Towards a Tailored AI Policy Framework: A Cross-Sectional Analysis of Factors Influencing AI Integration in Science Education at SDO Valenzuela
Keywords:
artificial intelligence, AI integration, science education, AI policy frameworkAbstract
As the integration of artificial intelligence (AI) in education continues to advance, many schools still lack a localized policy framework that aligns with the specific institutional needs borne out of Industrial Revolution 4.0. Without a tailored framework, science teachers and administrators are left with limited guidance on how AI should be appropriately adopted and managed in their contexts. To address this concern, this study examined the factors shaping science teachers’ and administrators’ readiness to integrate AI in science education. Using a cross-sectional design, data were collected through a survey questionnaire administered to both public and private school science teachers in Schools Division Office (SDO) of Valenzuela. The instrument consisted of both researcher-made items and items adopted from various studies, and employed a five-point Likert scale with open-ended feedback for each construct. Descriptive statistics were used to summarize the data, exploratory factor analysis (EFA) to identify underlying constructs, and multiple linear regression analysis (MLRA) to determine the factors influencing AI integration. Results from the EFA revealed four key dimensions influencing AI integration: perceived and behavioral readiness toward AI, knowledge and environmental context, organizational readiness, and ethical and responsible AI use. MLRA indicated that perceived and behavioral readiness toward AI was the strongest positive predictor of readiness, while organizational readiness showed an inverse relationship. Qualitative responses highlighted the importance of professional development, institutional support, and ethical considerations in adopting AI. Synthesizing these findings, the study developed a tailored AI Policy Framework designed to guide responsible and sustainable AI integration in science education.
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