Marking is the most cognitively expensive task in academic life, and the most prone to drift. Inter-rater reliability decays under fatigue, large cohorts amplify inconsistency, and feedback quality often suffers in the final third of any marking pile. Intelligence Marking Assistance is built to address this directly.
The system ingests your rubric, the unit learning outcomes, and the assessment brief, then assists markers by surfacing rubric-aligned suggestions, flagging where a draft mark sits outside the distribution for similar work, and drafting structured, criterion-referenced feedback that the marker reviews, edits, and approves. The marker remains the decision-maker. The platform never auto-grades.
Every feedback artefact is logged, attributable, and exportable, which means moderation panels and external examiners can trace the full reasoning trail behind any final mark.
What this service provides
Rubric anchoring
Suggestions are bound to the criteria you upload, not to a generic scoring heuristic.
Distributional flags
Marks that deviate substantially from the cohort distribution are flagged for marker review before submission.
Outcome alignment
Feedback maps explicitly to unit learning outcomes and AQF level descriptors.
Marker-in-the-loop
No autonomous grading. Every mark and every comment is reviewed and authorised by a human marker.
Standards and frameworks
This service is engineered to satisfy specific Australian higher education regulatory and academic standards.
- HES Framework Standard 1.4
- AQF level descriptors
- TEQSA Guidance Note: Academic Integrity