Keynote Presentation Thursday
Tracks
Track 1
Track 2
Track 3
Track 4
Track 5
Track 6
| Thursday, June 18, 2026 |
| 8:45 AM - 9:45 AM |
| Kittyhawk Room |
|
Sponsored By:
ReadCloudVET
|
Overview
AI to reduce teacher burnout
Speaker
Matt Jak
Director
Technology Systems Training
AI to reduce Teacher burnout
Presentation description
Australian teachers are working unsustainable hours, with administrative tasks consuming time that should be spent with students. While AI dominates education headlines, most discussions focus on academic integrity concerns or futuristic possibilities rather than immediate, practical solutions. This presentation cuts through the noise to demonstrate how Queensland educators are already using AI to reclaim 5-10 hours per week.
AI development is accelerating across multiple education domains: lesson planning, assessment design, feedback generation, administrative correspondence, and curriculum alignment. However, teachers face legitimate concerns about policy compliance, data privacy, assessment validity, and the learning curve required to adopt new tools. Many educators feel caught between mounting workload pressures and uncertainty about which AI applications are permissible and effective.
This session presents real-world implementations that address these concerns head-on. Attendees will see demonstrated examples including the Relief Lesson Generator, which creates curriculum-aligned lesson plans in minutes rather than hours, and pre-marking agents that ensure consistency in assessment marking against rubrics before human review. These aren't theoretical concepts but working solutions currently deployed in Queensland schools.
The presentation reveals how platform-agnostic AI literacy enables teachers to adapt solutions to their specific contexts regardless of future Education Queensland policy changes. Rather than promoting specific tools that may become obsolete, the focus is on building sustainable capability that works within existing frameworks.
Participants will leave with understanding of which AI applications deliver immediate time savings, how to implement them within current policy constraints, and frameworks for customising solutions to individual teaching contexts. The goal is simple: give teachers back the time they need to do what they do best, teaching students, while maintaining the quality and consistency of educational outcomes that Queensland students deserve.
AI development is accelerating across multiple education domains: lesson planning, assessment design, feedback generation, administrative correspondence, and curriculum alignment. However, teachers face legitimate concerns about policy compliance, data privacy, assessment validity, and the learning curve required to adopt new tools. Many educators feel caught between mounting workload pressures and uncertainty about which AI applications are permissible and effective.
This session presents real-world implementations that address these concerns head-on. Attendees will see demonstrated examples including the Relief Lesson Generator, which creates curriculum-aligned lesson plans in minutes rather than hours, and pre-marking agents that ensure consistency in assessment marking against rubrics before human review. These aren't theoretical concepts but working solutions currently deployed in Queensland schools.
The presentation reveals how platform-agnostic AI literacy enables teachers to adapt solutions to their specific contexts regardless of future Education Queensland policy changes. Rather than promoting specific tools that may become obsolete, the focus is on building sustainable capability that works within existing frameworks.
Participants will leave with understanding of which AI applications deliver immediate time savings, how to implement them within current policy constraints, and frameworks for customising solutions to individual teaching contexts. The goal is simple: give teachers back the time they need to do what they do best, teaching students, while maintaining the quality and consistency of educational outcomes that Queensland students deserve.
Biography
Matt Jak is Director of Technology Systems Training, a Brisbane-based AI consulting firm specialising in practical education technology implementation. With extensive experience managing technology adoption for major financial institutions, Matt brings enterprise-level change management expertise to Queensland schools.
Matt partners with Heads of Department and school leadership to deploy AI solutions that directly address teacher burnout while maintaining compliance with Education Queensland policies. His approach focuses on quick wins: delivering immediate time savings of 5-10 hours per week through customisable AI workflows that adapt to individual teachers' contexts and existing policy frameworks.
As a parent in the Queensland education system, Matt combines technical expertise in AI automation with understanding of educators' real-world challenges. His platform-agnostic training methodology ensures sustainable adoption regardless of future policy shifts, helping schools build lasting capability rather than tool dependency.
