Knowledge Building Community Network Learning (KBCNL) @ The POD, National Library Board
We have recently concluded a vibrant session of the Knowledge Building Community Network Learning (KBCNL) at The POD @ National Library. Themed around AI and Learning Analytics in Education, the event brought together more than 80 educators and researchers committed to deepening pedagogical practices through the lens of Knowledge Building (KB) principles. The event started with Dr Teo Chew Lee’s brief introduction of KB and its potential in classroom practices.
The session featured two thought-provoking sharing sessions:
Facilitate Students’ Knowledge Building and Supportive Emotions through Emotion Analytics and Socially Shared Emotion Regulation (by Prof Zhu Gaoxia and Mr Andy Ng)
Leveraging Knowledge Building Principles to Design a Gen AI-Supported Fair Bot and Curriculum for Science and Chinese Language Lessons (by Dr Katherine Yuan, Mr Han Zhijin and Mr Raymond Chan)
Those sharing sessions were guided by KB principles such as Rise Above, Improvable Ideas, Transformative Assessment, and Community Knowledge / Collective Responsibility. Following the sessions, participants engaged in collaborative discussion groups, exploring the question:
“As a community of KB practitioners and researchers, what pedagogical strategies can we co-design that leverage information from emerging technologies to support students’ knowledge building?”
Two focus areas framed these discussions—chatbots for metacognition and emotion analytics—with participants applying the PIC model (Passive, Interactive, Creative) to guide their thinking on technology integration in classroom practice and derive possibilities of creative implementations to using KB to level up their classroom practices.
Key Takeaways
Designing for Creative Use of Technology in the Classroom
Participants moved beyond passive or interactive applications of technology to co-develop strategies that place students in creative, generative roles—positioning them as knowledge builders.
Leveraging Emerging Technologies to Support Metacognition and Emotion-Aware Learning
The discussion groups surfaced practical examples of how tools like chatbots and emotion analytics could cultivate student reflection, regulation, and emotional awareness as part of the learning process.
Co-Designing Knowledge Building Practices Anchored in Collective Responsibility
Through collaborative reflection, participants envisioned pedagogical practices that embraced community knowledge advancement, affirming the importance of collective responsibility in meaningful knowledge creation.
This event marked another step toward growing a sustained community of practice that bridges research and classroom innovation. We look forward to future opportunities to build on these conversations and co-design practices that push the boundaries of learning together.
