Teaching in the Context of AI

Humanoid head containing artificial intelligence connected to a neural network with the words Artificial Intelligence displayed on the right hand side

AI: The Future Favours the Prepared Instructor

Welcome to U of A CTL’s dedicated section on the use of AI tools and applications in teaching and learning! CTL collaborates with U of A instructors in responding to and leveraging the potential of Generative AI use to enhance teaching practices and improve students’ active learning experiences at the U of A.

As artificial intelligence (AI) continues to evolve, corresponding concerns, dilemmas and opportunities increase with respect to its implications for teaching and learning in higher education. Generative AI is already disrupting traditional learning and teaching models and prompting instructors to reimagine the relationship between technology and pedagogy.

Generative AI has the potential to enhance critical and creative thinking in learning and teaching contexts. However, these AI tools also require vigilance and due diligence to determine the relevance, reliability, and validity of AI-generated output (content) for university settings. That said, by utilizing AI tools, instructors can not only foster essential critical thinking and information literacy skills but also create quality student-centered learning that serves diverse student needs while achieving targeted course outcomes.

This section of the website aims to describe the current landscape of AI important to instructors’ conceptual framing of AI as well as the first impacts of teaching and learning in higher education. Instructors are encouraged to invest the time in learning about AI before exploring the teaching strategies and activities.


Understanding the Impact of Generative AI

We provide insights into how generative AI may affect teaching and learning, helping instructors better comprehend its significance in the landscape of higher education. Learn more.


What is Generative AI?

A brief explanation of generative AI, highlighting its capabilities, strengths, and limitations. Although our primary focus is on natural language processing models, such as GPT-4 and Bing, we also touch on various AI tools to help instructors make informed decisions when integrating AI (and its tools) into theory courses. Learn more.


AI2 - AI and Academic Integrity

We will discuss concerns related to academic integrity and offer guidance, suggestions, and resources to help instructors navigate conversations with students about responsible and ethical AI use. Learn more.


Statements of Expectations (Syllabus)

To help instructors and students establish transparent sets of expectations for AI-use, we provide sample statements on AI usage that can be incorporated into classroom conversations, course syllabi, and eClass. Learn more.


Suggestions for Instructors

We will explore and outline how instructors can integrate AI tools across four of the five dimensions in our Framework for Effective Teaching, including 1) Outcomes and Expertise, 2) Course Design, 3) Instructional Practice, and 4) Learning Environment. Learn more.


Share Your Ideas About AI Use

We seek instructors' input on using Generative AI-tools, such as GPT-4 and Midjourney. Learn more.

Be Aware: Due to rapid iterations and advances in Generative AI technologies and tools, teaching and learning advances using AI are in a near-constant state of flux. Consequently, the advice and suggestions provided here reflect best practices in the current moment.

Some content may need to be updated or changed with little notice. We appreciate your understanding as we thoughtfully and efficiently respond to change and updates.

This site was last updated on July 19, 2023.