From Untamed Black Box to Interpretable Pedagogical Orchestration: The Ensemble of Specialized LLMs Architecture for Adaptive Tutoring

1. 1Separate decision-making from wording using a deterministic rules-based orchestrator
2. 2Coordinate specialized LLMs to generate pedagogically sound responses
3. 3Implement instructional constraints to prevent premature answers
4. 4Evaluate the ES-LLMS architecture for improved interpretability and effectiveness

AI engineers and educational researchers can benefit from this architecture, as it provides a more transparent and controllable approach to adaptive tutoring

💡 The ES-LLMS architecture improves the interpretability and control of pedagogical decision-making in adaptive tutoring systems

📚 Introducing ES-LLMS: an ensemble of specialized LLMs for adaptive tutoring, making pedagogical decisions more transparent and controllable