基于网络的混合学习在航空货运安全领域的初步成果

Philipp Sury, S. Ritzmann, A. Schwaninger
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引用次数: 0

摘要

由于目前实施的旅客检查标准很高,航空货运被视为民航安全链中最薄弱的一环,因此成为恐怖分子的一个诱人目标。有详细的规定来加强航空货运抵御恐怖袭击。混合学习培训方法可用于使安检人员即使在技术措施(例如x射线)没有显示任何威胁的情况下也能发现可疑货物。在这项研究中,混合学习在瑞士机场的处理代理场所进行了三门课程(总共七名学员),并随后进行了评估。结果表明,学员对培训非常满意,在期末考试中取得了很高的成绩。然而,学员在基于网络的培训(WBT)中反复跳过文本,导致WBT必须在呈现模式方面进行优化。关于如何创建更吸引人的WBT内容的建议可以在基于计算机的训练(CBT)的各种分类方法中找到,并在本文中进行了讨论。
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Initial results of web based blended learning in the field of air cargo security
With the currently implemented high standards in passenger screening, air cargo is being perceived as the security chain's weakest link in civil aviation and therefore becomes an attractive target for terrorists. Detailed regulations exist to harden air cargo against terrorist attacks. Blended learning training methods can be used to enable screeners to detect suspicious consignments even in situations when technical measures (e.g. x-ray) do not indicate any threat In this study, blended learning was conducted at a handling agents premises at a Swiss airport in three courses (seven trainees in total) and evaluated subsequently. Results show a very high satisfaction with the training and very high scores in the final exam. However, trainees repeatedly skipped text inside the web based training (WBT) leading to the conclusion that the WBT has to be optimized in terms of presentation modes. Suggestions on how to create even more engaging WBT content can be found in various methods of classification of computer based training (CBT) and are discussed in this paper.
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