[Feature] Implement Spaced Repetition Learning Events via API Integration

[miguelcsx]

Description

Develop and integrate a spaced repetition algorithm to help students optimize their learning and retention of topics. This feature will leverage your API to manage learning events, triggering notifications or prompts based on optimal study intervals. These events will be automatically generated to encourage students to review material at the best time for memory retention.

Goals

• Create an event-driven spaced repetition system that guides students on when to review topics for effective learning.
• Use API integration to retrieve study data, track user progress, and generate personalized learning schedules.
• Automate the generation of learning prompts as events (instead of commands) to ensure seamless interaction with the student.
• Allow for flexible configurations, enabling different algorithms or review intervals based on student performance.

Tasks

1. Spaced Repetition Algorithm:

   • Develop or integrate an existing spaced repetition algorithm (e.g., SM2 from Anki or Leitner system) that can calculate optimal review intervals for each student.
   • Ensure the algorithm accounts for different difficulty levels of topics and individual student performance (e.g., ease factors).

2. API Integration:

   • Integrate the bot with the API to retrieve relevant learning data (e.g., student progress, topic completion, and review history).
   • Use the API to update review schedules, track learning metrics, and store results from learning sessions.

3. Event-Driven Learning Prompts:

   • Trigger automated learning events based on the spaced repetition schedule.
   • Ensure events notify students when it’s time to review a topic, providing direct links to resources or study materials.
   • Allow students to interact with the events by logging their review status (e.g., "reviewed", "too easy", "too difficult").

4. Dynamic Event Customization:

   • Allow students or teachers to customize the frequency and difficulty of review sessions based on their preferences.
   • Provide the ability to adjust review intervals based on user feedback and learning speed.

5. Error Handling and Flexibility:

   • Provide clear messages if the API fails to retrieve learning data or the spaced repetition system experiences issues.
   • Implement fallback mechanisms to ensure continuity of learning events even if certain data is unavailable.

6. Testing and User Feedback:

   • Test the spaced repetition algorithm across various user profiles to ensure effective spacing and event accuracy.
   • Gather user feedback on the usefulness of learning prompts and adjust algorithm settings based on results.

Acceptance Criteria

• Spaced repetition learning events are generated and triggered automatically based on each student's individual learning history.
• The bot retrieves learning data from the API to personalize the review schedule and track progress.
• Students receive timely prompts to review topics, and these prompts are dynamically adjusted based on their performance.
• The system is robust, with clear error handling and flexibility for customization.

Priority

High

Type

Feature

Notes

Consider allowing teachers to manage learning intervals or review schedules through the API for added control over the study process. Incorporate analytics to track the effectiveness of the spaced repetition system in improving student retention.