University of Copenhagen · Center for Digital Education

AIPLA

AI in Physics Learning and Assessment

A three-year research programme investigating how generative AI can be meaningfully integrated into upper-secondary physics education in Denmark. This site collects the working plan for the four-month technical-infrastructure contract within it.

Pages

  • About — project context, the ADDIE method, the four research questions, intended outputs
  • Strands — the three work strands (pedagogical bots, simulation/games, scoping investigation) and how they map to the timeline
  • Examples — real artefacts a project teacher made with GenAI before AIPLA existed: a live interactive projectile sim, a Socratic system prompt, and AI-misconception illustrations
  • Timeline — 17-week plan, the three overlapping tracks, the handover fan-out, ownership map
  • Architecture — ADRs for Strand A: cloud provider, region, model, RAG store, routing layer, multimodal, student auth, AILANG disclosure
  • Evaluation — capability-floor framework: task taxonomy, model panel, KPIs that drive routing and the local-deployment migration timeline
  • Self-hosting — UCPH migration table: cloud components and their on-premises equivalents

People referenced by initials throughout (M, JB, AR, DS, ZL, P2, K) for light anonymisation — the team knows the mapping.

Design principles

GDPR by design

EU-hosted infrastructure. No PII leakage to US providers where avoidable. Solutions hold up to UCPH data-protection review and to teachers’ and parents’ scrutiny.

Model-agnostic routing

Production chooses models per task class based on continuous capability-floor evaluation. Cloud APIs and local models are interchangeable through configuration.

Migration-ready

Every cloud component has a documented on-premises equivalent. Hosting can move to the University of Copenhagen’s own infrastructure when capability and policy align.

Handover as a first-class deliverable

Documentation, pairing, and ADR sign-offs from week 4, not week 13. Each major artefact has a named co-owner who will operate it after the contract.

Status

Week 3 of build phase. v0.1 deployed 2026-05-20 (Boldkast projectile motion tutor + simulator, live demo). Post-Jutland sprint (2026-05-27) has shipped: teacher UI (class management, activity configuration, session reports), teacher permission model, lesson picker, LED Planck virtual lab (second physics skill), proactive tutor greet, and commit-on-submit workbench state. KineBot (third skill, NCERT/CBSE kinematics) and session persistence are next. Mid-point review gate: 2026-06-26. Teacher pilots begin mid-August when Danish teachers return from summer.