AI Definitions

Artificial Intelligence (AI)¹ - Refers to the ability of computer systems to mimic human intelligence and the development of such systems.

Predictive AI was an early type of AI used to recognize patterns in numbers to predict

future outcomes.

Generative AI is the more modern form of AI currently used in chatbots and is

language/text based.

Generative Thinking™ centers the student as the active agent and keeps them “in

the driver’s seat”. AI serves as a catalyst for deeper thought and exploration.

AI Agents are software programs written in simple English (not code) that can act as a

digital assistant for complex or repetitive tasks.

Prompt Engineering the art of structuring text inputs to guide LLM’s (ChatGPT,

Gemini, Claude, etc.) to more accurate, relevant, complete answers.

Natural Language Processing (NLP) is computer code that helps AI systems

decipher the questions being asked and how to form an answer.

Expert Systems¹ use rules and logic to anticipate a wide range of possible scenarios.

Machine Learning¹ uses probability and statistics to recognize patterns and

generalize.

Neural Network¹ are computing systems modeled like the neural connections in the

human brain.

Foundational Models¹ are deep neural networks trained with a large data set using

machine learning techniques that mimic human trial and error.

Large Language Models¹ (LLMs) are foundational models focused on language.

GPT¹ stands for Generative Pre-Trained Transformers.

1) Definitions Provided by: Learning With AI, Joan Monahan Watsom, Johns

Hopkins University Press 2024.