Student Perspective
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Human intelligence, amplified by AI
Education in Motion is defining what excellent teaching and learning looks like in the age of AI: pedagogy-led, evidence-aware and delivered at scale across our network of schools. Our long-standing commitment to whole-child education remains our foundation, but with AI we are extending horizons, broadening imaginations and stretching intellects further for all our community.
What Defines our Approach to AI
Teacher excellence, systematised. Our bespoke Teaching Competency Framework, AI Your Way professional learning and specialist EdTech coaches translate strategy into classroom practice. The outcome is AI-enriched pedagogy, not tool-chasing.
- Students should not ‘just’ use AI, but think critically with it. We equip students to lead with AI wisely. Our age-sequenced AI Critical Thinking Curriculum launches August 2026, building habits of safe, critical, and informed use from Junior through Senior School.
- We built for AI long before it arrived. Years of investment in connected platforms and integrated data systems allow seamless, secure deployment of AI where it genuinely improves learning or efficiency.
- Effective learning is relational. Collaborative intelligence as our ‘Golden Thread’ is used to strengthen relationships, dialogue, and collective problem-solving. It enhances teacher judgment and student agency rather than replacing either.
- Evidence not fashion. Our approach is shaped by research in partnership with Educate Ventures Research and Professor Rose Luckin, enriched with action-research pilots and independent challenge to claims. Adoption is purposeful, age-appropriate and evaluated.
- Safety built into culture. Mandatory annual AI Safety training (from August 2026) complements EiM’s already world-class safeguarding infrastructure, ensuring innovation is matched by vigilance.
Examples of AI in Practice
- Our Suzhou students recently rewrote their high school musical using AI. Instead of licensing a traditional musical (sometimes culturally inaccessible for students), students and teachers co-created an original work, using AI for ideation, narrative structuring, lyric-to-music translation and stylistically guided song drafts. The use of AI meant much higher student ownership (a student-written song made the final show), and stronger creative autonomy.
- Just-in-time interactive learning apps: our teachers are rapidly building single-purpose web apps (e.g., French prepositions, spelling progressions, food-chain simulators, physics concept explorers) in hours, aligning scaffolds to precise lesson needs and enabling immediate feedback.
- Curriculum-aligned tutor chatbots: Departments are deploying course-specific chatbots trained only on vetted materials and assessment language, quickly becoming a go-to for essay planning, study guides, and exam-question modelling.
Teacher-led AI Practice
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- Bespoke local analysis tools: Teacher-built, locally run apps support sensitive data analysis (e.g., reports, pastoral, cover) for faster pattern-spotting and personalised support.
- Staff adoption diagnostics A teacher-designed survey segmented 52 educators by practice, integration, and friction, revealing trust/knowledge as primary blockers and enabling targeted professional development.
- Voice-notes to actionable feedback in English: AI is being used to analyse whole-class patterns and generate personalised improvement tasks, increasing speed, precision and student uptake of feedback.
- In-house adaptive chatbots for literacy: Curriculum-trained Socratic tutors supporting lower reading ages and AEN/EAL learners, with term-to-term improvements observed.
- Lesson analytics for teacher coaching: AI-assisted analysis of lessons is helping teachers continuously improve their delivery and questioning techniques.
Professional Learning
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Professional learning powers disciplined execution. Through AI Your Way, the Teaching Competency Framework, peer-led coaching, year-round collaborative forums, and Educate Ventures-guided action research, we are building capability in step with strategy. Mandatory AI Safety training embeds a common floor of safe practice. This infrastructure enables rapid, coherent and safe scaling of AI-enriched teaching across schools.
Notes on Claims and Evidence
All examples above are drawn from documented school practices and internal research papers. Where outcome data are correlational or early-stage, we state this explicitly; we do not attribute causation unless independently verified.