All resources in Washington Artificial Intelligence

Open Prompt Book from CampGPT

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In CampGPT, educators experimented with generative AI-enabled tools like chatbots and image generators to learn and explore together. Their work and insights have been compiled in the Open Prompt Book from CampGPT. Throughout this prompt book, you’ll learn more about generative AI, what educators use it for, and key tips and tricks. The “Try It Out” links enable you to try the prompts in your own account (links for ChatGPT and Bard are provided). This means that, if you like an idea, you can start with the prompt in the book and then continue interacting with a chatbot to further adapt the output to your needs. In addition to the open prompts, we’ve included quotes from the educators from whom the ideas and prompts in this book were crowdsourced.

Material Type: Teaching/Learning Strategy

Author: CROWDEDLearning

MIT DAILy AI Curriculum

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Everyone will be impacted by AI in daily life and in the workplaces of the future. It is critical for all students to have fundamental knowledge of AI and to understand AI’s potential for good and harm. The Daily-AI program will jumpstart your readiness for AI and give you the tools you need to prepare for the AI-enabled world. The Daily-AI workshop, designed by MIT educators and experienced facilitators, features hands-on and computer-based activities on AI concepts, ethical issues in AI, creative expression using AI, and how AI relates to your future. You will experience training and using machine learning to make predictions, investigate bias in machine learning applications, use generative adversarial networks to create novel works of art, and learn to recognize the AI you interact with daily and in the world around you. This curriculum is currently being piloted through NSF EAGER Grant 2022502. This is a joint venture between the Personal Robots Group at the MIT Media Lab, MIT STEP Lab, and Boston College. Contents: Unit 0: What is AI? - What is AI - Algorithms as Opinions - Ethical Matrix - Decision Trees - Investigating Bias Unit 1: Supervised Machine Learning - Introduction to Supervised Machine Learning - Neural Networks - Classifying AI vs. Generating AI Unit 2: GANs - What are GANs? - Generator vs. Discriminator - Unanticipated Consequences of Technology - AI Generated Art - What are Deepfakes? - Spread of Misinformation - Generate a Story Unit 3: AI + My Future - Environmental Impact of AI - Redesign YouTube - Careers in AI

Material Type: Full Course, Interactive, Lecture, Module

Authors: Cynthia Breazeal, Irene Lee, MIT Media Lab Personal Robots Group, MIT STEP Lab

AI & Ethics for Middle School

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This resource includes a set of activities, teacher guides, assessments, materials, and more to assist educators in teaching about the ethics of artificial intelligence. These activities were developed at the MIT Media Lab to meet a growing need for children to understand artificial intelligence, its impact on society, and how they might shape the future of AI. This curriculum was designed and tested for middle school students (approximately grades 5th-8th). Most activities are unplugged and only require the materials included in this document, although unplugged modifications are suggested for the activities which require computer access.

Material Type: Assessment, Lesson Plan, Unit of Study

Authors: Blakeley H. Payne, MIT Media Lab Personal Robots Group

How to Train Your Robot Curriculum

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How to Train Your Robot was originally developed as an extension of the AI + Ethics for Middle School curriculum. In its current form, How to Train Your Robot provides a full, one-week of activities that allow middle school students to explore artificial intelligence and ethics through hands-on activities. In this course, students participate in a range of hot-topic discussions and hands-on, creative activities to learn about how artificial intelligence is impacting society today. Students will design robot companions to solve real-world problems and use machine learning to make them intelligent. At the end of the course, you will have designed your very own robot companion to share with the world.

Material Type: Lesson, Lesson Plan, Module, Unit of Study

Authors: i2 Learning, MIT Media Lab Personal Robots Group

AI for Oceans

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Computer science is about so much more than coding! Learn about AI, machine learning, training data, and bias, while exploring ethical issues and how AI can be used to address world problems.

Material Type: Activity/Lab, Lesson, Lesson Plan

Author: Code.org

Fake Voices: The Ethics of Deepfakes

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In this unit, students explore synthetic media by creating a smartphone app that can speak in different voices by changing the rate and pitch of the speech. Students work in groups to present arguments about the possible future impacts of various types of deepfake media, including ones in commerce and assistive technology as well as those used in crime. Educators can use this lesson to introduce students to coding, provide a basic understanding of artificial intelligence and machine learning, and prompt students to predict the possible future use and abuse of synthetic media in society.

Material Type: Lesson, Lesson Plan, Module, Unit of Study

Authors: MIT App Inventor, MIT RAISE

Hands-On AI Projects for the Classroom: A Guide for Electives Teachers

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ISTE and GM have partnered to create Hands-On AI Projects for the Classroom guides to provide educators with a variety of activities to teach students about AI across various grade levels and subject areas. Each guide includes background information for teachers and student-driven project ideas that relate to subject-area standards. The hands-on activities in the guides range from “unplugged” projects to explore the basic concepts of how AI works to creating chatbots and simple video games with AI, allowing students to work directly with innovative AI technologies and demonstrate their learning. 

Material Type: Reading

Author: Rebecca Henderson

CoSN Resources on AI

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In an era defined by rapid technological advancements, artificial intelligence (AI) has emerged as a transformative force in education. However, the successful integration of AI into a school district’s strategy requires careful planning, preparation, and evaluation.  CoSN's collection of resources helps districts in their AI implementation.

Material Type: Reading

Author: Rebecca Henderson

Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations

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The U.S. Department of Education Office of Educational Technology’s new policy report, Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations, addresses the clear need for sharing knowledge, engaging educators, and refining technology plans and policies for artificial intelligence (AI) use in education. The report describes AI as a rapidly-advancing set of technologies for recognizing patterns in data and automating actions, and guides educators in understanding what these emerging technologies can do to advance educational goals—while evaluating and limiting key risks. 

Material Type: Reading

Author: Rebecca Henderson

NIST Artificial Intelligence Risk Management Framework

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In collaboration with the private and public sectors, the National Institute for Standards and Technology (NIST) has developed a framework to better manage risks to individuals, organizations, and society associated with artificial intelligence (AI). The NIST AI Risk Management Framework (AI RMF) is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the design, development, use, and evaluation of AI products, services, and systems.

Material Type: Reading

Author: Rebecca Henderson

Using the Magic of AI to Innovate Professional Learning

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On January 4, 2024 the Curriculum Services Team delivered a 2-hour webinar titled "Using the Magic of AI to Innovate Professional Learning" to a national audience.  Based on a presentation delivered at the AESA National Conference in December 2023, this webinar was a deeper dive into the ways that the WIU Curriculum Services Team leverages AI to develop professional learning activities to support the school districts in Westmoreland County and beyond.

Material Type: Simulation

Author: Rebecca Henderson