The overview page tells you what the platform does. These tell you how to actually do it — one for convincing your institution, one for running a course, one for publishing from it. Each is written to be read start to finish in one sitting, and to be forwarded to someone who was not in the room.
How to explain the platform to a colleague, a head of department or an IT office — and what adoption actually involves at each level.
Anyone who has to justify this to someone else.
From an empty account to a finished semester: getting a course, writing the assistant, letting students in, and reading what comes back.
Teachers who have decided to try it and want the operational detail.
What data exists, which ethics case you are in, how it leaves the platform, and what to write in your methods and limitations.
Researchers who intend to publish.
There is more documentation on this platform than any one person needs. This table is the shortest way to the right one.
| If you want to… | Go to | Language |
|---|---|---|
| See what the platform does at all | AI teaching overview | 16 languages |
| Explain it to a colleague, a department or an IT office | Outreach handbook | 16 languages |
| Set up and run your own course | Teaching handbook | 16 languages |
| Design a study and publish from it | Research handbook | 16 languages |
| Read the exact method behind an analysis, for a methods section | Methodology notes | Chinese |
| Read the full research-governance policy | Labs and research projects | Chinese |
| Follow click-by-click instructions with screenshots | Teacher quick-start guide | Chinese |
| See the peer-reviewed evidence | Publications (19) | Mixed |
The Chinese documents are older and more detailed, because the platform grew up in Taiwanese higher education. Where a handbook and a Chinese policy document disagree, the policy document — /doc/labs for research governance — is the authoritative one, and we would like to know about the discrepancy.
They will not claim a learning gain. Nothing on this platform is sold, so nothing here is written to close a sale: where the honest answer is "this may not suit you", the handbooks say so, and each one ends with a chapter of limitations rather than a call to action. The evidence claims live in the 19 peer-reviewed papers, where they can be checked.
Currently running across 21 higher-education institutions, 4,400+ learners and 420,000+ learning interactions.
International overview · AI teaching · Publications · [email protected]