GenAI for Assessment of Student Submissions

Chancellery (Academic) has developed guidance in relation to the use of AI tools for assessment of student submissions. Similar to other questions related to genAI and education, this raises a complex, and fast-moving set of issues. Current guidelines are impacted by ongoing development of related technologies and tools, including updates to tools already in use at the University, and considerations including Privacy and Security of Student, Staff and University Data; Staff Responsibilities, Roles, and Pedagogical Use of tools; Validity and Reliability of AI-generated Feedback.

The following guidelines apply for 2024:

• From Semester 1, 2024, staff can use new AI systems to support their evaluation of students’ work and to provide feedback to students. However, staff remain responsible for any academic judgements made on students’ submitted work and any feedback provided to students. The outputs from any AI system used for assessment or feedback must be reviewed by staff and the prompts and inputs the AI system is using must be well understood and managed. The sole use of new Gen-AI tools to allocate marks or grades to students is not appropriate.
• Staff wishing to use new Gen-AI tools to support student assessment and feedback should use the University’s internal, secure platform of Gen-AI tools called ‘Spark’ and should seek the endorsement of their Faculty’s Associate Dean, Teaching and Learning prior to doing so.
• Staff who are interested in using new Gen-AI tools that are not within the University’s secure Spark platform or enterprise technology suite need to seek endorsement from the Deputy Vice-Chancellor, Academic.

Importantly, this advice specifically focuses on how staff might use new AI tools for the assessment of, and feedback on, students' work. To avoid confusion, this advice is not related or relevant to:

• Student use of artificial intelligence tools (even where they are directed to use such tools in the completion of work in their subjects that will be assessed by staff).
• Staff use of artificial intelligence tools to prepare their own teaching, learning and assessment material that is then used in their subject or program.