Agentic AI — AI systems that autonomously plan, execute, and adapt multi-step workflows to achieve learning goals, going beyond single-turn Q&A to act as persistent, goal-directed collaborators: AI tutors that scaffold over extended interactions, multi-agent systems orchestrating instructional designs, and agents that co-regulate learning. The paradigm shift from prompt-responding tool to active collaborator is examined in agentic-ai-pedagogical-best-practice-2026 and tool-invariant-framework-agentic-ai.
Agentic AI refers to artificial intelligence systems that can autonomously plan, execute, and adapt multi-step workflows to achieve learning goals — going beyond single-turn question-answering to act as persistent, goal-directed collaborators in educational contexts. In education, agentic AI manifests as AI tutors that scaffold learning over extended interactions, multi-agent systems that orchestrate complex instructional designs, and autonomous agents that adapt their pedagogical strategies based on learner needs. This emerging paradigm shifts AI from a tool that responds to prompts to a collaborator that actively guides, adapts, and co-regulates learning processes.
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📎 18 other pages tagged agentic-ai
- A Tool-Invariant Framework for Teaching and Assessing Computational Methods in the Age of Agentic AI
- Agentic AI and Pedagogical Best Practice: The Tension Between Automation and Learning
- Agentic AI Ecosystems in Higher Education: A Perspective on AI Agents to Emerging Inclusive, Agentic Multi-Agent AI Framework for Learning, Teaching and Institutional Intelligence
- Agentic AI in Education: A Scoping Review of Research Landscape, Capabilities, and the Frontier Agent Paradigm
- Agentic Education with AI Coding Assistants
- Agentic Literacy Debt: A Structural Problem the AI Literacy Field Has Not Yet Named
- Agentic Workflows
- Agentic Workflows in Education
- Agents That Teach: Designing Incidental Learning Back into AI-Assisted Software Development
- Are Agents Ready to Teach? A Multi-Stage Benchmark for Real-World Teaching Workflows
- ASE-26: A Curriculum for Agentic Software Engineering as a Discipline
- Formative Assessment in AI Education
- ISD Agent Benchmark
- Multi-Agent Systems for Instructional Design
- Persistent AI Agents in Academic Research: A Single-Investigator Implementation Case Study
- Prompt Coach: An Empirical Evaluation of an Agentic Tutor for Learning Prompt Engineering in Software Development
- The agency gap in AI-supported writing: how reactive and proactive agent designs shape multimodal reasoning
- When AI Agents Teach Each Other: Discourse Patterns Resembling Peer Learning in the Moltbook Community