A Prompt-Engineering Approach to Develop Scalable, Flexible, and Real-Time Hybrid Micro-Level Personalization in a General Purpose AI Teaching Assistant

arXiv:2609.03402 · cs.AI · Submitted 2026-09-03 · Read on arXiv

cs.AI

Submitted: 2026-09-03

Updated: 2026-09-03

Terminology

• Personalization — 38× in this paper · explained in 2 episodes
• Abstraction — 23× in this paper · explained in 1 episode
• RAG — 11× in this paper · explained in 3 episodes
• Adaptation — 9× in this paper · explained in 1 episode
• Accuracy — 4× in this paper · explained in 1 episode
• Adaptability — 4× in this paper · explained in 1 episode
• Adaptivity — 4× in this paper · explained in 1 episode
• Semantic Similarity — 4× in this paper · explained in 2 episodes
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Prompt Engineering — 2× in this paper · explained in 4 episodes
• Retrieval-Augmented Generation (RAG) — 2× in this paper · explained in 16 episodes
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Cognitive Depth — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Dynamic Adaptation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Metacognition — 1× in this paper · explained in 5 episodes
• Query Complexity — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis
• A Unified LLM-Adaptable Framework for Cold-Start Cognitive Diagnosis
• How Do Students Interact with an LLM-powered Virtual Teaching Assistant in Different Educational Settings?
• MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
• LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis

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