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.
On Sunday, July 21, 2019 at 2:31:26 PM UTC-4, Jolyon Bloomfield wrote: > > 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 > -- You received this message because you are subscribed to the Google Groups "General Open edX discussion" group. To unsubscribe from this group and stop receiving emails from it, send an email to edx-code+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/edx-code/da8730ad-e6b0-440e-a5e2-9dd44f2ae6d4%40googlegroups.com.
