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A beginner-friendly introduction to artificial intelligence and its role in education. Learn about key terms, basic concepts, and how AI is transforming teaching and learning.

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Debunking common misconceptions about AI in the classroom. Understanding what AI can and cannot do will help you implement it effectively in your teaching practice.

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Discover how to effectively use ChatGPT as a teaching assistant. Learn about prompt writing, lesson planning, and creating educational content while maintaining academic integrity.

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Explore tools like Grammarly and QuillBot that can help both teachers and students improve their writing. Learn how to use these tools responsibly while maintaining authentic learning.

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Grammarly stands with our friends, colleagues, and family in Ukraine, and with all people of Ukraine.Learn more

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Rather than buying each student or staff their own individual Grammarly accounts, Grammarly for Education is an institutional license that can be purchased sitewide or by volume. With Grammarly for Education, students and faculty can get all the benefits of the paid Grammarly Premium product, along with enterprise features like single sign-on, style guide, and admin panel.

Yes, Grammarly works where you work. Grammarly's suggestions are available on all major web browsers ( Google Chrome, Mozilla Firefox, Microsoft Edge, and Safari) and on desktop apps with our Grammarly for Windows and Mac product offering.

Grammarly for Education pricing is based on subscription level and institution or group size. For maximum flexibility, we offer two levels of Grammarly for Education accounts: A volume-based group subscription that uses per-seat pricing and a site-wide license option that offers the best value per seat and more writing and administrative features. To learn more, contact our sales team.

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Grammarly stands with our friends, colleagues, and family in Ukraine, and with all people of Ukraine.Learn more Unlock the potential for learning with trusted writing support for students and educators. Contact Sales Sign Up with Your School See Why Students and Faculty Alike Trust Grammarly "Grammarly helps me teach my students because I no longer have to mark 90% of their errors and can focus on bigger issues."

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Discover how AI can assist in creating, grading, and providing feedback on assessments. Tools like Gradescope and Turnitin can save time while maintaining assessment quality.

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Join our next Get Started with Gradescope workshop. Learn how to grade faster and provide better feedback to your students. Register now

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Understanding the ethical considerations of using AI in education. Learn about privacy concerns, data protection, and ensuring equitable access to AI tools.

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For both instructors and students, it is important to understand, evaluate, and overall familiarize yourself with the uses of generative artificial intelligence tools, whether you decide to incorporate their use into your course or not. Engaging with generative A.I. tools means using a thoughtful, critical and ethical lens to determine whether their use will benefit your assignments and assessments, as well as considering how your students may independently be trying to engage with these tools in their learning, either productively or in ways that may challenge their work's academic integrity.

For faculty and students alike, this engagement process encompasses recognizing when and how generative AI is used in various domains, assessing the reliability and validity of AI-generated outputs, identifying the ethical and social implications stemming from the design and use of generative AI applications, and creating and communicating with generative AI systems in appropriate ways.
Building literacy in Generative AI includes addressing ethics, privacy, and equity with intention.
There are many open questions, including legal questions, regarding the ethical design, development, use, and evaluation of generative AI in teaching and learning. While generative AI may potentially be powerfully useful, concerns and sensitivities surround a number of key issues including:

Transparency and oversight: as many generative AI are developed and owned by corporations, how can we know how the tools are trained or what safeguards exist protecting users against inaccurate information or harmful interactions?

Political impact: what protections exist against generative AI being used to spread inaccurate or discriminatory content?

Environmental impact: as generative AI tools are trained with ever larger data sets, requiring more and more energy consumption, what is the energy use impact on the environment?

Diversity, non-discrimination and fairness: how can we ensure that tools avoid unfair bias and are universally accessible?

Privacy, data governance, technical robustness and safety: how is user data or copyrighted material used, stored, or shared? Who has access to user data? (European Commission, 2022).

Researchers and educators have begun outlining multiple ways to encourage, practice, and support ethical and responsible use of generative AI in the classroom (Dwivedi et al, 2023). Drawing from these resources, in the sections that follow, we spotlight different ways to think through the use of generative AI in teaching and learning.

Ethics & Equity

Not all technologies impact all users in the same way. Some student populations may be at greater risk of harm than others (Gašević et al., 2023). Human and systemic biases in generative AI algorithms and large language models' (LLMs) data impact the output of AI tools and consequently can perpetuate inequities when these biases are not removed or addressed.

LLMs are designed to use statistical algorithms to analyze vast amounts of data and determine patterns and textual connections. The data used to train the generative AI tool will mimic the data it receives. This means if the majority of data input the model receives relates to a certain industry, language, demographic, or time period, the output it generates will do so as well. That is, the content generated is based on learned language patterns and on the examples it has received.

Due to this, there could be an inherent bias in LLMs that students should be aware of. These models can provide inaccurate, misleading, and unethical information. LLMs can impersonate people and organizations, share intellectual property without attribution, and influence users based on the way information is presented (Antoniak, 2023). Therefore, it is important to evaluate what AI generates through a critical lens.
Here are a few questions for instructors to consider, and to invite students to consider, when critically evaluating AI or Generative AI content:

Is the AI-generated content accurate? How can you test or assess the accuracy?

Can other credible sources (outside of generative AI) validate the data or item produced?

How does the information generated impact or influence your thinking on this topic?

Who is represented in this data? Is the data inclusive in terms of the material's scope and the perspectives that it presents?

