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Good practice Imported

WA ClassmAIte — Western Australia's Government-Funded AI Platform Cutting Teacher Workload

Australia · Perth · See the Australia profile

Evidence: Descriptive / self-reported Top 43% 53/100 · Ask Evidence Copilot about this practice

Western Australia's government-funded ClassmAIte platform helps public, Catholic and independent school teachers draft lesson plans and materials. Backed by AU$4.6m in the 2026/27 budget, it grew from 60 toward 100+ schools; full evaluation due 2027.

60 schools
Schools participating (mid-2026)
100 schools
Target school participation (2026/27 budget extension) (by 2027 school year)
4.6 AU$ million
Additional funding committed, 2026/27 state budget
WA ClassmAIte — Western Australia's Government-Funded AI Platform Cutting Teacher Workload

Details

Maturity
Scaling
Promoter
Western Australian Department of Education
Period
July 2024 – ongoing (extended through 2027 school year)
Keywords
K-12 education, government policy, teacher workload, public schooling

Context

Western Australia's Department of Education launched the ClassmAIte platform in July 2024 under the joint state–federal Workload Reduction Fund, giving teachers a chat-based tool to draft lesson sequences, plans and classroom materials.

Objectives

The platform aims to reduce teachers' time spent on lesson preparation outside class hours, while keeping teachers in control of the final content through editable AI-generated outputs.

Activities

By mid-2026 the pilot covered 60 public, Catholic and independent schools, co-developed with the WA Department of Education, Catholic Education WA and the independent-schools association. The WA Government committed a further AU$4.6 million in the 2026/27 state budget to extend the programme through the 2027 school year and grow participation to more than 100 schools.

Results

Premier Roger Cook and Education Minister Sabine Winton described the programme's early results as strong, citing reduced time spent on lesson preparation, but no independent, quantified evaluation of learning or workload outcomes has been published; current claims of impact rest on government and teacher testimony rather than measured results.

Conclusions

The programme's formal impact assessment is not due until April 2027 under the Workload Reduction Fund's federal reporting schedule, so its actual effect on teacher workload and learning outcomes remains to be independently verified.

Implementation
Indicative cost
Medium (€50k–€500k) — AU$4.6 million committed in the 2026/27 WA state budget alone, as part of a national Workload Reduction Fund covering 19 pilots.
Time to results
Medium (1–3 years) — Launched July 2024; pilot at 60 schools by mid-2026; extended through the 2027 school year with a target of 100+ schools; formal impact assessment due April 2027.
Staffing & skills
WA Department of Education, Catholic Education WA, Association of Independent Schools of WA, Classroom teachers (end users, editable outputs)

Conditions for success

  • Teacher retains editorial control over all AI-generated outputs
  • Joint state-federal funding (Workload Reduction Fund) securing multi-year continuity
  • Cross-sector coordination across public, Catholic and independent school systems

Common failure modes

  • No independent, quantified evaluation published yet; current impact claims rest on testimony rather than measured data

Commonly funded by

National / regional programmes

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

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