Key Terminology

Definitions for important terms used throughout the training.

AI (Artificial Intelligence)

Technology enabling computers to perform tasks typically requiring human intelligence, such as learning, problem-solving, and decision-making.

AI-NPC (AI Non-Player Character)

A character within a TwinSpace virtual environment whose behavior, dialogue, and responses can be controlled or influenced by AI models, allowing for dynamic interactions.

Blockly

A client-side library for creating block-based visual programming languages and editors. Used in TwinSpace (pythaverse.space) for adding interactivity to objects and scenes.

CoCreate Framework

Pythaverse's framework emphasizing Human-AI collaboration. More info: https://www.pythaverse.net/pythaverse-releases-cocreate-framework/

Design Thinking

A human-centered, iterative problem-solving process commonly comprising five phases: Empathize, Define, Ideate, Prototype, and Test. It's used to develop innovative solutions by understanding user needs.

GLB (.glb)

A 3D file format that packages a 3D model, its textures, and other data into a single binary file. It's a standard format for sharing 3D assets and is compatible with TwinSpace. Meshy.ai (https://www.meshy.ai/discover) can export in this format.

LMS (Learning Management System)

A software application for the administration, documentation, tracking, reporting, and delivery of educational courses. Pythaverse LMS: https://learn.pythaverse.space/

Meshy.ai

An AI-powered platform (https://www.meshy.ai/discover) that allows users to generate 3D models from text prompts or 2D images, often exportable in formats like GLB.

Pythaverse

A Singapore-based company specializing in educational technology, focusing on AI, Metaverse (TwinSpace), and Digital Twin solutions to prepare students and teachers for the future.

Pythaverse AI Teacher Certification Path

A structured learning program offered by Pythaverse on its LMS (https://learn.pythaverse.space/course/view.php?id=784) designed to build educators' competencies in understanding and applying AI in education, from basic literacy to advanced innovation.

RAG (Retrieval Augmented Generation)

An AI technique where a large language model (LLM) retrieves relevant information from a pre-defined knowledge base (like the content of this website) to generate more accurate and contextually appropriate answers to user queries. This is used by the AI Training Assistant Chatbot.

Skybox AI

A feature or tool (often integrated or compatible with platforms like TwinSpace via tools like Blockade Labs Skybox AI) that uses AI to generate 360-degree panoramic images or environments, often from text prompts, which can be used as immersive backgrounds in virtual spaces. (LMS Course: https://learn.pythaverse.space/course/view.php?id=699)

TCC (ThoughtCoCreate)

A Pythaverse initiative and platform (https://tcc.pythaverse.net) that encourages educators to collaborate with AI to identify educational problems/opportunities and develop innovative solutions through a structured, multi-deliverable process.

TS-DTPG (TwinSpace Design Thinking Project Generator)

An AI-powered web application (https://qa.pythaverse.space/twin-thinker/) designed for teachers to create structured Design Thinking projects, guiding students to build purposeful virtual environments in TwinSpace.

TwinSpace

Pythaverse's web-based metaverse platform (https://pythaverse.space) enabling users to create, share, and experience interactive 3D learning environments, featuring tools for building scenes, adding objects, incorporating AI-NPCs, and scripting with Blockly. Based on Mozilla Hubs technology.