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AI in Education Knowledge Base

A comprehensive knowledge base of 220 concepts, 1783 research articles, and 37 FAQs covering AI in education — frameworks, methodologies, and papers.

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# AI in Education Knowledge Base
> A comprehensive knowledge base of 220 concepts, 1783 research articles, and 37 FAQs covering AI in education — frameworks, methodologies, and papers.

## Concepts

- [AI in Education](https://edtechdev.github.io/aied/concepts/ai-education/): **AI in Education (AIED)** — the broad, interdisciplinary field that applies artificial intelligence to teaching and learning, and studies its design, use, evaluation, and consequences. As the knowledge base's umbrella concept, AI in education encompasses **AI for education** (using AI to improve instruction and assessment) and **education about AI** (developing AI literacy and critical understand
- [AI Literacy](https://edtechdev.github.io/aied/concepts/ai-literacy/): **AI literacy** — the knowledge, skills, and critical dispositions needed to understand, evaluate, and effectively use AI Technologies in educational contexts. AI literacy spans foundational understanding of how AI works, practical competence in using AI tools, critical evaluation of AI outputs, and ethical awareness of AI's societal implications.
- [Agentic AI](https://edtechdev.github.io/aied/concepts/agentic-ai/): **Agentic AI in Education** — 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 that orchestrate instructional designs, and agents that co-regulate learning. This paradigm shift from a prompt-resp
- [Cognitive Offloading](https://edtechdev.github.io/aied/concepts/cognitive-offloading/): **Cognitive offloading** — the use of external tools (including AI) to reduce internal cognitive demand, shifting mental work from the learner to the system. In AI in Education, cognitive offloading is the central mechanism through which AI tools can either support or undermine learning: appropriate offloading frees cognitive resources for higher-order thinking, while excessive offloading bypasses
- [Cognitive Surrender](https://edtechdev.github.io/aied/concepts/cognitive-surrender/): **Cognitive surrender** — adopting an AI system's output without doing the reasoning that would let you evaluate it. Where Cognitive Offloading asks *how much* mental work a learner delegates and whether the delegation is calibrated, surrender asks whether the learner keeps the evaluative role at all: the answer arrives, is accepted, and becomes the person's own position without the checking that 
- [Framing AI Use for Students](https://edtechdev.github.io/aied/concepts/framing-ai-use-for-students/): **Framing AI use for students** — the persuasive and communicative craft of shaping how learners understand the value, purpose, and boundaries of AI tools and policies, so that they adopt productive and ethical use rather than rejecting, avoiding, or gaming it. It is the "buy-in" lever that Reducing AI Misuse's educative interventions dep
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