Skip to main content
Archived

This project has been archived by its maintainers, and is no longer receiving any updates.

This XBlock provides a way to do an ungraded self assessment activity. It is useful for synthesis questions, or questions which require the student to answer in her own words. After the student submits her answer, she is able to see the instructor’s answer, and compare her answer to the expert answer.

badge-ci badge-coveralls

image-lms-view-normal

Installation

System Administrator

To install the XBlock on your platform, add the following to your requirements.txt file:

xblock-submit-and-compare

You’ll also need to add this to your INSTALLED_APPS:

submit_and_compare

Course Staff

To install the XBlock in your course, access your Advanced Module List:

Settings -> Advanced Settings -> Advanced Module List

image-cms-settings-menu

and add the following:

submit-and-compare

image-cms-advanced-module-list

Use

Course Staff

To add a full-screen image to your course:

  • upload the image file onto your course’s Files & Uploads page

    • note: you can skip this step if you’ve already uploaded the image elsewhere, e.g.: S3.

  • copy the URL on that page

  • go to a unit in Studio

  • select “Image Modal XBlock” from the Advanced Components menu

image-cms-add

You can now edit and preview the new component.

image-cms-view

Using the Studio editor, you can edit the following fields:

  • display name

  • image URL

  • thumbnail URL (defaults to image URL, if not specified)

  • description (useful for screen readers, longer descriptions)

  • alt text (useful for screen readers, captions, tags; displays when image does not)

image-cms-editor-1 image-cms-editor-2

Participants

image-lms-view-normal

Click on the image to zoom in full-screen.

image-lms-view-zoom

Click on the image again to zoom out.

Click and drag to pan around.

View a demo of the CMS

View a demo of the LMS

Metadata

Release files for xblock-submit-and-compare 4.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for xblock-submit-and-compare 4.0.0
File Size Uploaded
xblock_submit_and_compare-4.0.0.tar.gz 28.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for xblock-submit-and-compare 4.0.0
File Interpreter ABI Platform
xblock_submit_and_compare-4.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 58.8 kB

Release files / xblock_submit_and_compare-4.0.0.tar.gz

Download URL xblock_submit_and_compare-4.0.0.tar.gz
Size 28.7 kB
Tags Source
SHA-256 checksum
How to use checksums
6d525aa2d349e5c5102fcc3bc7527bbd1e7af3f561a8bdc8a0c6adb93dcdd639
BLAKE2b-256 checksum
How to use checksums
c38619062aa1872c4d2e5e19e992068836202055da60fabe8e6599c8cb3992bd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.12

Release files / xblock_submit_and_compare-4.0.0-py3-none-any.whl

Download URL xblock_submit_and_compare-4.0.0-py3-none-any.whl
Size 30.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
05758d6042e3b91da21cc3f4f9a04f48690260abe56f2283a8fb879798226caa
BLAKE2b-256 checksum
How to use checksums
c2cb423f3c70fda64f1fbc43420e94bf8fb805f87f2b43cb18cc73bdf2a3e51f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.12
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page