26/10/2026
Assessment is often treated as the work that starts only after teaching ends:
The lesson or exam is over > students submit their work > then the grading begins.
But assessment can’t really be separated from the teaching process. It’s one of the ways teachers understand how students are progressing, where they’re struggling, and what they need next. Feedback is part of that process too – it helps students understand what worked, what didn’t, and where they can improve.
Research on formative assessment has been making this point for years. A recent OECD report describes assessment and feedback as an ongoing process that also helps inform what happens next in teaching.
The problem is that this part of teaching is also incredibly time-consuming.
This is where AI can help – if we use it for the right things.
AI can reduce some of the repetitive work around assessment, help apply defined criteria more consistently across different students and assignments, and bring relevant evidence from the student’s work to the teacher’s attention.
What it should NOT do is make the professional judgment FOR the teacher.
If assessment is part of the , the goal shouldn’t be to automate it. The goal should be to give teachers more time for the parts that actually require a teacher:
— interpreting student’s work
— deciding what feedback will be most useful
— identifying where the student is struggling or progressing
— making the final assessment decision
aiSophist does exactly that – the platform provides teachers and educational institutions with the infrastructure to use AI in parts of the process while keeping them in full control of the final decision.
It makes assessment more efficient, reduces teachers’ workload, and still keeps the final judgment in the hands of the teacher.
AI assists. Teachers decide.
Link to the relevant OECD research in the first comment.