Automated educational content recommendations from knowledge graph to learners

• Automate personalized learning recommendations for students
• Enhance learner engagement through targeted content delivery
• Streamline the process of tracking educational resources

Triggers weekly at a specified time using a cron job Fetches data from a knowledge graph to identify learner gaps Utilizes AI to generate tailored content recommendations Parses and formats the recommendations into a usable structure Sends personalized emails to learners with recommended content Logs the recommendations in a Google Sheet for tracking

1. 1
   Import the workflow template into n8n
2. 2
   Configure the LMS credentials for the knowledge graph access
3. 3
   Set up OpenAI credentials for content generation
4. 4
   Adjust the Google Sheets settings for logging recommendations
5. 5
   Test the workflow to ensure proper functionality