KBSI 2026
Re-envisioning Education Through Knowledge Building-AI Innovation.
March 24th-27th, 2026.
Nanjing, China.
As education enters the era of generative artificial intelligence (AI) amid accelerating global, social, and technological change, educators worldwide face unprecedented challenges — not only in adapting classroom practices to AI‑driven designs and pedagogies, but also in redefining goals and re‑envisioning education and innovation.
Key Events
The 2026 KBSI will be held both onsite and online for international participants and local Chinese participants. KBSI will take place at the following on-site venues.
March 26-27, 2026: Nanjing Normal University Affiliated Hanjiang Experimental School, which will open its classrooms, including virtual visits to both international and local participants
March 24-25, 2026: Nanjing Normal University, hosting invited talks, paper presentations, panel discussions, and researcher-teacher dialogues
Knowledge Building
Knowledge Building is a seminal model in the learning sciences spanning more than four decades. Knowledge Building has transformed research and practice in how people learn, create, and advance collective knowledge for the public good.
Grounded in the core ideas of collective cognitive responsibility and sustained idea improvement, the Knowledge Building model has supported enduring research and innovation across countries, sectors, age groups, educational levels, and professional communities.
In the AI era, Knowledge Building has become more significant than ever, offering a new lens on the epistemic roles of knowledge, learner agency, creativity, and infra-structuring. It is well-positioned to provide new goals, frameworks, principles, and pathways for human–AI co‑creation of knowledge and transformative practice to drive systemic change.
Conference Themes
We invite participants to engage in collective inquiry around these themes:
- Synergizing and using Knowledge Building to inform related research on generative AI and educational innovations (e.g., STEM, design thinking), expanding the ecosystems for systemic educational change.
- Examining teacher innovative practices for AI-augmented knowledge building and advancing infrastructuring for systemic innovation
- Advancing and supporting foundational and systemic Knowledge Building in the AI era.