4.1. Case Study – Overview
13 total
Submissions by Program:
- Education – 7
- SAPL – 2
- Nursing – 1
- Computer Science – 1
- Library Science – 1
- Faculty of Arts (Lang) – 1
Themes Emerging from Initial Review:
- Undergraduate Education
- Graduate Education/Adult Education
- Inclusive and Accessible Education
- AI Feedback for Assessment
- Ethical Considerations
- Creative Support in Education
- Language and Communication Skills
Cases Discussed:
Case Study 01: explores how AI can be integrated into design education to enhance student engagement, ethical awareness, and social impact—particularly around socio-spatial inequities like homelessness.
Case Study 02: outlines how a custom-built AI chatbot was integrated into a graduate education course to simulate qualitative research interviews.
Case Study 03: describes how a librarian-led information session used ChatGPT to teach first-year students critical AI literacy skills—with a focus on evaluating AI-generated content, refining prompts, and addressing ethical and inclusive considerations in academic research.
Case Study 04: shows uses of AI translation tools in nursing simulations to help students practice culturally sensitive care with non-English-speaking patients.
Case Study 05: describes how generative AI tools like a case generator and NotebookLM were used in a graduate Design-Based Research course to help students create scenarios, synthesize research, and apply DBR principles in solving real-world educational problems.
Case Study 06: showcases how students from diverse disciplines used no-code platforms to build functional AI agents—prompting engineering and automation without requiring programming experience.
Case Study 07: explores how AI tools like ChatGPT, NotebookLM, and Gemini are transforming the graduate research journey by streamlining the literature review process, reducing cognitive overload, and enhancing critical thinking while delivering critiques and suggestions for AI use.
Case Study 08: outlines an innovative approach using AI to enhance the academic writing skills of 400-level students—with the goal of enriching their academic experience and comprehension capabilities.
Case Study 09: describes the implementation of Microsoft Copilot in a graduate education course to provide flexible, AI-generated assignment feedback as an alternative to traditional peer review.
Case Study 10: explores the use of AI-generated French-speaking personas in a beginner French course to provide students with low-pressure, interactive conversation practice that enhances language skills while addressing challenges like fear of judgment and inconsistent content quality.
Case Study 11: outlines how pre-service teachers in an AB teacher education use freely available generative AI tools like ChatGPT and Google Gemini as ‘critical friends’ to provide formative feedback on lesson plans, etc.
Case Study 12: details how generative AI tools like ChatGPT and Microsoft Copilot were integrated into adult learning courses to enhance instructional design, support neurodiverse learners, and foster ethical, inclusive, and creative teaching practice.
Case Study 13: explores how generative AI tools can enhance participatory placemaking in a graduate urban design studio by supporting text and visual work. The integration prioritized ethical use, accessibility, and a balance between AI and hands-on collaboration.
