🏷️ simulation
8 pages tagged with simulation(7 articles, 1 concepts)
📄 From Prompt to Embodied Simulation: Using Generative AI to Create AR Physics Learning Tools
> **Synthesis:** Levy et al. (2026) show how a structured natural-language prompt can generate a browser-based, hand-controlled **augmented-reality (AR) physics simulation** — spread your thumb and in…
2026-08-13 · physics-education, generative-ai, content-generation, stem-education, prompt-engineering
📄 Agentic AI-driven Immersive Simulation: A Knowledge-Aware Virtual Training Platform for High Dose Rate (HDR) Brachytherapy
> **Synthesis:** Xu et al. (2026) present an agentic AI-driven immersive simulation for training in **High Dose Rate (HDR) brachytherapy**, integrating VR and mobile computing to create a high-fidelit…
📄 ResidencyRL: Reinforcement Learning in Simulated Clinical Environments
> **Synthesis:** Liévin et al. (2026) present **ResidencyRL**, a reinforcement learning method for training clinical AI agents through simulated multi-turn clinical encounters (up to 60 dialogue turns…
2026-08-13 · reinforcement-learning, health-education, llm, professional-training, dialogue-tutoring
🏷️ Simulating Students
> **Simulating students** — using LLM-based agents to model learner behavior, cognition, and social dynamics for educational research, design, and training. Simulated students let researchers evaluate…
2026-08-12 · student-modeling, knowledge-tracing, cognitive-diagnosis, agentic-ai, pedagogical-agent
📄 School network reorganization under educational and spatial constraints using classical and quantum optimization
> **Synthesis:** This paper develops an optimization framework for school network reorganization that integrates geographic, administrative, and educational criteria into an Integer Linear Programming…
📄 A multi-agent AI classroom based on dual-process reasoning hazards: a pilot with prospective physics teachers
> **Synthesis:** Tufino (2026) pilots a simulated multi-agent AI classroom where five AI students each enact distinct dual-process theory (DPT) reasoning hazards, giving prospective physics teachers r…
📄 EduClaw-Bench: A Long-Horizon Benchmark for Pedagogical LLM Agents with Simulated Learners
> **EduClaw-Bench: A Long-Horizon Benchmark for Pedagogical LLM Agents with Simulated Learners** — Introduces a 30-day long-horizon benchmark for pedagogical LLM agents using simulated learners ground…
📄 Simulating Learners' Task-Selection Strategies and System Constraints in Mastery Learning
Intelligent Tutoring Systems often grant learners shared control over skill and problem selection. We propose a simulation-based framework to examine how learner task-selection strategies and system c…