Across the higher education sector, a critical conversation is unfolding: how do we prepare graduates for a world where generative artificial intelligence (GenAI) is embedded in professional life?
This conversation was sparked by the 2023 TEQSA-commissioned report, Assessment Reform for the Age of Artificial Intelligence, which urged institutions to move beyond risk mitigation and toward a deeper transformation of curriculum and pedagogy.
In response, thought leaders across the sector have started to articulate new visions for learning in an AI-evolving world. Nira Rahman and colleagues advocate for a more generative, inclusive, and future-oriented approach to GenAI that helps students not only critique but also imagine, connect, and create. Similarly, Shahriar Akter and David Grant call for a return to higher education’s core mission: the cultivation of critical thinking, ethical reasoning, and context-specific learning, supported by the scholarly inquiry of academics. These are precisely the human capabilities that GenAI struggles to replicate.
Students are already navigating the uncertainty of learning in the AI-evolving university. Recent research by Margaret Bearman and colleagues reveals that, in the face of inconsistent or unclear institutional guidance, many students rely on their own moral reasoning to determine when and how they should use GenAI in their studies. This not only underscores the need for coherent, principled guidance on GenAI use in higher education but also the need to prepare students for the expectations of the world of work, where professionals must make informed, ethical, and strategic choices about their GenAI use.
We join this conversation to offer six curriculum recommendations developed through a 16-month multi-disciplinary conversation that brought together senior academics, industry partners and professional peers to explore how AI is reshaping professional practice and what that means for curriculum design. These recommendations are not abstract ideals; they are a pragmatic response to the concerns raised across the sector and by employers. They build on the momentum of thought leaders who are already reshaping how we think about learning, professionalism, and the role of GenAI in higher education and the world (of work).
A Practice-Led Response to a Sector-Wide Challenge
Launched in May 2024, the FutureFocus GenAI Program brought together senior academics and industry partners across seven disciplines to explore how GenAI is impacting their fields. Using a practice-led research approach, the program engaged a 40-member Community of Inquiry in structured dialogues, generating a rich dataset of seven zines, 33 thematic provocations, 280 pages of process documentation, and over 100 hours of discussion. These insights were analysed and refined through iterative consultation, culminating in six collective recommendations.
Curriculum-wide recommendations for a people and a world to come
This recursively structured set of recommendations is designed for curriculum-wide adoption. They are adaptable rather than prescriptive, allowing disciplinary expertise to shape content and pedagogy.
To prepare graduates for the AI-evolving world (of work), programs should:
- Prioritise the cultivation of the emerging professional self to ethically and intentionally engage in the AI-evolving world (of work)
- Introduce a strong ethical foundation in the first year, enabling students to understand and apply the core ethical principles, values, and assumptions that guide decision-making in their discipline
- Intentionally frame critical and creative AI-evolving practices according to the ethical and philosophical perspectives of the disciplines
- Challenge disciplinary perspectives and AI-evolving practices by scaffolding opportunities to engage across and between disciplines
- Design workplace learning that helps students safely translate their exploratory AI-evolving practices into self-directed and purposeful professional practices
- Provide opportunities to safely explore the complexities and limitations of relationships between humans and technologies
As GenAI continues to reshape the world (of work), higher education must evolve in parallel. The recommendations of the FutureFocus GenAI Program offer a roadmap for this transformation that centres ethics, interdisciplinarity, and the development of the emerging professional self.
We encourage colleagues to read the open access recommendations and consider how they might be adopted in their disciplines. We also welcome anyone interested in contributing to this important conversation to get in touch.
Dr Danni Hamilton is Senior Lecturer, Learning Futures at Deakin University. Associate Professor Lauren Hansen is Director, Graduate Employability at Deakin University. Professor Phillip Dawson is Co-Director, Centre for Research in Assessment and Digital Learning (CRADLE) at Deakin University