munim *
F
Fabian Kjeldsberg
M
Morten Bustgaard
B
Bhagat, Sahil
P
Per Haavardtun
T
Tae-Eun Kim
E
Emilia Lindroos
H
Haakon Thorvaldsen
F
Franklin Nyairo
J
Jani Lampiola
DOI:10.1007/s40593-025-00464-ydelete
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摘要

摘要

En 中文
航海模拟器是培养和训练导航员的核心工具,允许他们在可控且可复现的环境中发展和提升技能。尽管努力提升模拟训练表现评估,但现有可靠方法很少能利用模拟器日志中易于获取的数据来指导表现评估和训练调整。更有效地利用这些数据可以改进我们对模拟训练的评估方式,并提供更透明的学习进展和改进领域理解。为开发用于航海模拟训练表现评估的学习分析仪表盘(LAD),我们分析包含27个潜在输入特征的模拟器日志数据,以预测学生表现作为目标特征。在通过数据可视化和专家验证筛选出13个潜在输入特征后,采用云人工智能平台预测学生表现。共训练了58个算法,其中eXtreme Gradient Boosted Trees Classifier算法被用于预测。结果表明,机器学习算法在分析航海导航训练数据方面具有应用潜力,为模拟训练评估开辟了新的方向。
Keyword:
Simulator training
Training and assessment
Learning analytics
Artificial intelligence
Machine learning

期刊

International Journal of Artificial Intelligence in Education 封面图
International Journal of Artificial Intelligence in Education
IF:
8.5
论文数:
104
被引数:
2.8K

机构

A
arctic univ norway
学者数:
33
论文数: 26
被引数: 7
N
novia univ appl sci
学者数:
3
论文数: 1
被引数: 0
U
Univ South Eastern Norway
学者数:
82
论文数: 57
被引数: 13
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