Introduction

This resource provides an overview of key considerations when exploring the impact of generative AI on Teaching and Learning. It is built around 7 domains of AI-Awareness: Knowledge, Skill, Ethics, Values, Affect, Pedagogy and Interconnectedness.  You can dive into the sections that align with your specific questions and interests in generative AI.

Throughout, there will be opportunities to reflect and to engage in different activities designed to allow you to explore the domains of AI-Awareness. At the end of each section, you can reflect on your own level of awareness within each domain.

These will be indicated as follows:

	Activity
	Making Connections
	Awareness Reflection
	Stop and Reflect

The generative AI landscape, including the capability of generative AI, information about the social impact, and other details are constantly and rapidly evolving. This resource should be considered a living resource and will be updated regularly to reflect changes.

This resource was last updated on 08-08-2025.

AI Literacy in Education

AI Literacy is the ability to understand, use, and critically reflect on generative AI technologies.

Common across many definitions of AI Literacy include the ability to:

• Understand what AI technologies are and how they work
• Use AI technologies effectively to achieve your goals
• Critically evaluate generative AI outputs
• Develop practices that acknowledge broader ethical issues of AI

(Ng et. al., 2021; Miao and Cukurova, 2024, Becker et. al., 2024)

Most AI Literacy frameworks are built upon a basic understanding that AI use is the ultimate goal. However, increased awareness of generative AI technologies does not correlate to increased use.

Other important aspects of AI Awareness for educators include:

• Developing a practice that aligns with our individual and collective values
• Recognizing and managing our emotional response to AI-technologies
• Understanding how AI technologies and AI practices are interconnected with other factors within larger educational and social structures

The Domains of AI-Awareness Framework used in this resource acknowledges all of these domains as important, but also not mutually exclusive.

Knowledge: What do educators need to know about how generative AI works, how it’s trained, and how it’s developed?

Ethics: What ethical considerations do educators need to be aware of when choosing to use/not use generative AI?

Affect: How can educators navigate their emotional response to generative AI technologies?

Skill: What skills are required by educators and learners to use generative AI technologies effectively?

Pedagogy: What impact can generative AI technologies have on teaching and learning? How can we reimagine education to minimize the negative impact and maximum the positive potential?

Interconnectedness: How are generative AI technologies and practices impacted by larger institutional, social, and political factors?

To get started, click on any of the sections below: