Making Student Data Actionable

HK$0.00

Peer-to-Peer Event Learning Report

A practical guide on transforming student data from a compliance or reporting exercise into an active tool for classroom inquiry and instruction. This report details how international schools can demystify data, build staff confidence, and ground analytics in empathy and student narrative.

  • Core Focus: Building a collaborative, emotionally safe school culture where data serves as a transparent tool for growth rather than judgment.

  • Key Insight: Data must tell a story, not just show a score. Raw numbers become genuinely actionable only when paired with student voice, teacher observations, and broader context—such as language levels and native language—to uncover root learning causes. Furthermore, data should be used with students to foster self-assessment and agency, rather than simply executed on them.

  • Practical Tools: Features the five-stage AISG Data Protocol (Facts, Analyze, Celebrate, Target, Steps) for consistent team analysis. Includes frameworks for school-wide inclusion models (such as CLIL and Universal Design for Learning) and the International School of Beijing’s roadmap for shifting from rigid, twice-yearly SEL snapshots to pulse check-ins embedded in daily morning routines.

  • Best for: School leaders, data/learning technology coordinators, division heads, and classroom teachers.

September 2025 | Guangzhou, China

Peer-to-Peer Event Learning Report

A practical guide on transforming student data from a compliance or reporting exercise into an active tool for classroom inquiry and instruction. This report details how international schools can demystify data, build staff confidence, and ground analytics in empathy and student narrative.

  • Core Focus: Building a collaborative, emotionally safe school culture where data serves as a transparent tool for growth rather than judgment.

  • Key Insight: Data must tell a story, not just show a score. Raw numbers become genuinely actionable only when paired with student voice, teacher observations, and broader context—such as language levels and native language—to uncover root learning causes. Furthermore, data should be used with students to foster self-assessment and agency, rather than simply executed on them.

  • Practical Tools: Features the five-stage AISG Data Protocol (Facts, Analyze, Celebrate, Target, Steps) for consistent team analysis. Includes frameworks for school-wide inclusion models (such as CLIL and Universal Design for Learning) and the International School of Beijing’s roadmap for shifting from rigid, twice-yearly SEL snapshots to pulse check-ins embedded in daily morning routines.

  • Best for: School leaders, data/learning technology coordinators, division heads, and classroom teachers.

September 2025 | Guangzhou, China