AI Essay Feedback demo
Drafts rubric-based feedback on student essays for teachers to edit and release 1:32
What the demo shows
Drafts rubric-based feedback on student essays for teachers to edit and release
An Assignment reader pulls the essays, rubric and sources from the learning management system and removes names. A Calibration agent scores essays the teacher already graded, blind, shows where it leans and re-scores the class when the teacher tightens an anchor. A Feedback agent drafts one comment per criterion in the teacher's voice, quoting the sentence and the rubric line. A Fairness agent checks every English learner's essay and writing with dialect features, and shows first-language notes beside the English. A Writing process agent turns version-history signals into questions for the teacher. The teacher keeps, edits or drops every comment and releases the class; a Release agent posts the comments and writes only confirmed scores to the gradebook.
Transcript
- AI Essay Feedback drafts rubric-based comments on student essays, for teachers to edit and release.
- In one study, AI feedback alone scored 3.6 of 5; teachers, 4.0.
- So the teacher decides: essay in the middle, rubric left, comments right.
- Pick Evidence, and its sentences light up.
- Linh outlined in Vietnamese; her notes sit beside the English, and comments address her argument.
- He keeps them; nothing reaches a student until he releases it.
- The Calibration agent rated Evidence higher than him on four of six essays.
- He tightens the anchor, and agreement rises to 93 percent.
- Three late essays are drafted, and he checks each.
- He releases all 34 at once; Owen's score waits for a talk.
- Every step is logged; the chair sees statistics, never essays.
- Students get feedback in days, not weeks, signed by their teacher.
- Built on Botminds: agents, data, screens and governance on one platform.
The narration as written for the film. Captions are on the player.