← Back to catalogue

AI & digital

Bias, Data and Algorithms

Skills Hub

trailer about video

Bias, Data and Algorithms preview

Mux slot placeholder. Final about videos switch to hosted playback IDs in the Supabase adapter.

Placeholder poster until Mux playback IDs are wired

Designing simple AI systems and interrogating them — where data comes from, how bias enters, who is affected.

Self-pacedSecondary (11–16)8 weeks1-2 hours per weekMoE AI · Cycle 2 (ages 11–14)

Enrolment options

Start an individual enrolment with simulated payment, or join through a school licence code.

Start individual enrolmentJoin with school code

What you'll make

  • A finished piece: an AI-enabled practical project.
  • A planning and reflection note tied to Bias, Data and Algorithms.
  • Completion-ready evidence for school and parent reporting.

Qualification pathway

1

Course completion with practical skills artefacts

2

Facilitator feedback with progress reporting

3

Skills course only - no qualification attached yet

Upcoming live dates

Live dates are published at enrolment.

Instructor

Dr Hana Kobayashi

Curriculum Lead, AI & Digital

Computer scientist and teacher. Writes the AI syllabi and keeps the tool names out of them on purpose.

For schools

License Bias, Data and Algorithms for your class

  • Cohort enrolment for Secondary (11–16) with teacher visibility by learner.
  • Seat usage and progress reporting aligned to school licence tracking.
  • Supports quality-assured completion reporting for teachers and parents.
Request school licensing