Utilization of AI in Enhancing Teachers' Instructional Materials and Work Efficiency

In response to the increasing demand for innovative instructional practices in the digital age, this action research explores the integration of Artificial Intelligence (AI) tools in enhancing teachers’ instructional materials and work efficiency among public elementary teachers in Batangas. The study was driven by the need to address limited teacher familiarity and underutilization of AI despite its global emergence in educational technology. The research aimed to determine the frequency of AI tool usage, the
perceived usefulness of AI in instructional planning, learning outcomes, and efficiency, challenges encountered, and propose a guide for effective AI integration. Employing a descriptive quantitative research design, a validated researcher-made questionnaire using a 4-point Likert scale was administered via Google Forms. Data were analyzed using weighted mean. Findings revealed that AI tools are often used, particularly for editing content, generating differentiated materials, and time-saving instructional planning. However, multimedia content creation scored lower, indicating a gap in more advanced AI use.
Respondents rated AI tools as useful across planning, learning outcomes, and efficiency. Key challenges included data privacy concerns, lack of training, and platform compatibility issues. As a result, the study proposed a comprehensive 6-month AI integration guide featuring phased capacity-building sessions, curated tools (e.g., ChatGPT, Canva AI, Quizizz), ethical protocols, and stakeholder collaboration strategies. This guide is intended to equip teachers with responsible, pedagogically sound AI practices aligned with DepEd curriculum goals. In conclusion, AI holds substantial potential to streamline instructional tasks and enhance learning, but its effectiveness hinges on ethical implementation, digital literacy, and supportive infrastructure. The study recommends ongoing professional development, ethical frameworks, and periodic evaluation of AI’s educational impact.