AI glossary for educators
Learn the AI terms that show up in classroom tools, professional learning, school decisions, and conversations with students and families. Each guide connects the concept to real educational work and practical next steps.
- AI chatbotsAlso used: Chatbot, AI chatbotAn AI chatbot is a conversational interface that lets a person exchange messages with an AI model and, in some tools, connected data or actions.
- AI hallucinationsAlso used: Hallucination, AI hallucinationAn AI hallucination is a response that sounds plausible but includes information that is invented, unsupported, or inconsistent with the available source material.
- AI promptsAlso used: PromptA prompt is the information and direction you give an AI system to shape what it produces.
- AI tokensAlso used: TokenA token is a small unit of text or data that an AI model reads and generates as it processes a request and produces a response.
- Context and context windowsAlso used: Context, Context window, Context limitContext is the information available to an AI model for the current response; the context window is the limited amount of information the model can consider at one time.
- Generative AIAlso used: GenAI, Gen AIGenerative AI is a category of artificial intelligence that creates new content—such as text, images, audio, video, or code—from patterns learned during training.
- Large language modelsAlso used: LLM, LLMs, Large language modelA large language model, or LLM, is an AI model trained on large amounts of text to predict and generate language one piece at a time.
- Multimodal AIAlso used: Multimodal, Multimodal modelMultimodal AI can work across more than one kind of information, such as text, images, audio, video, or documents.
- Prompt engineeringAlso used: Prompt designPrompt engineering is the deliberate process of designing, testing, and improving prompts so an AI system performs a task more reliably.