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LLM-backed Chrome extension surfacing AI feedback drafts within Gradescope

Design · All designs
Evidence · 1 claim (1 for) · 1 study (1 causal), q3 · 0 of 1 report an effect size · 1 claim rests on one study

Description

A lightweight, LLM-backed Chrome extension integrated into the Gradescope grading platform, powered by o4-mini (selected via Bradley-Terry analysis of TA rankings). After grading, TAs click a "Done Grading" button inserted by the extension; in treatment submissions a personalized AI feedback draft is shown, which TAs "can use the feedback draft as-is, edit it, or ignore it." The extension also logs behavioral data (provision, length, time) and embeds in-situ surveys on draft usage and helpfulness.

Design Implications

Context

Requirements

  • Integration with an existing grading platform (Gradescope)
  • A prompt incorporating problem description, instructor solution, grading rubric, and student submission

Constraints

  • Drafts shown only after grading to reduce over-reliance, per instructor and formative-study input

Target Learners

  • teaching assistants grading written assessments in higher education

Learning Goals

  • increasing personalized feedback provision on student submissions

Claims

Examples

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Key Sources

  • Mahinpei, R., Dean, V., Fong, R., Liu, L. T., & Ribeiro, M. H. (2026). AI Assistance for Discretionary Work: Increasing Feedback Provision in Higher Education. arXiv. https://arxiv.org/abs/2606.03095. doi:10.48550/arxiv.2606.03095
Page metadata
Field Value
type design
id llm-chrome-extension-gradescope-feedback-drafts
title LLM-backed Chrome extension surfacing AI feedback drafts within Gradescope
description A lightweight, LLM-backed Chrome extension integrated into the Gradescope grading platform, powered by o4-mini (selected via Bradley-Terry analysis of TA rankings).
status review
generated by process:settle-candidates on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — mahinpei-2026

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