Designing Assessment with AI—Without Losing Ourselves: A Practical Workshop on Ethical Augmentation

Designing Assessment with AI—Without Losing Ourselves: A Practical Workshop on Ethical Augmentation

Artificial intelligence (AI) is becoming an increasingly common presence in school-based assessment, with tools such as ChatGPT, Grammarly, and other generative platforms now being used to support rubric writing, feedback, task design, and marking. While these tools offer efficiencies, they also raise critical questions about professional judgement, workload relief, academic integrity, and the validity of AI-generated artefacts.

This workshop responds to the growing need for educators and researchers to engage critically and practically with AI in the context of assessment. Framed by the concept of ethical augmentation, the session invites participants to consider how AI might be used to support—not replace—teacher expertise. Drawing on early findings from a national survey of Australian teachers and a conceptual framework developed by the presenter, the workshop aims to provide a safe, hands-on space to trial tools and reflect on their potential and limitations.

The workshop will run in three parts. First, a brief orientation will introduce the key challenges and tensions emerging in AI-supported assessment, with particular attention to teacher wellbeing, workload, and professional agency. Next, participants will work in small groups to trial AI tools in sample assessment contexts, such as creating success criteria, generating formative feedback, or redesigning a task to improve clarity or differentiation. A values-based reflection tool will guide this activity, prompting critical thinking about alignment to core assessment principles, equity, and authenticity. Finally, participants will engage in a structured reflection and discussion, synthesising their insights and generating shared principles for ethical and sustainable AI use in education.

This session will be particularly relevant for those researching or supporting assessment and feedback design, professional learning, teacher education, or digital pedagogies. It contributes to the conference theme by offering a new direction for assessment research that bridges empirical, conceptual, and practical insights. Participants will leave with an applied understanding of current tools, a values-based checklist to guide classroom and research practice, and a clearer view of how AI is reshaping the assessment landscape.

No prior AI experience is required. Participants are encouraged to bring a device but this is not essential.

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