The train:

The teaching with responsible AI network



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The TRAIN - Teaching with Responsible AI Network

Linking Sectors and Disciplines through the Vehicle of Good Governance of AI in Education
Imagine this: You're on a high-speed train - AI is rapidly reshaping education, but the tracks ahead aren’t fully built, and the guardrails for safe and responsible use aren’t yet in place. If you feel like you’re being propelled forward without a clear direction on how to govern AI in your teaching, you’re not alone. That’s where the TRAIN network comes in. We're here to support you in navigating the fast-moving world of AI in education - offering guidance, resources, and collaborative opportunities to help you stay on track.
This work directly supports teacher-researchers, research activity and the Scholarship of Learning and Teaching (SoLT) across K–12, TAFE, and Higher Education by fostering mentoring, interdisciplinary research opportunities, and sector-wide networking. Whether you’re guiding school students, leading vocational training, or supervising postgraduate research, the TRAIN network connects you with peers and experts committed to responsible, ethical AI use in education. By encouraging collaboration across sectors and disciplines, TRAIN builds capacity for critical inquiry, strengthens research culture, and supports educators to confidently lead AI integration with clarity, care, and collective purpose.

AI And Assessment

This video offers a snapshot of the AI and assessment ecosystem as it stood in 2025. While we present a basic scaffold for assessment, we do so in the context that AI could be viewed as an ever-evolving sociotechnical system. It reminds us that AI is not a neutral tool, but an active participant in reshaping educational values, power relations, and pedagogical practices. Framing AI in assessment as part of a sociotechnical system means recognising that ‘solutions’ are not fixed end-points but temporary alignments within a fluid ecology of policy, tools, human actors, and institutional norms. As such, rather than seeking definitive answers, we are tasked with maintaining a dynamic equilibrium—a blanc—where practices, ethics, and technologies are continuously negotiated. While we compile current practice and ideas in this video, our approach calls for reflexivity, and collective responsibility as we balance innovation with justice, efficiency with care, and automation with human judgment.

Researchers

Dr Amanda Muscat
Dr Janine Arantes
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Steven Kolber
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Acknowledgement of CountryWe acknowledge the Ancestors, Elders, and families of the Kulin Nation, who are the Traditional Owners of the land where this work has been predominantly completed. As we share our own knowledge practices, we pay respect to the deep knowledge embedded within the Aboriginal community and recognise their custodianship of Country. We acknowledge that the land on which we meet, learn, and share knowledge is a place of age-old ceremonies of celebration, initiation, and renewal, and that the Traditional Owners’ living culture and practices continue to have a unique role in the life of this region.
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