Technology/AI Resources

This guiding document underscores the potential of generative AI to enhance teaching and learning. The primary objective of this document is to offer guidance to both instructors and students alike. Generative AI refers to a type of artificial intelligence that creates or produces new content, such as images, text, or other data, often using models trained on large datasets to generate original, novel outputs. This guiding document seeks to strike a balance between fostering innovation and maintaining academic integrity while respecting the autonomy of instructors and students. It is adaptable to evolving technologies and welcomes feedback and input from the educational community to ensure its continued effectiveness.

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This five-part youtube course provides an overview of AI large language models for educators and students. They take a practical approach and explore how the models work, and how to work effectively with each model, weaving in your own expertise. They also show how to use AI to make teaching easier and more effective, with example prompts and guidelines, as well as how students can use AI to improve their learning.

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The Oregon Department of Education collected a set of resources to support teachers and educators.

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This guide will help you quickly gain the background you need as a learning leader in an AI infused world. This guide was developed in partnership with the Association for Supervision and Curriculum Development (ASCD), International Society for Technology in Education (ISTE), National Association of Elementary School Principals (NAESP) and the National Association of Secondary School Principals (NASSP).

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This open access set of articles aims to deepen educators knowledge of AI.

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This presentation by TeachAI (A collaboration between Code.org, ETS, ISTE, Khan Academy, and World Economic Forum) is a good introduction to the complexities of AI in Education.

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This guiding document underscores the potential of generative AI to enhance teaching and learning. The primary objective of this document is to offer guidance to both instructors and students alike. Generative AI refers to a type of artificial intelligence that creates or produces new content, such as images, text, or other data, often using models trained on large datasets to generate original, novel outputs. This guiding document seeks to strike a balance between fostering innovation and maintaining academic integrity while respecting the autonomy of instructors and students. It is adaptable to evolving technologies and welcomes feedback and input from the educational community to ensure its continued effectiveness.

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AI Snapshots is an assortment of classroom warmups that will give your students a basic understanding of AI. In only 5 minutes of class time, students will learn to define, identify, and think critically about artificial intelligence.

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The Hands-On AI Projects for the Classroom guides from ISTE and GM provide elementary, secondary, elective and computer science teachers with curricular resources about AI across various grade levels and subject areas. Each guide includes background information and four student-driven projects that relate to subject area standards, while providing foundational learning on what AI is, how it works and how it impacts society.

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The activity guides prepared by AI4K12.org are designed to be age-appropriate and engaging for students, and accessible to teachers. All developed activities and resources have been released under a royalty-free Creative Commons license so they can be adapted to local needs by curriculum designers world-wide.

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A variety of unique, engaging projects for high school students. Choose what’s right for your classroom from our mix of independent and teacher-led projects in a variety of subjects.

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Bytes of AI are fun, quick introductions to artificial intelligence through a variety of different topics. These can be used to spark an interest in AI before exploring the AI4ALL curriculum further. Bytes of AI introduce students and teachers to some of the core ideas of AI including:

• How data becomes output in an AI model
• What AI is capable of, what risks it can have
• How human biases enter datasets
• How AI can be used in diverse fields

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This collection of quick lessons (20 minutes or less!) provide an introduction to AI and help address its social and ethical impacts. Through these lessons, students will:

• Understand what AI is and how it works
• Consider some of its potential benefits and risks
• Think critically about how we can be responsible and ethical users of AI

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This is a free, foundational online learning series for any teacher and educator interested in the groundbreaking world of artificial intelligence (AI) and its transformative potential in education. Partners Code.org, ETS, ISTE and Khan Academy are offering engaging sessions with renowned experts that will demystify AI, explore responsible implementation, address bias, and showcase how AI-powered learning can revolutionize student outcomes. Join us on this journey of exploration and empowerment, and unlock the future of teaching with and about AI.

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IBM AI Education is an immersive, online professional learning suite of FREE live and on-demand webinars, crafted by and for educators. The nine webinars will guide educators through AI’s foundational concepts and K-12 classroom connections, with topics including introduction to AI, natural language processing, ethics, robotics, and more.

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This guiding document underscores the potential of generative AI to enhance teaching and learning. The primary objective of this document is to offer guidance to both instructors and students alike. Generative AI refers to a type of artificial intelligence that creates or produces new content, such as images, text, or other data, often using models trained on large datasets to generate original, novel outputs. This guiding document seeks to strike a balance between fostering innovation and maintaining academic integrity while respecting the autonomy of instructors and students. It is adaptable to evolving technologies and welcomes feedback and input from the educational community to ensure its continued effectiveness.

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A guide for teachers using ChatGPT in their classroom—including suggested prompts, an explanation of how ChatGPT works and its limitations, the efficacy of AI detectors, and bias.

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Free resources to help you teach high school students in all subject areas to understand and question Artificial Intelligence.

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A 10-week project-based learning course that introduces the fundamentals of AI through engaging, culturally relevant lessons.

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The Teaching Commons team is a diverse and passionate group of educators from across Stanford University. Linked here are articles on the topic of AI. 

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This summit organized by Stanford University's Human-Centered Artificial Intelligence (HAI) showcased the latest research in AI & education from Stanford faculty and researchers, examined how AI can be used to advance human learning through new pedagogies, new modalities of assessment, new foundation models, and more. In doing so, the summit asked the question of how AI can transform teaching and learning in an ethical, equitable, and safe manner.

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This California Department of Education document is meant to provide helpful guidance and is, in no way, required to be followed. The document is intended to be informative rather than prescriptive.

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This U.S. Department of Education report addresses the clear need for sharing knowledge and developing policies for “Artificial Intelligence,” a rapidly advancing class of foundational capabilities which are increasingly embedded in all types of educational technology systems and are also available to the public.

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This resource developed by Oregon Department of Education gives a broad overview as well as potential strategies to address equity impacts and potential instructional strategies for the use of Generative AI in the classroom.

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Suggestions from the TLHub to help you be on the forefront of these tools and their impact on your course. Please note that these are emerging tools, and we will continue to provide new and updated resources as we develop our guidance on the intersection of teaching and AI.

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