The Future of Teacher Professional Development: Implementing AI-Driven Microlearning in Southeast

Abstract

The rapid advancement of artificial intelligence (AI) and the growing demand for continuous professional development have transformed the educational landscape in Southeast Asia. Traditional teacher training models are often lengthy, rigid, and inaccessible for educators in remote or under-resourced areas. AI-driven microlearning offers a promising alternative by delivering personalized, bite-sized learning experiences that can be accessed anytime and anywhere. This study aims to explore the potential of AI-driven microlearning platforms as an innovative solution for teacher professional development (TPD) in Southeast Asia, addressing issues of accessibility, relevance, and engagement. A mixed-methods research design was employed, combining a systematic literature review with qualitative interviews involving 20 education policymakers and teacher trainers from Indonesia, Malaysia, the Philippines, and Thailand. Additionally, a pilot implementation of an AI-based microlearning application was conducted with 150 teachers in rural and urban schools over three months. Data were analyzed using thematic analysis and descriptive statistics. The findings indicate that AI-driven microlearning significantly enhances teacher engagement, improves access to relevant content, and supports adaptive learning paths based on individual needs. Policymakers and educators recognized the scalability and cost-effectiveness of AI-powered solutions for national TPD programs. However, challenges such as digital infrastructure disparities, data privacy concerns, and the need for localized content remain critical issues for large-scale adoption. AI-driven microlearning has the potential to reshape the future of teacher professional development in Southeast Asia by providing flexible, inclusive, and personalized learning opportunities. Strategic collaboration between governments, tech developers, and educational institutions is essential to address existing barriers and maximize its impact.