Suggested Resources

Suggested Resources

This page serves as a curated hub of high-quality resources—teaching tips, academic articles, policy frameworks, and case studies—to help instructors navigate AI’s impact on teaching and learning. Whether redesigning assignments, developing AI policies, or exploring AI’s role in education, you’ll find materials to support your growth in this evolving landscape..

Teaching and Learning

AI Assessment Scale eBook
This free downloadable ebook contains examples and activities aligned to the AIAS levels. Although portions are geared toward K-12 education, the ebook contains relevant suggestions and guidance for post-secondary instructors.

AI Observatory (Higher Education Strategy Associates - Canada)
The Observatory aims to foster cross-institutional learning by sharing AI policies and guidelines and updating institutions on developments via weekly emails. It also hosted Roundtable Meetings on GenAI in teaching and learning. Access the videos here.

AI Pedagogy Project (metaLab (at) Harvard)
Informed by hands-on experimentation, the AI Pedagogy Project helps educators engage students in conversations about the capabilities and limitations of AI, including:

  1. AI Starter: A concise introduction to GenAI with a helpful glossary
  2. Large Language Model (LLM) Tutorial: A hands-one walkthrough of text-based LLMs using OpenAI’s ChatGPT as an example
  3. Quickstart Resources: Curated links to valuable materials for deeper exploration
The project also hosts a collection of curated assignments that your students can use to explore GenAI's impacts and potential for teaching and learning. You are encouraged to customize the exemplar assignments to fit their pedagogical values and course learning needs.

Assessment Partner (McMaster University - McPherson Institute)
The Assessment Partner is a web-based tool (in Beta) that helps instructors design custom assessment tasks aligned with learning outcomes. Using GenAI and being grounded in educational best practices simplifies creating everything from basic assignments to complex tasks. It also offers an open-source repository of instructor-shared assessments.

AI Assistant Teaching Pro (Contact North | Contact Nord)
Contact North, a Canadian not-for-profit, leverages AI (OpenAI’s ChatGPT) to reduce instructor workload and enhance teaching. The tool supports tasks like creating syllabi, slides with notes, multiple-choice questions, and essay prompts with rubrics. Per its data and privacy policy, all data is securely stored in Canada, and user data is not shared with OpenAI for training purposes.

GenAI and Prompt Craft: Assorted Resources

Prompts-for-edu/Educators
Sample prompts for instructors help create engaging lessons, provide timely feedback, and develop creative learning materials. Designed to enrich classrooms and inspire students, these prompts boost efficiency and reduce instructor workload.

Prompt Patterns (GenAI at Vanderbilt University)
Outlines strategies for crafting prompts to elicit specific behaviours and provides a quick reference to key elements of various prompt patterns for use with LLMs like ChatGPT, Claude, or Gemini.

Generative AI Product Tracker (Ithaka S + R)
Lists generative AI products that are either explicitly marketed towards postsecondary faculty or students or appear to be actively in use by postsecondary faculty or students for teaching, learning, or research activities.

GenAI Quickstart: Foundations for Faculty (McGill University)
A nine-part series of online and interactive micromodules (10 minutes) about GenAI and Teaching and Learning to help faculty and instructors get started.

GenAI Sample Assessments (McMaster University)
This is an open-access (open source, CC licensed) assessment repository. GenAI Sample Assessments provides a small list of sample assessments submitted by research study participants that address GenAI use in different disciplines.

Generative Artificial Intelligence Appraisal Tool (Waterloo University, Writing and Communication Centre)
A critical reflection resource to help instructors ‘weigh’ various factors when making decisions about potential GenAI integration in their work.

#OA Book: 101 Creative Ideas to Use AI in Education (#creativeHE)
Although compiled in 2023, this open crowdsourced collection presents a variety of suggestions for potential alternative uses and applications of GenAI, including opportunities for new learning, development, teaching, and assessment opportunities.

One Useful Thing (Ethan Mollick)
Mollick shares a GenAI Resource Prompt Library (with instructor aids and student exercises) that can assist instructors with preparation and generating activity/assessment ideas.

STRIVE: Emerging Considerations When Designing Assessments for Artificial Intelligence Use (Taylor Institute, University of Calgary)
Learn more about how best to (re)design assessments that integrate GenAI use.

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions (Utah State University)
The Open Educational Resource Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions offers instructors, librarians, and instructional designers practical guidance. It explores the opportunities and challenges of teaching in the AI era, addressing strengths, limitations, ethics, and disciplinary impacts.

Teaching with AI (Wharton Interactive, Wharton, University of Pennsylvania)
Through AI and interactive pedagogy research, Wharton Interactive enhances teaching, learning, and scholarship. Its website features simulations, case studies, the GenAI crash course with Ethan Mollick (author of Co-Intelligence: Living and Working with AI, 2024), and various practical teaching resources.

UQ Assessment Ideas Factory (University of Queensland)
The UQ Assessment Ideas Factory is a searchable database of assessment techniques. Instructors can find techniques that promote active learning, student engagement, and academic integrity. The database may also help identify assessment tasks that align with appropriate GenAI use. The methods are described in general terms so you can transfer them into your course.

Using GenAI Subject Guide (University of Alberta Libraries)
Primarily aimed at students, the Library Guide covers essential topics related to AI Literacy and responsible student use of AI technologies for academic work.

Guidelines and Principles for Responsible and Ethical Use

Framework for Responsible and Ethical Use of AI (at the University of Alberta) The draft Framework for Responsible & Ethical Use of AI at the U of A sets down guiding principles and accountability processes to ensure the university meets its legal and moral obligations within this sphere.

GPS Guidelines: Responsible and Ethical Use of Generative AI in Graduate Thesis, Research, and Writing (University of Alberta, Faculty of Graduate & Postdoctoral Studies)
This resource provides general guidance on graduate students' responsible use of GenAI tools, referencing several U of A institutional policies and regulations.

Generative AI tools and assessment: Guidelines of the world’s top-ranking universities
This resource synthesizes guidelines from post-secondary institutions worldwide.

Guide on the Use of Generative AI (Gov’t of Canada)
The Canadian federal government has issued guidelines for responsible GenAI use by institutions and public servants, including a summary for instructors. It has also shared a concise summary of the Guide instructors considering using GenAI tools in their daily work reference. The Guide aligns with the Treasury Board of Canada’s ‘FASTER’ principles (FAIR, ACCOUNTABLE, SECURE, TRANSPARENT, EDUCATED, and SECURE).

Navigating AI in Teaching and Learning: Values, Principles and Leading Practices (U15 Canada)
Canada’s leading research universities have issued guidance on using and integrating GenAI in academic teaching and learning. The paper aims to establish leading guidance on how universities can effectively navigate using GenAI.

Principles for Responsible, Trustworthy and Privacy-protective Generative AI Technologies Identifies considerations for applying key privacy principles to GenAI technologies. This document is intended to help organizations (developing, providing, or using GenAI) apply key Canadian privacy principles.