MITx Grading Library v2.0 Released

[Jolyon Bloomfield]

Hi folks,

We're very proud to announce the release of version 2.0 of the MITx Grading Library, which gives course authors access to significantly expanded options for constructing problems in all disciplines (not just math!). Some features of the new release:

* Works with any edX instance

* Python 2/3 compatible

* Ability to assign credit based on attempt number

* Regex-based validation of text input

* Automatic partial credit on formula problems

* Native matrix problem handling with partial credit

We strongly encourage you to tell any course teams you work with that might be interested about this tool!

Example course:

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

Best,

Jolyon

MIT Digital Learning Lab Fellow

[Colin Fredericks]

This is awesome! I know a lot of folks have been looking for attempt-based credit in the past, and I'm psyched that you found a way to do partial credit on formula problems too. Thanks for all the work you've put into this.