Move beyond the endpoint submission.

From detection to documentation

For several years, the dominant institutional response to assessment integrity was detection. The sector has moved past that position. TEQSA's assessment reform guidance states explicitly that institutions need to emphasise the redesign of assessment rather than investing primarily in detection mechanisms - and describes detecting AI use with certainty as all but impossible.

What has replaced detection as the primary frame is documentation. TEQSA's Threshold Standard 1.4.4 requires institutions to evidence the process of learning over time and in context. That language describes a fundamentally different kind of infrastructure from endpoint submission or AI scanning. It describes progressive, contextual, timestamped records of how learning developed. That is what Stackle generates.

Transparency as a procurement requirement

The Torrens University Assurance of Learning report represents a shift in how the sector thinks about technology selection. Participants across the research explicitly criticised black-box tools that prevent institutions from accessing granular learning data. The report's recommendation is direct: pedagogical evaluation and data transparency should become standard procurement criteria.

This matters because it reframes the technology question. It is no longer sufficient for a platform to collect evidence. Institutions need to own that evidence, access it, export it, and audit it. Stackle's architecture is open and LMS-native by design. Every response, every version, every revision is accessible and exportable. There is no proprietary algorithm mediating what institutions can see.

Longitudinal evidence across the learning journey

Across professional accreditation frameworks in health, law, and business education, a consistent direction is emerging: demonstrating competency development over time, not just at the point of graduation. This is a shift from outcomes documentation to journey documentation - from asking what a student can do, to how that student's capability developed.

The infrastructure question this creates is the same regardless of disciplinary framework or accreditation body: how do you generate a structured, auditable record of professional thinking development across a program, embedded in the learning environment where that development actually occurred? The kind of evidence Stackle generates is directly relevant to that question.

Relevant to ANMAC, APAC, SRA, AACSB, EQUIS, and equivalent frameworks.

A national commitment to make the learning process visible

The Castlereagh Statement, published in April 2026 and shaped by more than 80 educators, leaders, and students from over 30 Australian organisations, is the most significant cross-sector consensus document on AI and education yet produced in Australia. Its signatories include the Deputy Vice-Chancellor (Education) at the University of Melbourne, the Director of Assessment 2030 at Curtin University, and the researcher whose work defined the two-lane assessment framework.

Principle 3 of the Statement calls for a fundamental reorientation of assessment philosophy to draw on diverse forms of evidence, accumulated over time and across contexts, to verify learner capabilities. It commits explicitly to shifting teaching and assessment design to make the learning process visible. In the near horizon, it calls for phasing out AI detection in favour of responsible and effective use. In the far horizon, it calls for building infrastructure that verifies demonstrated capability and allows seamless movement between learning contexts throughout life.