Educators / Teaching Advantage with AI

Professional learning · Whole-school K–12

Teaching Advantage with AI.

Work with AI, not from it. Two professional-learning tracks that turn AI into practised classroom routines – you build for a real class, and keep what you make.

Teachers everywhere already use AI – but often as an answer machine that quietly does the thinking, or as a workload gamble that trades judgement for speed.

Teaching Advantage with AI flips both: staff learn to use AI the way it earns its place in a school – to protect learning where the thinking matters, and to give real time back where the evidence is strongest. Every session ends with build time on one real class or load you carry, so you leave with something you'll actually use.

Built on Creative AI Group's Gradual Release and Age & Stage frameworks, adaptable to your school's own tools – and mapped to the Australian Professional Standards for Teachers, with hours you can log toward maintenance of accreditation.

Two tracks, one through-line

  • The Learning Track – keep the thinking. Six sessions, a ready-to-run AI-Ready Unit.
  • The Workload Track – keep the judgement. Five sessions, a Workload Kit you reuse.
  • ~1-hour sessions, standalone or as a set, K–12, any starting point.
  • ~5–6 hours each toward maintenance of accreditation.

The Learning Track

Teach with AI, not from it – keep the thinking.

Six one-hour PL sessions. One real class. Six things you build, own and keep – a ready-to-run AI-Ready Unit by the end.

Session 1 · Radar

Know your AI

How AI works and why it's confidently wrong – and the question that runs the whole series: who's doing the thinking?

Build: an AI map of your class + a confidently-wrong hook
Session 2 · Coach

Study with AI, not from it

Teach students to learn with the machine – guided tutoring that withholds the answer, built on the six moves.

Build: a guarded study routine for your class
Session 3 · Two lanes

Validity, not cheating

Redesign a task so it still measures what it claims – secured vs open lanes, plus the red lines for honest use.

Build: a redesigned assessment task + its rules
Session 4 · Release

Where the work lands

Place AI with gradual release – I do, we do, you do – so the cognitive work stays with the student.

Build: a scaffolded AI lesson for a key skill
Session 5 · Loop

Feedback that teaches

Use AI as a feedback source, not a grader – faster, formative, and always human-owned.

Build: a feedback loop your students actually use
Session 6 · Stage

The right tool at the right stage

Differentiate K–12 by developmental and NESA stage – EAL/D, extension, Life Skills, and a non-AI route.

Build: stage-banded versions for your class

Staff walk away with a ready-to-run AI-Ready Unit, the judgement to place AI where it helps, assessment that stays valid – and ~6 hours toward accreditation.

Learning Track brochure

The Workload Track

Draft with AI, decide for yourself – keep the judgement.

Five one-hour PL sessions. One real load. Five reusable workflows you keep – a Workload Kit, and real time back that holds up to scrutiny.

Session 1 · Toolkit

Draft with AI, decide for yourself

The durable skill isn't prompt recipes – it's task decomposition, context and verification. Safe tools first.

Build: your prompt library + a safe-tool decision card
Session 2 · Planner

Plan it in half the time

Curate, not adopt – AI drafts, you decide. The evidence-backed win, minus the weak default lesson.

Build: a drafted-then-redesigned unit you teach
Session 3 · Leveller

One resource, every learner

Level texts, build parallel tasks, translate – with the human check that keeps rigour and vocabulary intact.

Build: one resource in three levelled versions
Session 4 · Red pen

Feedback without the weekend

AI drafts feedback you own and edit – never the sole marker. Structured feedback is the active ingredient.

Build: a rubric + feedback workflow you control
Session 5 · Comms

The words that eat your week

Emails, newsletters, report comments, family translation – where AI rates highest – with a privacy guardrail.

Build: a report-comment / newsletter workflow in your voice
The through-line

Draft with the machine. Decide for yourself.

Approved tools first – never real student data in a consumer chatbot. We build habits that give real time back and hold up to scrutiny, not "six weeks a year" hype.

Staff walk away with a Workload Kit, real time back on planning, resources, feedback and comms, the judgement to verify – and ~5 hours toward accreditation.

Workload Track brochure
Fit & accreditation

Mapped to the Australian Professional Standards for Teachers and structured around the Australian Framework for Generative AI in Schools.

Provides ~5–6 hours per track that teachers can log toward maintenance of accreditation / registration – self-recorded with NESA, VIT, QCT and equivalents.

How it works
  • ~1-hour PL sessions – run standalone or as the set, spaced across a term.
  • Resources provided: facilitator deck, prompt cards / library, and the workbook.
  • Build time every session on one real class or load you carry.
  • Whole-school K–12, any starting point – no technical experience assumed.

Book a pilot this term.

Run one session with a faculty, measure the difference, then expand. Every enquiry starts with a free consultation.