Teachers’ Competence in Using AI Tools Through Capacity-Building For Effective Learning Delivery

Abstract

This action research entitled “Teachers’ Competence in Using AI Tools through Capacity-Building for Effective Learning Delivery” aimed to determine the level of teachers’ competence in using AI tools in terms of understanding AI concepts, operational proficiency, ability to integrate AI into academic tasks, and confidence in applying AI within educational settings. The study also examined the effectiveness of AI tools in learning delivery with respect to lesson preparation, classroom engagement, and assessment and feedback, explored how capacity-building activities enhance teachers’ competence, and identified the challenges teachers encounter in using AI tools.

The findings revealed that teachers are generally competent in using AI tools, particularly in understanding AI concepts, exploring new applications, and guiding students in responsible use. Nevertheless, confidence in applying these tools and their practical integration into classroom activities remain areas for further development. Moreover, AI tools demonstrated high effectiveness in lesson preparation, as they assist teachers in generating instructional content, organizing lesson plans, and developing varied resources. In contrast, their use was only moderately effective in enhancing classroom engagement and providing timely assessment and feedback. Importantly, capacity-building activities, including hands-on demonstration sessions, peer coaching, mentoring, and instructional guides, played a significant role in improving teachers’ operational skills, confidence, and overall competence in using AI tools. However, key challenges such as time constraints, limited access to updated AI resources, insufficient training, and technical issues continue to affect the smooth implementation of AI-supported instruction.

Based on these findings, capacity-building activities were proposed to strengthen teachers’ knowledge, operational skills, and confidence, including structured training workshops, collaborative mentoring, hands-on practice sessions, and provision of accessible instructional guides. These interventions aim to support sustainable, ethical, and effective integration of AI tools in teaching and learning.