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Starry Night Observatories

The Big AI Glossary

15-Minute Lesson Ideas, Age-Specific Explanations & Spark Facts

  • This is your home base for decoding the language of tomorrow. Whether you’re a teacher, student, or fellow adventurer, here’s how to navigate and supercharge your journey below.

  • Search or Scroll. Dive right in, use the search bar to go to a known term, or scroll through the “Term Observatory” to discover new concepts. 

     

    Click on the term to dive deeper.

    Filter by Category. Looking for ethical debates? Classroom tools? Pop-culture sparks? Toggle filters to see just the terms that match your current learning orbit.

  • Every term is your launch pad, equipped with modular sections you can sample or skip, depending on your interests.

    🧠 What It Means: An expanded definition diving into the term.

    🎓 Why It Matters in School: A narrative that brings the concept to life in your classroom universe.

    👩‍🏫 How to Explain by Age Group: Mission briefs tailored for K–5, 6–8, or 9–12 students.

    🚀 Classroom Expeditions: Ready to launch, 10–15 minute activities. No to low-tech, high-impact.

    Vervotex Spark: A flash of pop culture or real world trivia that will make you go “aha!”

    🎬 Behind the Scenes: Rare content, developer notes, hidden insights, or easter eggs, only appear on select pages.

    Note: Not every term has every section; we’re testing which modules resonate most. Your feedback will help us evolve.

  • Try the Expeditions: Launch a quick activity in your next class and report back, did your crew love it?

     

    Collect and Compare: Bookmark your favorite Vervotex® Spark or BTS moments, then share them with colleagues or students to spark discussion.

     

    Submit Feedback: See a missing easter egg or wish for a new module? Click the “Beam Us Your Findings” button in the footer to beam your thoughts up to HQ. (or email hello@vervotex.com)

    Whenever you need a pit stop, click the "Return" button below each term to jump back here.

    Ready to explore? Engage thrusters and let’s decode the AI frontier, together!

Term Observatory

Algorithm

A set of instructions or rules a computer follows to solve a problem or perform a task.

Artificial Intelligence (AI)

A field of computer science that focuses on creating machines capable of performing tasks that typically require human intelligence.

Augmented Intelligence

A human-centered approach in which AI systems amplify human judgment and performance while people define goals and retain final decision authority.

Backpropagation

A process used in training neural networks where the model adjusts its internal weights to reduce errors.

Bias (in AI)

When AI models reflect or amplify unfair, unbalanced, or inaccurate patterns in their training data.

Big Data

Very large sets of data that are analyzed by machines to uncover patterns, trends, and associations.

Black Box

A system (like some AI models) whose inner workings are not visible or easily understood by humans.

Chatbot

A conversational AI program that simulates dialogue with users via text or speech.

Classification

A machine learning task where items are categorized into defined groups (e.g., “spam” vs. “not spam”).

Cognitive Performance AI

A structured AI system that tracks how students think, learn, and grow; feedback supports effort, not just outcomes.

Computer Vision

A field of AI that trains computers to interpret and understand visual information like images and video.

Corpus

A large collection of text used to train language-based AI models.

Data Labeling

Tagging data (like photos or text) with labels so an AI model can learn from it.

Data Privacy

Protecting sensitive personal information used by AI tools, critical in education settings.

Dataset

A collection of data used to train, test, or validate AI models.

Deep Learning

A subset of machine learning that uses neural networks with many layers to process complex patterns.

Ethical AI

The practice of developing and using AI systems responsibly, transparently, and fairly.

Explainable AI (XAI)

AI systems designed so humans can understand how decisions are made.

Feedback Loop

When the outputs of an AI model influence its future behavior, for better or worse.

Fine-Tuning

Customizing a pre-trained AI model by training it further on a smaller, specific dataset (e.g., to support school curriculum content).

Generative AI

AI that can create new content, such as writing, music, images, or code.

Ground Truth

The accurate, real-world information used to validate an AI’s predictions or outputs.

Hallucination (in AI)

When AI generates incorrect or fictional information but presents it as fact.

Inference

The process by which an AI model uses its training to make predictions or generate content based on new data.

Input

The data or prompt given to an AI system to generate a result.

Large Language Model (LLM)

A powerful AI trained on massive amounts of text data to understand and generate human-like language.

Multimodal AI

AI systems that can process multiple types of input (e.g., text + images).

Neural Network

A series of connected algorithms designed to mimic how the human brain processes information.

Open Vocabulary

When an AI system can understand or generate a wide range of words without being restricted to a specific list.

Prompt

The input you give to an AI model to get a response (question, instruction, etc.).

Token

A chunk of text (like a word or part of a word) used by AI to understand language.

Training Data

The information fed to an AI model to help it learn patterns or behavior.

User Interface (UI)

The space where humans interact with AI systems, such as a dashboard or chat window.

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