Preparing, supporting, and empowering workers, leaders, and industry to adapt with confidence and skill to an evolving world of work.

The challenge Industries operating under high stakes, including critical minerals and mining, defence, and advanced manufacturing, are simultaneously navigating technological transformation, workforce shortages, and shifting skill requirements. These sectors share structural features that make adaptive capability especially load-bearing: safety-critical operations, complex regulatory environments, and decisions that carry significant human, financial, and operational consequences. The pressures these industries face, while sharper than in many other settings, are increasingly common across the modern economy. They create a learning challenge as much as a recruitment one. Industries need workers who can develop and apply adaptive capability across changing roles, tools, and contexts.

What we're doing This EAIT and HASS seed project, led by a cross-faculty team at The University of Queensland, is developing an evidence-informed Agile Learning Framework for high-risk industries. The work moves through three connected stages. The first stage maps the existing evidence on how workers in high-risk settings learn, adapt, and transfer capability across organisational and industry boundaries, drawing together research that has so far been scattered across disciplines and sectors. The second stage translates that evidence into a coherent framework that describes what an agile learning system looks like in practice: who is involved, how learning happens, and the conditions that make it possible. The third stage refines the framework through collaborative consultation with industry partners and cross-sector experts, testing whether it speaks to the realities of work in mining, defence, advanced manufacturing, and adjacent sectors.

Research questions

  1. What mechanisms enable learning and capability transfer across organisational and industry boundaries in high-risk industries?
  2. What are the components of an agile learning framework to guide how an agile workforce is trained, developed, supported, and engaged?

Why it matters Most existing models of workforce learning treat the individual, the workplace, and the industry as separate units of analysis. By developing the Agile Learning Framework in the context of high-risk industries, where the demands on learning are most acute, the project produces an evidence base and shared language that travels well to other sectors confronting rapid change, including healthcare, energy, and infrastructure.

 

Learning Lab Project members

Dr Stephanie Macmahon

Senior Lecturer
School of Education
Affiliate of Minerals Industry Safety and Health Centre
Minerals Industry Safety and Health Centre
Headshot of Brooklyn Corbett

Dr Brooklyn Corbett

Research Fellow — Learning Lab
School of Education

Professor Annemaree Carroll

Affiliate of Centre for Digital Cultures & Societies
Centre for Digital Cultures & Societies
Professor
School of Education

EAIT Project members

Professor Mohsen Yahyaei 

Professor Maureen Hassall

Dr Jeffrey Venezuela