Everything needed to lock the plan for our RISE Scenario Competition 2026 entry: what the competition requires, what the research says, an AI consultant to pick the domains and competences, the tech-stack and style choices, and a storyboard generated from those choices.
(-C1).Full detail: briefing · RISE framework · official site
CHTL ran a Scenario Development Competition 2022 on “integrity and ethics of your discipline”. Winners were built into a virtual learning trail on Google Earth via an AR Trails app. Judges included Dr Lucia Fung (HKBU). Same “students author reusable resources” model.
This is a returning format — scenarios that can be replayed and adapted fit their long-term plan.
For exploratory scenarios, aim for ~7 decision points per path; short failure paths are fine for egregious mistakes; let learners go back; test with a few real learners early. She notes 3–4 decisions often feel “short and shallow”.
Tension: the competition mandates two levels. Do the two levels precisely; put depth into ambiguity + debriefs.
Our own HTML → Playwright → ffmpeg pipeline produces the MP4 deliverable.
Full write-up: projects/Scenario/research.md
Choose the life area the story lives in and the kind of pressure the character faces. The consultant maps that to RISE domains and competences (respecting the ≤2 / ≤4 limits), drafts a topic and a starter branch skeleton, and gives you a prompt you can paste into an LLM for a second opinion.
Pick an area to get recommendations →
One choice per group. Your selections are saved locally and feed the storyboard and the decision record.
Built from the consultant choice + style decisions. Edit freely, then copy or download it for the student.
A single record of the choices made here — the starting point for build and iteration.