Knowing LLMs may also be collecting the data your students input (i.e., in their prompts), how will you make students aware of this practice so they will in turn safeguard their own privacy?

Again, we stress that the LLMs that drive generative AI are only as inclusive and equitable as the information informing them. If only certain works inform a generative AI tool (e.g., English-language works only, U.S.-centric works, or works from one specific demographic), the output you receive from that tool will also be both limited to and influenced by the voices or works it has been trained on.

With this in mind, it is important that students are made aware of these potential limitations, and that they are given flexible options for completing assignments. It is equally important to provide transparency in your assignment rubric and grading criteria to account for these limitations and options (OpenAI, 2023; Frąckiewicz, 2023).

For more information on how you can provide equitable learning activities in your classroom, refer to Universal Design for Learning (UDL).

Privacy & Equity

As you and your students interact with AI, it is important to consider the issue of privacy. According to Antoniak (2023) "LLMs store your conversations and can use them as training data," which means any input and any materials uploaded to LMM processors can become part of the model's training set, and can then be shared in the future without attribution. Resources and intellectual property may thus be used in unexpected ways. Any uploaded data flows through an assortment of technological providers who together make up a technology's ecosystem or infrastructure, each with their own privacy policy and terms of use. Note that opting out of terms may not be possible if you intend to use the technology. As a result, you may wish to only share open information or data that does not need to remain private. It's also important to ensure that you never upload or share any student information covered under FERPA and other protections.

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For both instructors and students, it is important to understand, evaluate, and overall familiarize yourself with the uses of generative artificial intelligence tools, whether you decide to incorporate their use into your course or not. Engaging with generative A.I.

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Creating an AI Policy for Your Classroom

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Creating an AI Policy for Your Classroom

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Step-by-step guide to developing clear guidelines for AI use in your classroom. Includes template policies and communication strategies for students and parents.

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Teaching students to be responsible digital citizens when using AI tools. Includes lessons on citation, originality, and appropriate use of AI assistance.

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A.I. and Digital Citizenship with Dr. Mike Ribble

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Curated list of webinars, courses, and certification programs to help educators develop their AI literacy and implementation skills.

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Not an educator? Learn about Google AI Essentials - applicable across roles and industries.

As a teacher, we know your time is valuable and student needs are broad. With Generative AI for Educators, you'll learn how to use generative AI tools to help you save time on everyday tasks, personalize instruction, enhance lessons and activities in creative ways, and more.

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Generative AI for Educators

Developed by AI experts at Google in collaboration with MIT RAISE, this course will help you bring AI into your practice. You'll also gain a foundational understanding of AI - you'll learn what it is, the opportunities and limitations of this technology, and how to use it responsibly.

You'll learn how to use generative AI tools to:

Save time on everyday tasks like drafting emails and other correspondence

Personalize instruction for different learning styles and abilities

Enhance lessons and activities in creative ways

You'll learn how to use generative AI tools to:

Save time on everyday tasks like drafting emails and other correspondence

Personalize instruction for different learning styles and abilities

Enhance lessons and activities in creative ways

Save time and enhance student learning with AI skills

When you complete the online course, you'll gain essential AI skills you can apply to your workflow immediately. By using AI as a helpful collaboration tool, you can work smarter, not harder.

Earn a certificate which you can present to your district for professional development (PD) credit, depending on district and state requirements.

Get hands-on experience using generative AI tools and apply your new skills right away.

Google and MIT's Generative AI for Educators course marks a transformative moment for Oklahoma's education. Having navigated the educational system as a dyslexic student and parent, I recognize the critical need for personalized learning. This initiative equips educators to unlock each student's potential, tailoring learning experiences to their unique minds. It's a step towards a future where education mirrors the individuality of a fingerprint, empowering students to shape tomorrow with their ingenuity.

Nellie Tayloe Sanders

Oklahoma Secretary of Education

We are excited to be a part of this partnership with Google to equip our middle and high school teachers with transformative Generative AI professional learning courses. This responds to the need for continuous innovation in our school District. By empowering educators with the latest advancements in AI, we're not only uplifting their professional practices, but also giving them evolving tools to enhance the ever-changing landscape of teaching and learning.

Jose L. Dotres, Superintendent of Schools

Miami-Dade County Public Schools

The Google Generative AI for Educators opportunity for teachers will help put our educators on the front lines of generative AI opportunities for our 27,000 students. In a rapidly evolving world, our teachers cannot afford to fall behind in accessing powerful generative tools that will help them develop new approaches to teaching and learning.

Michael Matsuda, Superintendent of Schools

Anaheim Union High School District

Frequently asked questions

Generative AI for Educators was designed by AI experts at Google in collaboration with MIT RAISE (Responsible AI for Social Empowerment and Education).

Check out Experience AI. Created by Google DeepMind and The Raspberry Pi Foundation, this no cost program provides ready-to-use resources to introduce AI technology in middle school classrooms, including lesson plans, slide decks, worksheets, and videos on AI and machine learning.

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using artificial intelligence in education

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Generative AI for Educators - Grow with Google

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Learn AI skills with Google Generative AI for Educators. Save time, personalize instruction, and enhance lessons, no previous experience required.

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Join professional learning communities focused on AI in education. Connect with other educators, share experiences, and stay updated on the latest AI developments.

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A global community of organizations working together to bring AI into classrooms safely and ethically.

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Holly Clark's Getting Started with School AI

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Holly Clark's Getting Started with School AI