Artificial Intelligence

Effective use of AI in teaching the Sciences 

How is AI used today?

AI, or artificial intelligence, refers to the development of computer systems that can perform tasks that normally require human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. AI systems use algorithms and machine learning models to analyze data, recognize patterns, and make predictions or decisions based on the data.   Data science provides the tools and techniques to extract insights from data and to build machine learning models, which are the foundation for developing AI systems. 

(1) AI - LLM - Large Language Models

(2) AI - Image Creation

DALL·E 2 is an AI system that can create realistic images and art from a description in natural language. DALL-E 2 does not stand for anything in particular. It is a portmanteau of the names of the artist Salvador Dalí and the fictional robot WALL-E. The name is intended to reflect the model's ability to generate both realistic and creative images.

DALL-E 2 is a text-to-image diffusion model developed by OpenAI. It can generate realistic images and art from a description in natural language. For example, you could ask DALL-E 2 to generate a photorealistic image of a cat sitting on a beach, or a painting of a landscape in the style of Monet.

The image to the right was created from the instruction: "create a banner with symbols from biology, chemistry, physics, astronomy, geology, metorology and computer science”

(3) AI - Text Editing

EssayBot - EssayAILab 

(4) AI - Virtual Assistants

(5) AI - Image analysis


Examples of how to use AI in Teaching

ChatGPT document

Detecting ChatBot-authored material

GPTZero - AI detector

Turnitin: This is a plagiarism detection tool that can also detect chatbot-generated text. It uses advanced algorithms to analyze the text and compare it to a database of existing essays and online sources.