In the near future an answer distribution report will be displayed in the data download reports table. In order to avoid confusion, we need to clean up several misleading labels and remove a redundant feature.
Note that the redundant feature is surrounded by a feature flag so that it can be disabled once the report goes live in the table.
Fixes: AN-694
We would like to be able to generate arbitrary reports and expose them to the instructor by simply uploading them to S3. The existing grade download infrastructure pretty much supported that already, however, all of the internal and external structures were referring to the reports as exclusively grading related.
Fixes: AN-590
Metrics tab shows student data:
-Count of students opened a subsection
-Grade distribution per problem
for each section/subsection of the course.
Implemented for both the old and beta dashboard
Controlled by a feature flag 'CLASS_DASHBOARD'
Data is aggregated across all students
Aggregate data computed from courseware_studentmodule
This requires fixing the javascript api implementation, and adding
an implementation of get_block to the ModuleSystem api.
However, the implementation is incomplete, due to mismatches between
the expectations of XModule and XBlock.
Also adds tests using the Acid block to make sure that the javascript
and python apis for children are working correctly.
Deprecated rake functions issue a warning and then call paver
replacements
Bring Paver commands up to date with master for servers, assets, and docs.
Revert deprecation of quality, tests, and i18n for a future pull request.
Deprecate workspace migration
Make XBlock client-side runtimes proper classes, so that handlerUrl can
be defined in a per-runtime way, and we can have multiple runtimes on a
single page.
[LMS-1630][LMS-1421][LMS-1517]
First set of fixes from the pull request
This does not include some of the testing files. The textannotation and
videoannotation test files are not ready. waiting for an answer on the
issue.
Deleted token line in api.py and added test for token generator
Added notes_spec.coffee
remove spec file
fixed minor error with the test
fixes some quality errors
fixed unit test
fixed unit test
added advanced module
Added notes_spec.coffee
remove spec file
Quality and Testing Coverage
1. in test_textannotation.py I already check for line 75 as it states
in the diff in line 43, same with test_videoanntotation
2. Like you said, exceptions cannot be checked for
firebase_token_generator.py. The version of python that is active on
the edx server is 2.7 or higher, but the code is there for correctness.
Error checking works the same way.
3. I added a test for student/views/.py within tests and deleted the
unused secret assignment.
4. test_token_generator.py is now its own file
Added Secret Token data input
fixed token generator
Annotation Tools in Place
The purpose of this pull request is to install two major modules: (1) a
module to annotate text and (2) a module to annotate video. In either
case an instructor can declare them in advanced settings under
advanced_modules and input content (HTML in text, mp4 or YouTube videos
for video). Students will be able to highlight portions and add their
comments as well as reply to each other. There needs to be a storage
server set up per course as well as a secret token to talk with said
storage.
Changes:
1. Added test to check for the creation of a token in tests.py (along
with the rest of the tests for student/view.py)
2. Removed items in cms pertaining to annotation as this will only be
possible in the lms
3. Added more comments to firebase_token_generator.py, the test files,
students/views.py
4. Added some internationalization stuff to textannotation.html and
videoannotation.html. I need some help with doing it in javascript, but
the html is covered.
incorporated lib for traslate
fixed quality errors
fixed my notes with catch token
Text and Video Annotation Modules - First Iteration
The following code-change is the first iteration of the modules for
text and video annotation.
Installing Modules:
1. Under “Advanced Settings”, add “textannotation” and
“videoannotation” to the list of advanced_modules.
2. Add link to an external storage for annotations under
“annotation_storage_url”
3. Add the secret token for talking with said storage under
“annotation_token_secret”
Using Modules
1. When creating new unit, you can find Text and Video annotation
modules under “Advanced” component
2. Make sure you have either Text or Video in one unit, but not both.
3. Annotations are only allowed on Live/Public version and not Studio.
Added missing templates and fixed more of the quality errors
Fixed annotator not existing issue in cmd and tried to find the get_html() from the annotation module class to the descriptor
Added a space after # in comments
Fixed issue with an empty Module and token links
Added licenses and fixed vis naming scheme and location.
Adds a feature to the edX platform which allows instructors to set
individual due dates for students on particular coursework. This code is
meant primarily for on-campus use--it is not intended that this feature
would be used for MOOCs. It adds a new tab, "Extensions", to the beta
instructor dashboard which allows changing due dates per student. This
feature is enabled by setting FEATURES['INDIVIDUAL_DUE_DATES'] = True.
