AI in the Higher Military Institutions: Challenges and Perspectives for Military Engineering Training

IF 0.2 0 HUMANITIES, MULTIDISCIPLINARY

Rupkatha Journal on Interdisciplinary Studies in Humanities Pub Date : 2023-12-14 DOI:10.21659/rupkatha.v15n4.11

Viktor Chmyr, Nataliya Bhinder

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引用次数: 0

Abstract

Recognizing the peculiarities of the current system of military education and considering the necessity of rapid modernization of military engineering training, HMIs need to implement innovative technologies to enhance the educational process. The purpose was to present a detailed analysis of the implementation of AI technologies while training future military engineering officers, to outline the existing strategies, and to develop possible strategies to enhance the educational process through AI technologies. To achieve the research purpose, we conducted open and closed-ended surveys among 154 instructors through five questionnaires to address the research questions. The answers were studied using conventional content analysis and statistical data processing. The results revealed basic directions for using AI in military engineering training and possible AI applications for the formation of professional competencies among future military engineering officers. But, meanwhile, the findings indicate that the process of military engineering training is facing several challenges complicating the implementation of AI-driven transformations. To overcome the existing challenges of AI and elaborate the applicable recommendations for the implementation of AI in the HMIs, we outlined the strategies for the enhancement of military engineering training through AI technologies.

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高等军事院校中的人工智能：军事工程训练的挑战与前景

认识到当前军事教育体系的特殊性，并考虑到军事工程培训快速现代化的必要性，人机界面需要采用创新技术来加强教育过程。我们的目的是详细分析在培训未来军事工程军官时人工智能技术的实施情况，概述现有策略，并制定通过人工智能技术强化教育过程的可行策略。为实现研究目的，我们通过五份问卷对 154 名教官进行了开放式和封闭式调查，以解决研究问题。我们采用传统的内容分析法和数据统计处理法对答案进行了研究。结果揭示了人工智能在军事工程训练中应用的基本方向，以及人工智能在未来军事工程军官专业能力培养中的可能应用。但与此同时，研究结果表明，军事工程训练过程正面临着一些挑战，使人工智能驱动的转型实施变得更加复杂。为了克服人工智能目前面临的挑战，并为人工智能在人机界面的应用提出建议，我们概述了通过人工智能技术加强军事工程训练的策略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Rupkatha Journal on Interdisciplinary Studies in Humanities HUMANITIES, MULTIDISCIPLINARY-

自引率

0.00%

发文量

129

审稿时长

8 weeks

期刊介绍： “The fundamental idea for interdisciplinarity derives” as our Chief Editor Explains, “from an evolutionary necessity; namely the need to confront and interpret complex systems…An entity that is studied can no longer be analyzed in terms of an object of just single discipline, but as a contending hierarchy of components which could be studied under the rubric of multiple or variable branches of knowledge.” Following this, we encourage authors to engage themselves in interdisciplinary discussion of topics from the broad areas listed below and apply interdsiciplinary perspectives from other areas of the humanities and/or the sciences wherever applicable. We publish peer-reviewed original research papers and reviews in the interdisciplinary fields of humanities. A list, which is not exclusive, is given below for convenience. See Areas of discussion. We have firm conviction in Open Access philosophy and strongly support Open Access Initiatives. Rupkatha has signed on to the Budapest Open Access Initiative. In conformity with this, the principles of publications are primarily guided by the open nature of knowledge.