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Artificial Intelligence (AI) Resources for Education: Home

This guide includes links to artificial intelligence resources for teaching and learning in the education disciplines

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This guide provides students with information and links about Artificial Intelligence (AI) resources for teaching and learning in the education discipline. If you need assistance with research or finding articles, please contact the College of Education and Professional Studies librarian, Dr. Angela Rand - arand@southalabama.edu.

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What is Artificial Intelligence (AI)?

Key Terms

Artificial Intelligence (AI): the simulation of human intelligence processes by machines or computer systems; can mimic human capabilities such as communication, learning, and decision-making

AI Ethics: refers to the issues that AI stakeholders such as engineers and government officials must consider to ensure that the technology is developed and used responsibly, adopting and implementing systems that support a safe, secure, unbiased, and environmentally friendly approach to artificial intelligence

Algorithm: a sequence of rules given to an AI machine to perform a task or solve a problem

Chatbot: a software application that is designed to imitate human conversation through text or voice commands

Chat-Based Generative Pre-Trained Transformer (ChatGPT) Models: a system built with a neural network transformer type of AI model that works well in natural language processing tasks that can generate responses to questions (Generative); (2) was trained in advance on a large amount of the written material available on the web (Pre-trained); (3) and can process sentences differently than other types of models (Transformer)

Computer Vision: a set of computational challenges concerned with teaching computers how to understand visual information, including objects, pictures, scenes, and movement (including video). Computer Vision (often thought of as an AI problem) uses techniques like machine learning to achieve this goal

Deep Learning: a function of AI that imitates the human brain by learning from how it structures and processes information to make decisions. Instead of relying on an algorithm that can only perform one specific task

Generative AI: a type of technology that uses AI to create content, including text, video, code and images. A generative AI system is trained using large amounts of data so that it can find patterns for generating new content

Large Language Model (LLM): an AI model that has been trained on large amounts of text so that it can understand language and generate human-like text

Machine Learning (ML): a subset of AI that incorporates aspects of computer science, mathematics, and coding; focuses on developing algorithms and models that help machines learn from data and predict trends and behaviors, without human assistance

Natural Language Processing (NLP): a type of AI that enables computers to understand spoken and written human language; enables features like text and speech recognition on devices

Prompt: an input that a user feeds to an AI system in order to get a desired result or output

 

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