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    An Introduction to Gradescope

    Owned by Athina Chatzigavriil (Unlicensed)
    Last updated: Oct 10, 2023 by Abigail Myers
    2 min read

    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

     

    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