Gradescope provides a platform for educators to streamline the grading of various assignment types, including handwritten, programming, and bubble sheets. Instructors can apply consistent feedback using flexible rubrics and leverage features like answer grouping and AI assistance to reduce grading time. The system generates detailed analytics on question performance and facilitates instant grade delivery to students.
Funding
$2.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Grading paper-based assignments, digital submissions, and code projects is often a time-consuming and inconsistent process for instructors. Providing detailed feedback and analyzing student performance across various subjects can be challenging with traditional grading methods.
Solution
Gradescope is a platform designed to streamline and standardize the grading process for instructors across various assignment types. It enables online grading of paper-based assignments through scanned submissions, supports direct grading of digital documents, and offers autograding capabilities for code projects. The platform's flexible rubric system allows for consistent and detailed feedback, while automated analytics provide insights into student performance at the question and rubric level. Gradescope also facilitates online regrade requests and integrates with existing learning management systems, reducing administrative overhead and improving communication between instructors and students.
Target Audience
Gradescope primarily targets instructors and professors in higher education across various disciplines, including computer science, engineering, mathematics, and the sciences.
Features
- Grading of scanned paper-based assignments, digital submissions (PDFs, images), and code projects
- Flexible rubric system for consistent and detailed feedback
- Autograding for code submissions with support for various programming languages and testing frameworks
- AI-assisted grading to group similar answers and grade them simultaneously
- Question and rubric-level statistics to identify areas where students struggle
- Integration with learning management systems (LMS) for seamless grade transfer
- Online regrade request system to streamline communication and address student concerns
- Support for multiple assignment types, including exams, homework, and bubble sheets
- Anonymous grading option to reduce bias
- Version control integration (e.g., GitHub, Bitbucket) for code submissions