Lithemba352 / Lithemba352/AI-Personalized-Learning
Access Personalized Content
Nobody has claimed this yet.
- Dominant language
- Java
- Stars
- 38
- Forks
- 31
- PR merge metrics
- No merged PRs in 30d
Description
**Description:**
Students should receive tailored learning materials based on their preferences and progress.
**Acceptance Criteria:**
- Content recommendations should be based on past activity.
- Students can access personalized course suggestions.
- System should update recommendations dynamically.
- Students can provide feedback on suggested content.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or entry points; first inspect the repository to locate the recommendation and student-activity components. Define how past activity, course suggestions, dynamic updates, and student feedback are represented and tested, then verify all four acceptance criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- java
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100