What is Gradr’s Student Platform?
The Student Platform is where students write, hand in, get feedback and keep working on their texts, in the same platform the teacher marks in.
Richer, more personal feedback on every assignment, in a fraction of the time.
Every answer gets feedback against the same criteria, so results are consistent and fair across the whole class. Students write, hand in, get feedback and keep working, in the same platform the teacher marks in.




When the teacher hands work back, the student sees comments tied to their own answers: what works well and what can be developed further.


The feedback is still there at the next lesson, and the text develops over several steps. The whole process is saved in Gradr.


Text-to-speech, extended exam time and other individual accommodations. The teacher turns on the support the student is entitled to.

Questions and answers
The Student Platform is where students write, hand in, get feedback and keep working on their texts, in the same platform the teacher marks in.
In Gradr, every student gets detailed, individualised formative feedback on their assignments, not just the students who get the chance to ask. The feedback is tied to the assignment’s criteria, so the student sees both what works and what to develop.
The feedback always comes from the teacher. The AI in Gradr suggests wording, but the teacher reviews and approves every comment before the student sees it, and the teacher can rewrite or remove anything.
No. The teacher sets the grade. Gradr sets no grades and never shows a suggested grade to the student.
Yes. Students write exams in open or locked mode, directly in the platform, on a digital writing area.
Yes. The feedback is still there at the next lesson, and the text develops over several steps. The whole process is saved in Gradr.
Gradr has individual support in exam mode, such as having text read aloud (text-to-speech) and extended time per student. The teacher controls which accommodations apply to which student.
With Hetzner in Finland, within the EU. The texts are never used to train AI models.