Innovation in the Development of School Curriculum Integrating Soft Power through AI Technology: Guidelines for Enhancing Student Identity as Local Cultural Conservationists

Pichayapha Yuangsoi, Peeradech Boonrod — Tue, 30 Jun 2026 00:00:00 +0700

This academic article presents an approach to developing a school curriculum that aligns with the core curriculum of basic education. The focus is on integrating Soft Power, emphasizing the incorporation of local strengths from the surrounding area into the school's educational management. Additionally, artificial intelligence (AI) technology is leveraged to design and enhance a curriculum that strengthens local cultural identity within the context of a digital society. Integrating AI with the Soft Power concept elevates the transmission of knowledge and cultural values, encouraging students to become both preservers and innovators of cultural heritage. This integration also effectively expands the influence of local identity to the global stage. Moreover, establishing collaboration networks among schools, communities, and technology sectors fosters a learning ecosystem that sustainably supports the preservation and promotion of local cultural identity in the digital era. The curriculum development process follows Taba's seven-step model, a grassroots approach based on the belief that curricula should be designed primarily by teachers rather than higher-level organizations. This ensures that the developed curriculum originates from actual users. AI-driven curriculum specialists, equipped with data analysis and contextual understanding capabilities, assist in crafting a well-rounded school curriculum. This enables effective learning management that fosters students' knowledge, ethical development, and deep-rooted appreciation for their local heritage.

Journal of Local Social Innovation and Development

Innovation in the Development of School Curriculum Integrating Soft Power through AI Technology: Guidelines for Enhancing Student Identity as Local Cultural Conservationists