ABSTRACT

Fighter jets are a critical national asset. Because of the high cost of their manufacture and that of their related equipment, both pilots and maintenance personnel must complete intensive training before coming into contact with a jet. Due to gradual military downsizing, one-on-one training is often impracticable, and the level of familiarization with procedures among personnel is difficult to measure. The US military introduced a chatbot as part of its digital training material to enhance training effectiveness and avoid equipment damage. In this study, the contribution of an artificial intelligence (AI) chatbot in training is explored. To evaluate the necessity of an AI chatbot, research samples were divided into two groups, namely an experimental and a control group, with 20 people in each group. A paired t test was employed for differentiation analysis of pretest and posttest average scores, revealing that the two groups exhibited a statistically significant improvement in their learning performance. In addition, the blend of analysis of variance results indicated significant differences between the two groups. The chatbot training was more effective than traditional instructor teaching in terms of trainee performance improvement.

摘要

战斗机是重要的国家资产。由于其制造及其相关设备的成本高昂，飞行员和维护人员在接触喷气式飞机之前都必须完成强化培训。由于军队规模逐渐缩小，一对一的训练往往不切实际，人员对程序的熟悉程度也难以衡量。美国军方引入了聊天机器人作为其数字培训材料的一部分，以提高培训效果并避免设备损坏。在这项研究中，探讨了人工智能 (AI) 聊天机器人在训练中的贡献。为了评估人工智能聊天机器人的必要性，研究样本被分为两组，即实验组和对照组，每组 20 人。采用配对 t 检验对前测和后测平均分数进行差异分析，结果显示两组的学习成绩有统计学上的显着改善。此外，方差分析结果的混合表明两组之间存在显着差异。在提高学员表现方面，聊天机器人培训比传统讲师教学更有效。