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Graph LMS References

  1. How to use Learning Objective Graphs to plan progression by George Boukeas

  2. Learning Trajectories in Mathematics Education

  3. K-8 Learning Trajectories Derived from Research Literature: Sequence, Repetition, Conditionals

  4. Decomposition: A K-8 Computational Thinking Learning Trajectory

  5. Piaget's constructivism, Papert's constructionism: What's the difference? Edith Ackermann 2001. Future of learning group publication Vol. 5, 3 (2001), 438.Google Scholar

  6. Charoula Angeli, Joke Voogt, Andrew Fluck, Mary Webb, Margaret Cox, Joyce Malyn-Smith, and Jason Zagami . 2016. A K-6 computational thinking curriculum framework: implications for teacher knowledge. Journal of Educational Technology & Society Vol. 19, 3 (2016)

  7. Computer Science Teachers Association 2017. CSTA K-12 Computer Science Standards 2017 Retrieved March 18, 2018 from Google Scholar

  8. Learning Trajectories: What Are They? by Doug Clements

  9. Forbes: Computational Thinking in the Era of AI - Neil Morelli, July 23, 2024

  10. KG + RAG is not all you need

  11. RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems - also note the GitHub repo activity has stopped: RecAI GitHub Contributors - note the lack of graph awareness

  12. Introducing Semantic Capability in LinkedIn's Content Search Engine - a good example of how LLMs combine with search tools to create a better pairing of questions and content.

  13. LangChain’s Harrison Chase on Building the Orchestration Layer for AI Agents | Training Data - agents are when LLMs decide the control flow.