MITx Python Grading Library - now supporting matrix problems!

[Jolyon Bloomfield]

 Hi all!

We're pleased to announce a major update to the MITx Grading Library. This is a python grading library for creating interesting and complex problem types natively in edX, by using the CustomResponse problem type.

The major update in this release is the ability to handle matrix and vector input and expressions natively in edX, without the need for xBlocks or LTI applications. This update also drastically improves the formula preview that students see, and provides much clearer error messages to students when something goes wrong.

Please take a few minutes to click through our example course. Also, if you work with instructors who are making courses in physics, math or engineering courses, please forward them this email -- I promise they will be thrilled!

Example course: https://edge.edx.org/courses/course-v1:MITx+grading-library+examples/

Documentation: https://mitodl.github.io/mitx-grading-library/

Github: https://github.com/mitodl/mitx-grading-library

Best,

Jolyon Bloomfield

Fellow, MITx Digital Learning Lab