Course-wide Assurance of Learning Mapping

Strengthening assurance of learning in an AI-enabled era

 

Domain 1: Assurance

Project overview

The Curriculum Assurance and Learning Mapping (CALM) project is UOW’s institutional approach to assuring student learning in an AI-enabled environment. CALM will provide a structured, supportive process for Academic Program Directors and Discipline Leaders to map where Course Learning Outcomes (CLOs) are taught and assured across programs, and to identify the key assessment points that demonstrate students’ own knowledge and capability. By coupling guided workshops and one-on-one support with a streamlined digital mapping tool, CALM will surface strengths, gaps, and vulnerabilities, especially where assessment validity, authenticity, or integrity may be at risk due to AI-mediated practices.

Megan Smith, Educational Excellence (E²) Co-Lead - Course-wide Assurance of Learning Mapping (left)

Dr Alyce Mason, Educational Excellence (E²) Co-Lead - Course-wide Assurance of Learning Mapping (Right)

Contact: renaissance-program@uow.edu.au

Why this matters

As AI reshapes how students learn and produce work, universities must show that assessment remains a trustworthy indicator of individual achievement. CALM will directly address this need by shifting assurance away from unenforceable rules about generative AI and towards task design that inherently evidences a student’s learning. It will align with TEQSA’s expectations for demonstrable outcome assurance and management of AI-related integrity risks, providing UOW with a defensible, coherent method for evidencing standards at course level.

What the CALM Project delivers

• Identification of high-stakes assurance points and any gaps or risks (e.g., where current tasks cannot reliably evidence an individual’s learning).
• A full set of CLO assurance maps for all active courses, identifying strengths, gaps, and assessment points requiring redesign.
• An institutionally endorsed suite of assessment types suitable for assuring learning in an AI-enabled world, including definitions, criteria, decision guidance, and discipline-informed exemplars.
• A prioritised schedule for targeted redesign, directly informed by CALM outputs.

How it works

Beginning in early 2026, CALM will launch through a university-wide event that introduces the process, establishes shared expectations, and formally commences the mapping period.

Throughout the year, UOW Educational Excellence, in partnership with learning and teaching specialists, will provide one-on-one CALM support sessions, school-based facilitation, practical examples, templates, and a streamlined online mapping tool to make mapping efficient and meaningful. Completed course maps will be due by 1 October 2026 and endorsed by the Deputy Dean of each Faculty. These maps will be used to guide course-level improvement and assessment redesign, ensuring consistency and integrity across the institution.

Strategic outcome

CALM will establish UOW’s standard for how student learning is assured. It will build evidence of outcome assurance, strengthen integrity through design, and create a consistent foundation for course renewal.

Project timeline