Learning Resources

This collection of resources is designed to help student better understand when and how to engage with generative AI tools. Each resource includes instructor-facing materials to guide teaching and student-facing content to foster understanding and responsible use of AI.

Each resource is adaptable, allowing educators to tailor them to their specific classroom contexts while maintaining a focus on critical thinking, ethical considerations, and practical application. Whether you’re introducing AI concepts or deepening existing knowledge, these tools aim to promote thoughtful and informed engagement among your students.

Developing a Term Paper Topic and Research Question with an AI Assistant (by Micheal Jerowsky)

This resource is an educational activity designed to guide students in utilizing AI tools to select term paper topics and develop research questions. It fosters critical engagement with AI, enhances research skills, and promotes digital literacy through structured interaction and evaluation of AI-generated suggestions.

Indigenous Knowledge and AI: Data Sovereignty Parts I and II (by Laila Ferreira)

This resource introduces students to Indigenous knowledge and its representation by AI, focusing on the values, practices, and protocols inherent in Indigenous ways of knowing. Through readings, discussions, and AI-based activities, students critically evaluate how Large Language Models define and convey Indigenous knowledge, highlighting gaps, ethical concerns, and the need for cultural context. The activity promotes ethical AI use, critical thinking, and engagement with Indigenous perspectives in a digital age. Please note that this activity has two parts, and in its current form, requires 2-3 hours of class time.

Finding and Evaluating Scholarly Sources with AI Tools (by Rebecca Carruthers Den Hoed)

This resource is an activity designed to teach students how to find and evaluate scholarly sources using AI tools, UBC Library's Summon tool, and Google Scholar. Students compare the effectiveness of these tools in locating peer-reviewed sources, reflect on their strengths and limitations, and learn strategies for integrating these tools into their research practices. The activity aims to enhance students' digital literacy and critical thinking skills while emphasizing informed tool selection.

Talking with Students About Generative AI and Academic Integrity (by Moberley Luger; based on an activity by Laurie McNeill)

This resource provides activities for discussing generative AI and academic integrity with students, focusing on fostering a shared understanding of integrity rather than punitive measures. It encourages group discussions, critical reflections, and collaborative development of definitions and perspectives on AI's role in academic work. The activity emphasizes aspirational engagement with academic integrity and addresses the complexities of using generative AI tools responsibly.