AI in Education
A ~30-minute playbook for school + higher-ed leaders. 6 plays, 3 anti-plays, the pedagogy-first filter, FERPA/COPPA/GDPR posture. Voice: Andrew.
8
Chapters
~30 min
Duration
Intermediate
Level
No
Certification
Who this is for
For superintendents, heads of school, provosts, deans, curriculum directors, IT and academic affairs leaders, and the teachers + faculty who own AI deployment at the classroom level.
How this course works
- 8 audio-narrated slide chapters · ~30 min of focused content
- Narrated by Andrew (Azure neural voice)
- Capstone with interactive Markdown builder you take to your team
- Trust trip-wires on every play — what not to cross
- Free verifiable certificate on completion
What you'll walk out with
Specific outcomes from this course — no fluff.
- The 6 plays that ship in education today — AI literacy, tutoring, educator support, integrity, equity, privacy
- The 3 anti-plays that harm — AI replacing teachers, surveillance-heavy AI, autonomous high-stakes grading
- The pedagogy-first filter — does this serve a learning objective, or did the vendor say it would help?
- AI literacy as a discipline — 4 components at age-appropriate sequencing from elementary through higher ed
- The supplement-not-substitute discipline for AI tutoring + the grading line for educator AI
- 3-tier academic integrity model — prohibited · permitted with disclosure · required — labelled per assessment
- FERPA · COPPA · GDPR posture + the 3 vendor contract essentials + child-safety guardrails
- 12-month school/institution rollout with 4 trust trip-wires + interactive design-doc builder
Course content
8 chapters · ~30 min
Welcome
A 1-minute orientation — what the course covers, how to navigate, and what you walk out with. No audio on this screen.
The AI in education landscape
6 plays · 3 anti-plays · the pedagogy-first filter (teachers + designers + AI specialists in the room from day one).
AI literacy as a discipline
3 reasons · 4 components (what AI is · where it works · verification · ethics) · age-appropriate sequencing.
AI tutoring and writing partner
3 working use cases · 3 disappointments · 3 design principles (supplement · bounded by teacher · explicit on limitations).
AI for educators
4 use cases that return time to teaching · the grading line · 3 failure modes (homogenisation · feedback fatigue · privacy creep).
Academic integrity in the AI era
The detection trap · 3 integrity pillars · 3-tier disclosure model (prohibited · permitted with disclosure · required).
Equity and access
The two-direction reality · 3 equity benefits · 3 equity risks (premium divide · bias · surveillance disparity).
Privacy and safety
4 regulatory frames (FERPA · COPPA · GDPR · institutional) · 3 contract essentials · child-safety guardrails.
Making it stick: your school AI roadmap
12-month rollout · 4 trust trip-wires · interactive Markdown builder for your superintendent · provost · dean.
Want this delivered inside your organisation?
The course is the starting point. The same content powers a 4-week pilot, an org-wide rollout, or a continuous build engagement — set up on your data, with your team, by Gennoor Tech.