Generative artificial intelligence is increasingly part of teaching and learning, bringing new opportunities and questions for educators, particularly in situations where its use requires careful consideration and professional judgment.
This page supports University of Saskatchewan faculty and other educators in building their understanding of AI and applying it thoughtfully in their teaching and broader academic work. It also recognizes the role educators play in helping students develop AI literacy as artificial intelligence becomes more common in learning and academic work.
From here, you can explore frameworks, build your understanding through tutorials, and find options to support AI literacy in your teaching and assessment.
AI literacy framework
These frameworks provide a broader view of AI literacy and how it applies to teaching, learning, and assessment. The Faculty AI Literacy Framework outlines what educators need to understand about AI in their academic work and when teaching and assessing students as AI becomes more common in academic and professional fields. The Student AI Literacy Framework outlines the knowledge, skills, and judgment students should develop by graduation to support learning, future careers, and responsible use of AI.
Literacy
The tutorials below provide insight into how AI literacy is being developed at USask. The foundational AI literacy tutorials introduce core concepts, responsible use practices, and approaches for evaluating AI outputs. They also help educators understand the concepts and expectations students may encounter. View the tutorial overview for additional information about the foundational AI literacy tutorial and what it includes.
The optional educator-focused AI literacy tutorial builds on the foundational tutorials by exploring how AI can be used and evaluated in teaching, assessment, and academic work. It supports informed decision-making by emphasizing professional judgment, evaluation of AI outputs, ethical considerations, and the role of academic values in shaping AI use.
Generative AI literacy tutorial (course challenge version)
Uses pre-assessment to guide you through only the content you need, making it a more efficient option if you want to build key skills quickly. Introduces core concepts in generative artificial intelligence and how to apply and assess its use.
Generative AI literacy tutorial (all content version)
Includes all modules and content, providing a complete, step-by-step introduction if you prefer to work through everything in full. Covers generative artificial intelligence in more depth, including how it is used and evaluated in academic work.
Educator generative AI literacy tutorial
Building on the foundational AI literacy tutorials, this optional educator-focused tutorial explores how AI can be used and evaluated in teaching, assessment, and academic work. It supports informed decision-making by emphasizing professional judgment, critical evaluation of AI outputs, and consideration of risks and limitations.
Understanding Generative AI series
The Understanding Generative AI series includes three short, self-paced modules (about 45 minutes each) that can be shared with students to support responsible, effective, and academically appropriate use of generative AI. The modules help students understand how generative AI works, evaluate its outputs, and use it responsibly in ways that are ethical, transparent, and grounded in academic integrity. They can be shared in syllabi, Canvas, or course communications to support common expectations and reduce the need to repeatedly explain these concepts.
- Understanding Generative AI — The Basics of Responsible Use
Explains how generative AI works, including its capabilities and limitations, and introduces expectations for responsible and transparent use in university settings. - Interacting with Generative AI — Prompting Effectively
Demonstrates how to ask better questions, verify AI-generated content, and refine prompts to support accurate, meaningful responses. - Learning with Generative AI — How Much Is Too Much?
Supports reflection on how AI fits into the learning process, helping students recognize when it supports understanding and when it may replace essential thinking and creativity.
Continue building AI literacy
Explore additional ways to deepen understanding of artificial intelligence for both your own academic work and for supporting student learning. These options provide opportunities to build knowledge of key concepts, reflect on AI use, and develop informed approaches to using and evaluating AI in teaching, learning, and academic work.
Build foundational understanding of key AI terms and concepts, including how AI systems work, such as generative AI and large language models. Learn about their limitations and biases, as well as the ethical and societal considerations that shape their use in academic contexts, including their relationship to academic integrity.
Use this short self-assessment to explore understanding of AI, including its limitations, risks, and broader environmental and societal impacts. It can support your own academic work or be shared with students to help them reflect on how they use and evaluate AI tools.
Explore reports and frameworks related to teaching, learning, assessment, supervision, and student development.
Looking for tools or support?
Explore teaching and learning tools, guidance on their use, and available support services in the Tools and access or Support sections. You can also find tools designed for student learning, which can be shared to support how students engage with AI in their courses.