The State of AI Readiness: Age, Education, and Perceived Competence Among Science Teachers in Davao de Oro

Clyde Evan Gines

doi:10.63363/aijfr.2025.v06i06.2672

The State of AI Readiness: Age, Education, and Perceived Competence Among Science Teachers in Davao de Oro

Author(s)	Mr. Clyde Evan Gines
Country	Philippines
Abstract	This study addresses the critical challenge of AI integration in non-urban Philippine settings by assessing the readiness of Science teachers in the Division of Davao de Oro. Global literature indicates high teacher optimism regarding AI but notes significant implementation failure due to structural and training deficits. This research quantitatively mapped the influence of teacher profile characteristics on their perceived AI readiness, bridging a critical gap in localized empirical data needed for evidence-based policy formulation. The study determined the profile of the Science teachers, assessed their level of AI readiness across five critical dimensions (Competence, Resources, Training, Attitudes, and Barriers), and tested the significant relationship and difference between demographic variables and overall readiness. Methods: A descriptive-correlational design was employed using a standardized 35-item Likert Scale survey. Data analysis utilized descriptive statistics (Mean, SD), Pearson's r for continuous variables (Age, Years in Service), and One-Way ANOVA for categorical variables (Highest Educational Attainment). Results: Teachers showed Overall High Readiness (Mean=3.57), driven by high Attitudes (Mean=4.04). However, this was critically hampered by Moderate Readiness in Resources (Mean=3.17) and Professional Development (Mean=3.10). A statistically significant, weak negative correlation was found between Age and readiness (r=-0.178, p<0.05), but no significant difference was found across educational attainment groups (p=0.282). AI readiness is high in disposition but low in structural support. The Division must pivot strategy from attitude reinforcement to targeted investment in infrastructure and subject-specific AI literacy training, as general experience and academic degrees are not predictors of technological preparedness.
Keywords	AI Literacy, AI Readiness, Correlational Study, Davao de Oro, Digital Divide, Professional Development, Science Teachers
Field	Sociology > Education
Published In	Volume 6, Issue 6, November-December 2025
Published On	2025-12-23
DOI	https://doi.org/10.63363/aijfr.2025.v06i06.2672
Short DOI	https://doi.org/hbg7bh

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The State of AI Readiness: Age, Education, and Perceived Competence Among Science Teachers in Davao de Oro

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