Skip to main content

recommender XBlock

Project description

This XBlock shows students a list of recommended resources for a given problem. The resources are recommended, edited, and voted by students. For each resource, we show its title, link, short summary, preview screenshot, and votes:

Recommender screenshot

This is an module where students can share useful resources/hints and rate them. This crowdsourcing mechanism allows a scalable solution to fulfill students with varying learning needs.

  • Staff Interface: manage problematic resourse easier, add comments, endorse, de-endorse resource

  • Discussion around each resource

  • Better interface for adding varying types of resource (e.g., specific timestamps in the video or specific elements in a learning sequence)

  • Better user help/documentation

  • Tag/categorize resources around specific misconceptions

In a randomized control trial in a computer science course, this XBlock led to similar learning outcomes in about 10% less time than without it (so efficiency of learning was about 10% better than without the XBlock – students learned the same in less time). Qualitative analysis as well as quantitative analysis of usage data showed it was helpful in contexts where there were complex, multiconcept problems. It was not helpful or used in contexts where there were simple, single-step problems.

In an analysis comparing to other remediation systems within edX, it was more effective for deeper, more complex misconceptions, and less effective for simple errors.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

recommender-xblock-1.4.5.tar.gz (49.1 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

recommender_xblock-1.4.5-py3-none-any.whl (80.2 kB view details)

Uploaded Python 3

recommender_xblock-1.4.5-py2-none-any.whl (80.2 kB view details)

Uploaded Python 2

File details

Details for the file recommender-xblock-1.4.5.tar.gz.

File metadata

  • Download URL: recommender-xblock-1.4.5.tar.gz
  • Upload date:
  • Size: 49.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.1

File hashes

Hashes for recommender-xblock-1.4.5.tar.gz
Algorithm Hash digest
SHA256 bcc4ee87080763325254e7d9702bbc6537e5dfab2239acbf3a0bf81b1a1ef46a
MD5 28b1dcca3e2479f89105254bcf5b04cf
BLAKE2b-256 4c195795685d33f9557dda3aef2c3309c98b32b75c05ab33b91a5619d747af0c

See more details on using hashes here.

File details

Details for the file recommender_xblock-1.4.5-py3-none-any.whl.

File metadata

  • Download URL: recommender_xblock-1.4.5-py3-none-any.whl
  • Upload date:
  • Size: 80.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.1

File hashes

Hashes for recommender_xblock-1.4.5-py3-none-any.whl
Algorithm Hash digest
SHA256 796058db7b2924df3f719b41ad049cab293bf5fd2cf1534cb7af2a6efa7c44bb
MD5 01760eeb6550230fee26f5ffd0e48f24
BLAKE2b-256 3fce93f357d538620eb56d21ecdc26f6a73e295bc7eacf7ac3404d5f1df46e72

See more details on using hashes here.

File details

Details for the file recommender_xblock-1.4.5-py2-none-any.whl.

File metadata

  • Download URL: recommender_xblock-1.4.5-py2-none-any.whl
  • Upload date:
  • Size: 80.2 kB
  • Tags: Python 2
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/2.7.15

File hashes

Hashes for recommender_xblock-1.4.5-py2-none-any.whl
Algorithm Hash digest
SHA256 c1dbf3137c6b7983d427217ecf677db03b42de01d06dabbc135a9808148aadba
MD5 c693e7db66e141b063c5eda0c06b6257
BLAKE2b-256 33d934ba252ba5e95a4c6989f9ebb1e42b07eedcbfebb82c574759ab4d8d13d9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page