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China's NetDragon chairman calls for AI education to boost learning in least developed countries at UN

By CHENG YU | chinadaily.com.cn | Updated: 2025-06-10 22:29
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NetDragon Websoft Chairman Liu Dejian called for international cooperation to promote inclusive, AI-driven education for the world's least developed countries at the latest high-level expert meeting at the United Nations headquarters in June. [Photo provided to chinadaily.com.cn]

NetDragon Websoft Chairman Liu Dejian called for international cooperation to promote inclusive, AI-driven education for the world's least developed countries at the latest high-level expert meeting at the United Nations headquarters.

Liu advocated for an AI plus education model that leverages artificial intelligence to improve education equity and quality in countries with limited resources.

"Many least developed countries face chronic shortages of quality teachers, classroom infrastructure, and locally relevant learning materials," he said.

Liu proposed a new concept for STEM education tailored to these countries, which includes task-based learning, embedded knowledge, practice-oriented design, dynamic updates, and adaptive content.

Liu also proposed that under UN leadership, the global tech community collaborate to develop open-source tools that can be adapted locally. He called on global STEM institutions to share certified high-quality resources and urged companies to co-design training content aligned with real-world job markets to boost employability.

According to meeting data, gross enrollment in higher education across least developed countries stands at just 11 percent, far below the global average of 40 percent, highlighting the urgent need to expand STEM capacity to fuel innovation and growth.

He said that NetDragon has made AI Education a strategic priority, building a full-process AI content production system that handles demand analysis, content creation, and database integration.

NetDragon now uses AI to generate 100 percent of its education content, cutting production time to just one hour and slashing costs to nearly 100 yuan ($13.9) per unit.

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