Learning outcomes
Skills you can use and explain.
Every result combines practical use, human review and evidence that another person can check.
- 01
Evaluate whether an AI use supports a genuine learning purpose.
- 02
Design age-appropriate, privacy-conscious classroom activities.
- 03
Set assessment and disclosure rules that preserve learning validity.
- 04
Identify safeguarding, bias, accessibility and inclusion risks.
- 05
Review an education AI vendor and its data practices.
- 06
Create a school AI-use charter with clear ownership and review points.
Course pathway
Purpose. Pedagogy. Protection. Policy.
Each module turns broad AI ideas into classroom practice and clear school decisions.
Module 01Learning purpose and teacher agency+
- Start with the learning problem
- Pedagogical use-case test
- Purpose-before-tool decision
Module 02Assessment and academic integrity+
- Protect the validity of assessment
- Assessment redesign lab
- Detection-score decision
Module 03Safeguarding, data and inclusion+
- Child-centred AI practice
- Education vendor challenge
- Safeguarding escalation
Module 04School policy and adoption+
- Policy must become practice
- School AI-use charter capstone
- Policy-change decision
Designed for
People who need to make better technical decisions.
Best suited to
- Teachers, lecturers and instructional designers
- School principals and leadership teams
- Assessment, safeguarding and ICT leaders
- Governing bodies shaping responsible school adoption
Preparation
- Bring current assessment, safeguarding and acceptable-use policies
- Use synthetic pupil examples during practical work
- Identify one proposed or existing education AI tool
- No technical or coding background is required
Use-case test
Connect an AI idea to a learning outcome.
Assessment redesign
Preserve validity and student authorship.
Vendor screen
Challenge data, safety and inclusion claims.
School charter
Turn principles into operating decisions.
Group and in-house training

