Table of technical terms
Terms introduced in the playbook
| Term | Explanation | Also used in |
| Automation bias |
Accepting a machine's suggestion without independently checking it |
|
| AI Detector |
Software claiming to identify machine-written text. What it actually measures is predictability. |
1.5 |
| AI Pedagogical Competency Framework |
Structure that sorts AI-related teaching competencies into dimensions & levels and links them to outcomes & assessments. |
|
| Bias | Slants inherited from the material a system learned from and not reliably reduced by making the system bigger | 1.4, 1.5 |
| Certification pathway |
Cognitive offloading Handing mental work to something outside your head. It is useful when knowledge is in place, and damaging when it is still forming. 1.4 Competence What a teacher knows, can do & is willing to do, described so that it can be taught and checked.
Deskilling The slow erosion of professional exptertise when a tool absorbs the work through which that expertise is maintained. 1.4 Digital Badge The shareable digital form of a certificate or micro-credential.
Dimension One of the broad areas the framework is divided into, each grouping competences that belong together in practice.
False positive A correct, honest piece of work wrongly flagged. The error that damages students 1.4, 1.5 Guardrails Limits built into a system so that it supports thinking instead of replacing it. 1.4, 1.5 Hallucination Fluent, confident, false. Not a defect awaiting a patch but a consequence of how the systems generate text 1.4, 1.5
Schema Person's organised knowledge 1.4 Teaching about AI Making AI itself the subject of the lesson, so that students understand how it works & where it fails.
Teaching with AI Using AI as a tool for your own teaching work, from planning to feedback.