How Gradescope by Turnitin Automates Grading and Speeds Feedback with AI and NLP

By: GoBeyond Team
July 3, 2025
3 min read
AI case study for Gradescope by Turnitin – 40% faster grading with AI

Quick Overview

Gradescope uses AI and natural language processing to automate grading for multiple-choice, short-answer, and programming assignments, reducing instructor workload and providing faster, consistent feedback to students.

Gradescope by Turnitin
Gradescope by Turnitin
Company Size
Not publicly disclosed
Revenue Range
Not publicly disclosed
Primary Challenge
Reducing grading workload and speeding up student feedback
Key Metrics
\- Saved 40% of grading time\- Faster, consistent feedback\- Improved instructor efficiency

The Problem

Manual grading was time-consuming and inconsistent, delaying feedback to students.

The Solution

Deployed AI and NLP algorithms to automate grading and provide detailed, timely feedback across various assignment types.

Results

\- Reduced grading time by 40%\- Improved feedback speed and consistency\- Enhanced instructor productivity

Details

Industry
Education & EdTech
Departments
Education & Learning
Use Cases
Knowledge Assessment
Support Analytics
Document Processing
Workflow Automation
Tags
NLP
Machine Learning
Educators
SaaS
Time-Saving
Team Efficiency
AI Tools Used
No items found.
Sources
https://redresscompliance.com/top-15-real-life-use-cases-for-ai-in-educational-industry/

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