Document Type
Conference Proceeding
Publication Date
11-2025
Abstract
Generative Artificial Intelligence (GenAI) prompted the modernization of military instruction by improving situational analysis, expediting decisions, and understanding operational processes. Past studies highlighted the positive contribution of GenAI on military education and the challenges in the employment of the technology. However, these studies fail to identify its effect on military competencies included in the professional military education (PME). Considering the research gap, this study aims to analyze the relationship of GenAI usage and PME with mission analysis. The respondents were purposively selected to answer the validated survey. This study conducted preliminary analyses using descriptive statistics. The mission analysis (M=3.97, SD=0.436) indicated accuracy in analyzing data and showed low variation depicting strong and consistent responses. Both PME (M=2.08, SD=0.584) and frequency of GenAI usage (M=2.10, SD=0.515) indicated a slight increase from the median with low variation reflecting high consistency of responses from the participants. All the variables obtained p=< .001 showed a high statistical significance of the responses. The hierarchical regression revealed that the PME is a significant predictor in Model 1 (𝛽 =0.147, p= 0.038), but its effect becomes marginal when GenAI usage is added in Model 2(𝛽 =0.133, p= 0.064). Thus, GenAI usage has a low incremental contribution (ΔR2= 0.0063) and does not significantly predict the accuracy of mission analysis. Based on the results, this study suggests the enhancement of PME curriculum which include mission analysis in the military instruction and recommends the exploration of the effect of GenAI integration in other military competencies.
Recommended Citation
De Garcia, P. A. (2026). Relationship of professional military education and generative artificial intelligence with mission analysis [Student research paper, Ateneo de Manila University]. Archium Ateneo.
Included in
Educational Assessment, Evaluation, and Research Commons, Public Affairs, Public Policy and Public Administration Commons
