Evolution of AI in Education: Agentic Workflows

2025/04/25 by Firuz Kamalov, Kamalov, Firuz, David Santandreu Calonge +11 · 2 voices · 34 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Multi-Agent Systems and Negotiation #cs.AI #cs.CY

paper · pdf · doi:10.48550/arxiv.2504.20082

openalex publication_date 2025/04/25 · arxiv published 2025/04/25 · openalex created_date 2025/10/10 · arxiv updated 2026/01/26 · openalex updated_date 2026/07/28

Abstract

The primary goal of this study is to analyze agentic workflows in education according to the proposed four major technological paradigms: reflection, planning, tool use, and multi-agent collaboration. We critically examine the role of AI agents in education through these key design paradigms, exploring their advantages, applications, and challenges. Second, to illustrate the practical potential of agentic systems, we present a proof-of-concept application: a multi-agent framework for automated essay scoring. Preliminary results suggest this agentic approach may offer improved consistency compared to stand-alone LLMs. Our findings highlight the transformative potential of AI agents in educational settings while underscoring the need for further research into their interpretability and trustworthiness.

Citations

• Humanity's Last Exam
• Fine-tuning ChatGPT for Automatic Scoring of Written Scientific Explanations in Chinese
• Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System
• Using Generative AI and Multi-Agents to Provide Automatic Feedback
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• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
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• ChatDev: Communicative Agents for Software Development
• MathChat: Converse to Tackle Challenging Math Problems with LLM Agents
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• Reflexion: Language Agents with Verbal Reinforcement Learning
• Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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• On the Dangers of Stochastic Parrots
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Cited by

• From Passive Tool to Socio-cognitive Teammate: A Conceptual Framework for Agentic AI in Human-AI Collaborative Learning
• SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches
• Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
• CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring
• AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges

Discussions

• Examples of using #AIagent systems in education: * Evolution of AI in Education: Agentic Workflows https://arxiv.org/abs/2504.20082v2 * DeepTutor https://github.com/HKUDS/DeepTutor * OpenMAIC multi ag [bsky, 2 points, 0 comments]
• Agentic Workflows in Education arxiv.org/abs/2504.200... Examples: * DeepTutor github.com/HKUDS/DeepTu... * OpenMAIC github.com/THU-MAIC/Ope... * liacript github.com/LiaScript/te... * Claude skills gi [bsky, 1 points, 0 comments]

Related

• Agentic Workflow for Education: Concepts and Applications
• Beyond Automation: Socratic AI, Epistemic Agency, and the Implications of the Emergence of Orchestrated Multi-Agent Learning Architectures
• Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design
• Toward Generalized Autonomous Agents: A Neuro-Symbolic AI Framework for Integrating Social and Technical Support in Education
• EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue Framework