Agentic Workflow for Education: Concepts and Applications

arXiv:2509.01517 · cs.CY, cs.AI, cs.ET · Submitted 2025-09-01 · Read on arXiv

cs.CY, cs.AI, cs.ET

Submitted: 2025-09-01

Updated: 2025-09-01

Comments: Proceedings of the 33rd International Conference on Computers in Education (ICCE 2025). Asia-Pacific Society for Computers in Education

Journal ref: Jiang, Y.-H., Lu, Y., Dai, L., Wang, J., Li, R., & Jiang, B. (2025). Agentic workflow for education: Concepts and applications. Proceedings of the 33rd International Conference on Computers in Education

DOI: 10.58459/icce.2025.6061

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• AI Agents — 19× in this paper · explained in 2 episodes
• Agentic Workflow for Education — 10× in this paper
• Agentic Workflows — 9× in this paper · explained in 1 episode
• Multi-agent Collaboration — 9× in this paper · explained in 2 episodes
• Artificial Intelligence — 8× in this paper
• Core — 7× in this paper · explained in 2 episodes
• Task Planning — 5× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 4× in this paper · explained in 6 episodes
• Multi-Agent System — 4× in this paper · explained in 5 episodes
• Adaptability — 3× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 3× in this paper · explained in 2 episodes
• Neumann Multi-Agent System — 3× in this paper
• Agent-Based Simulation — 2× in this paper · explained in 1 episode
• Multi-agent system (MAS) — 2× in this paper · explained in 2 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Agent-based modeling — 1× in this paper · explained in 1 episode
• Agentic AI — 1× in this paper · explained in 1 episode
• Decoupling — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Modular Architecture — 1× in this paper · explained in 4 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Task Decomposition — 1× in this paper · explained in 2 episodes

Sources

• AI Agent for Education: von Neumann Multi-Agent System Framework
• Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction
• CGMI: Configurable General Multi-Agent Interaction Framework
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
• The Rise and Potential of Large Language Model Based Agents: A Survey
• EduAgent: Generative Student Agents in Learning
• JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents
• GPT-4 Technical Report

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