DataTalksClub / DataTalksClub/course-management-platform

Ideas for Public Homework Statistics Dashboard

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Dominant language
Python
Stars
85
Forks
37
PR merge metrics
No merged PRs in 30d

Description

Performance metrics

  • Overall course completion rates (helps understand the big picture)
  • Average scores across assignments (gives context to individual performance)
  • Assignment difficulty rankings (helps identify challenging areas)
  • Submission timing patterns (understand student work habits)
  • Weekly/monthly engagement trends (track participation over time)
  • Score distribution visualizations (see how scores spread across the class)
  • Progress tracking over time (motivate consistent effort)

Recognition and motivation

  • Anonymized top performers list
  • Most improved students tracking
  • Consistent performers recognition (reward steady progress)
  • Achievement badges system (celebrate specific accomplishments)
  • Student of the week/month features (spotlight different types of achievement)
  • Completion streaks tracking (encourage regular engagement)

Assignments and difficulty

  • Common mistake patterns analysis (guide teaching improvements)
  • Time investment analysis (understand student effort)
  • Question-level difficulty assessment (fine-tune our content)
  • Retry/resubmission statistics (track persistence)

Comparative insights

  • Cohort comparison
  • Module performance comparisons

Visualization ideas

  • Interactive charts and graphs (explore the data)
  • Assignment difficulty heat maps (visualize challenges)
  • Activity calendars (track engagement)

Potential smart features

  • Success pattern recognition (share best practices)
  • Study time recommendations (optimize learning)

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue lists possible metrics, recognition features, comparisons, visualizations, and smart features but names no files, tests, or entry points. Start by reviewing the existing course management platform and clarify which dashboard scope and audience are intended with maintainers. Done should mean one agreed subset is implemented with its data handling and public visualizations defined.

Written by the indexing model from the issue text.

Assessment

Tech stack
django, python
Domain
analytics, data-visualization
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
25/100

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