AI Guidance for Schools Toolkit (TeachAI.org)

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This toolkit is designed to help education authorities, school leaders, and teachers create thoughtful guidance to help their communities realize the potential benefits of incorporating artificial intelligence (AI) in primary and secondary education while understanding and mitigating the potential risks. ​ With guidance, an education system may realize the potential benefits of AI to improve learning outcomes, support teacher instruction and quality of life, and enhance educational equity. Without guidance, teachers and students can be exposed to privacy violations, inconsistent disciplinary consequences, and counterproductive AI adoption practices. TeachAI brings together education leaders and technology experts to assist governments and education authorities in teaching with and about AI. The initiative is led by the TeachAI Steering Committee: Code.org, ETS, the International Society for Technology in Education, Khan Academy, and the World Economic Forum, and advised by a diverse group of 60+ organizations, governments, and individuals. TeachAI’s goals include increasing awareness, building community and capacity, and guiding policy. Authors: Pat Yongpradit, Pam Vachatimanont, and Charlotte Dungan, Code.org Keith Krueger and Pete Just, Consortium for School Networking (CoSN) Pati Ruiz, Digital Promise Beth Havinga, European EdTech Alliance Alix Gallagher and Benjamin Cottingham, Policy Analysis for California Education (PACE) Jim Larimore, Strategic Advisor​ AI Guidance for Schools Toolkit © 2023 by Code.org, CoSN, Digital Promise, European EdTech Alliance, and PACE is licensed under CC BY-NC-SA 4.0 . This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Material Type: Teaching/Learning Strategy

Authors: Alix Gallagher, Benjamin Cottingham, Beth Havinga, Charlotte Dungan, Code.org, Consortium for School Networking (CoSN), Digital Promise, European EdTech Alliance, Jim Larimore, Keith Krueger, Pam Vachatimanont, Pati Ruiz, Pat Yongpradit, Pete Just, Policy Analysis for California Education (PACE)

AI and Information Literacy

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This online module on artificial intelligence (AI) and information literacy covers how to understand, assess, cite, and use AI tools. Students should expect to spend about 1-2 hours reading/watching the information in this module and completing a couple short quizzes and activities. Learning outcomes: - Explain generally how AI-based tools work as well as their benefits and risks. - Recognize when AI gives inaccurate or misleading answers, and fact-check AI output. - Cite AI-generated work. - Begin exploring creative ways to use these tools. Canvas Commons version that includes quizzes is also available for reuse in Canvas-based courses. Explore the LibGuide version here: https://lib.guides.umd.edu/AI Developed by the Libraries and the Teaching and Learning Transformation Center (TLTC) at the University of Maryland. Special thanks to The Institute for Trustworthy AI in Law & Society (TRAILS) for their collaboration.

Material Type: Assessment, Interactive, Lecture, Module

Authors: Benjamin Shaw, Daria Yocco, Mona Thompson, University of Maryland