🏷️ multi-agent
8 pages tagged with multi-agent(8 articles, 0 concepts)
📄 AgentSchool: An LLM-Powered Multi-Agent Simulation for Education
> Ye et al. (2026) introduce **AgentSchool**, an LLM-driven multi-agent [[simulating-students|simulator]] that models learning as **state transition rather than prompted behavior**. It couples cogniti…
📄 Adversarial Stress Testing of Role-Playing Language Agents using Multi-Agent Evaluation
> **Synthesis:** This paper presents a modular multi-agent platform for adversarially stress-testing [[agentic-ai|role-playing language agents]] through structured multi-turn dialogue. With three coor…
📄 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…
📄 AI-accelerated End-to-End Framework for Rapid Professional Upskilling
> **Synthesis:** The Crew Scaler framework applies AI acceleration across all five stages of professional upskilling—knowledge acquisition, content development, content review and verification, AI-tut…
📄 Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design
> **Synthesis:** Instructional Agents is a multi-agent LLM framework that automates end-to-end course material generation by simulating role-based collaboration among Teaching Faculty, Instructional D…
📄 From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents
> **A new paradigm for online education replacing MOOCs with LLM-driven multi-agent AI classrooms**, piloted at Tsinghua University with 100K+ learning records from 500+ students. MAIC uses specialize…
📄 Agentic AI in Education: A Scoping Review of Research Landscape, Capabilities, and the Frontier Agent Paradigm
Published in *Computers and Education: Artificial Intelligence*, accepted 27 July 2026. 📄 doi:10.1016/j.caeai.2026.100653…
📄 Modeling AI-TPACK in Practice: Insights from Teachers'' Multi-Agent Workflow Design
This study investigates how teachers design multi-agent instructional workflows and identifies three distinct **teacher archetypes** that emerge from behavioral log analysis of 61 in-service teachers:…