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.
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No potential conflict of interest was reported by the author(s).
Additional information
Notes on contributors
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Chia-Ching Yuan
Chia-Ching Yuan received the M.S. degree from the Ling Tung University, Taiwan, in 2011. Now is the doctoral student at the Graduate Institute of Educational Information and Measurement, National Taichung University of Education, Taichung, Taiwan, R.O.C. Now career is Lieutenant colonel of the 3rd Tactical Fighter Wing of ROC Air Force, Taichung, Taiwan. The major of study is educational information, and the research field is the application of chatbots in education and training. (E-mail: [email protected])
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Cheng-Hsuan Li
Cheng-Hsuan Li received the B.S. and M.S. degrees in the Department of Applied Mathematics from National Chung Hsing University, Taichung, Taiwan, in 2001 and 2003, respectively, and the Ph.D. degree in Institute of Electrical Control Engineer-ing, National Chiao Tung University, Hsinchu, Taiwan, in 2012. He is currently the chairman and an Associate Professor with the Graduate Institute of Educational Information and Measure-ment, National Taichung University of Education, Taiwan. His research interests include pattern recognition, statistical learn-ing, machine learning, and the nonparametric cognitive diag-nosis model. He is a member of the IEEE. (E-mail: [email protected])
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Chin-Cheng Peng
Chih-Cheng Peng is the master sergeant of The 3rd Tactical Fighter Wing of ROC Air Force, Taichung, Taiwan, R.O.C. His profession of the work in ROC Air Force is turbofan engine mintenance. (E-mail: [email protected])