Relationship of Professional Military Education and Generative Artificial Intelligence with Mission Analysis

Authors

• Pinky A. De Garcia, Ateneo de Manila UniversityFollow

Document Type

Conference Proceeding

Publication Date

11-2025

Abstract

The increasing integration of Generative Artificial Intelligence (GenAI) into military education presents opportunities for supporting instructional processes and military decision-making competencies. Previous studies have examined the applications, benefits, and challenges of artificial intelligence in military education and decision-making. However, further investigation is needed to understand how GenAI usage relates to specific competencies developed through Professional Military Education (PME), particularly mission analysis. This study examined the relationship of PME and the frequency of GenAI usage with perceived mission analysis accuracy among 200 purposively selected military personnel. A quantitative, non-experimental approach was employed using descriptive statistics, correlational analysis, and hierarchical regression. The findings indicated generally favorable perceptions of mission analysis accuracy (M = 3.97, SD = 0.436). The mean PME level was 2.08 (SD = 0.584), while the mean frequency of GenAI usage was 2.10 (SD = 0.515). Correlational analysis revealed a weak but statistically significant positive relationship between PME and mission analysis accuracy (r = .147, p = .038), whereas GenAI usage demonstrated a weak, nonsignificant relationship (r = .104, p = .144). Hierarchical regression showed that PME was a statistically significant predictor in Model 1 (β = .147, p = .038), accounting for 2.16% of the variance in mission analysis accuracy (R² = .0216). However, when GenAI usage was included in Model 2, PME was no longer statistically significant (β = .133, p = .064). GenAI usage was also not a statistically significant predictor (β = .080, p = .261), contributing an additional 0.63 percentage points of explained variance (ΔR² = .0063). These findings suggest that PME has a modest positive association with perceived mission analysis accuracy, while the frequency of GenAI usage provides limited additional explanatory value. The study recommends further examination of how GenAI is integrated into military instruction and the factors associated with mission analysis 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.