Digital Education Wiki Spaces
Accessibility — Assessment — CampusPress Guides — Digital Education — Gradescope Guides — Learning Technology Good Practice — Lecture Recording — Moodle for Learning — Moodle Baseline — Moodle How-Tos — Multimedia — Student Online Learning — Zoom
An Introduction to Gradescope
This guide will provide an introduction to the use of Gradescope within the LSE and how it can help to improve the assessment, marking and feedback process.
Table of Contents
What is Gradescope?
Gradescope is an online platform that supports the collection, grading and feedback process for paper-based, digital and code assessments. The platform supports various types of assessments (e.g. paper-based problem sets, programming assignments, quizzes etc.)
Who can use Gradescope?
Gradescope is available to all Departments within the LSE. However, the Digital Education is mainly focusing efforts to support the use of Gradescope within quantitative disciplines. This is because Gradescope will address the unique requirements identified for the assignment workflow within these disciplines.
Why use Gradescope?
Gradescope enables those marking to:
provide more detailed and timely feedback, resulting in improved student experience
use dynamic rubrics to increase consistency and streamline the more repetitive aspects of grading
standardise the grading process amongst markers
easily collect and grade paper-based problem sets for online grading
promote equity with marking each question across all submissions at the same time, rather than marking a whole paper one submission at a time
ability to administer various assignments types including programming assignments
Use cases for Gradescope
Gradescope allows for:
the submission, marking and feedback of assessments requiring handwritten work, mathematical symbols, equations, formulae or diagrams and/or computer programming tasks in STEM disciplines with Gradescope expanding the suite of tools available to support these uniquely identified discipline needs
the use of the Autograder for programming assignments to provide immediate feedback to students
the grading of question answers that are grouped together through AI analysis that speeds up the grading process
the quick update of students' grades due to the shared, dynamic rubric for each assessment question
These pages are created by the LSE Digital Education Team and licensed under a Creative Commons Attribution-ShareAlike 4.0 International License CC BY-SA 4.0