Beijing Fengtai Launches City's First AI Future Learning Space Covering K-12 AI Labs and Future Classrooms
During the 2026 China International Fair for Trade in Services, the Beijing RISC-V Digital Infrastructure Innovation Center, together with Zhongguancun Fengtai Park company Beijing Beinengda, launched the city's first AI Future Learning Space at the education services exhibition area, presenting a complete EPC turnkey delivery. Built on the RISC-V open-source technology ecosystem, the space integrates domestic computing power into basic education teaching scenarios and creates two core scenarios: a K-12 artificial intelligence laboratory and a future classroom. The laboratory covers four teaching scenarios: labor and technology courses, AI interactive physics, chemistry and biology experiments, general AI courses, and embodied intelligence innovation.
The space binds domestic computing power and an open instruction set architecture to K-12 teaching scenarios, offering schools a replicable packaged path for procuring AI laboratories; its deployment scope and subsequent adoption will shape the direction of regional education digital infrastructure choices. For product practitioners, combining a student-side AI learning companion with a teacher-side AI teaching companion means learning data collection and differentiated instruction tools are bundled into one solution; for schools and teachers, the reconfigurable one-room-multi-use space and AI scoring and correction functions directly change how lab and general courses are organized. Public information currently comes only from the fair display and the builder's statements, with no independent teaching effectiveness evaluation or large-scale adoption data. Schools can obtain a packaged AI laboratory and future classroom solution built on RISC-V domestic computing power, with procurement and deployment compressed into an EPC turnkey model. The teacher-side AI teaching companion handles lesson preparation, homework grading, and learning analysis, while the student-side AI learning companion provides personalized paths, shifting teaching task division and data flows.