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Important Information - There is currently an ongoing staggered rollout of the platform for the academic year 2022/23 with a focus on supporting the use of Gradescope within quantitative disciplines. If your course is not part of this rollout and you wish to use Gradescope, please get in contact with eden.digital@lse.ac.uk to discuss this further.

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.)

https://www.youtube.com/watch?v=nJp_NN1oFcw

Who can use Gradescope?

Gradescope is available to all Departments within the LSE. However, Eden Digital is initially 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

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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