What's covered: Auto-marking applies to short and extended response questions worth 2–6 marks. Questions worth more than 6 marks still use self-marking for now.
What is auto-marking?
Auto-marking uses Atomi's AI to assess written student responses against the expected answer and marking guidelines.
When a student submits a written response in a quiz, they receive:
Feedback on how their response was assessed
Clear guidance on what to improve next
A three-band rating
A suggested numerical mark for Years 11–12.
How does auto-marking work for students?
When a student submits a written response in a quiz, Atomi will:
Assess their answer against the expected response and marking guidelines
Award a mark based on the quality and accuracy of their response
Provide feedback explaining how their answer was assessed and what a stronger response could include
Learn more about AI Feedback.
The experience varies slightly depending on the year level.
Years 7–10
Students see three-band feedback:
Just starting
Making progress
Great work
Students at this stage don't see a numerical mark. This keeps the focus on understanding, improvement and progress.
Years 11–12
Students see:
A three-band feedback
A suggested numerical mark
Feedback linked to the marking guidelines
Because marks and feedback use the same guidelines, students can clearly see how their response was assessed.
How does auto-marking work for teachers?
Teachers see numerical marks for every student, across every year level, in the markbook and on the quiz results page, even when junior students see only the three-band feedback.
The markbook experience stays the same. What changes is the consistency of the data behind it. Every response is assessed using the same marking guidelines, making results easier to compare across the class.
Teachers can use auto-marking to:
Compare results more consistently across classes
Identify patterns in student understanding
How accurate is auto-marking?
Since auto-marking uses the same marking guidelines as Atomi's AI feedback, students receive feedback and marks that align closely with each other, and this helps create more comparable results across the class.
Like any AI-supported tool, there may be times when a response is interpreted differently from how a student intended, particularly for nuanced or creative answers.
Teachers' professional judgement remains the final decision. Every mark can be reviewed, and students can dispute results they don't agree with.
What if a student disagrees with their mark?
If a student disagrees with their auto-assigned mark, they can dispute the result from their feedback view. Students will then see the updated mark along with any additional feedback.