Assessment Design using Generative AI
Generative AI is reshaping assessment design, requiring faculty to adapt assignments to maintain academic integrity. The GENAI Assessment Scale guides AI use in coursework, from study aids to full collaboration, helping educators create assessments that balance AI integration with skill development, fostering critical thinking and fairness in learning.
Glossary of Generative AI Terms
Like with most new, popular, large-scale technologies Generative AI comes with a growing number of terms and acronyms. We’ve produced a glossary with common words or phrases associated with Generative AI, and provide succinct definitions.
If a student asks whether they can use generative AI tools in their classes
This Academic Integrity hub resource helps students think through whether they can use generative AI in their course work.
Academic Integrity at UBC
This site provides a view into all things academic integrity at UBC, including process around working with students who need academic integrity coaching.
ChatGPT: a brief introduction
When asked, ChatGPT will explain that it is an AI-based conversational agent developed by OpenAI. It is part of the Generative Pretrained Transformer (GPT) series of language models. If asked to explain what it is to a child, it says: ChatGPT is like having a very smart and friendly robot friend that you can talk […]
ChatGPT through an Academic Integrity lens
Academic Integrity at UBC provides an FAQ on ChatGPT in terms of student work and assessment design.
Prompt Engineering
Prompt engineering refers to the act of creating prompts for your desired outcome. Prompt engineering is one of the basic building blocks to transforming teaching and learning using Generative AI. Resources to learn more about Prompt Engineering A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Assigning AI: Seven Approaches for Students with Prompts […]
What is Generative AI?
This CTLT resource takes you through what Generative AI is and the strengths and limitations of those tools.
MOOC: Prompt Engineering for ChatGPT
This course introduces students to the patterns and approaches for writing effective prompts for large language models. Anyone can take the course and the only required knowledge is basic computer usage skills, such as using a browser and accessing ChatGPT. Students will start with basic prompts and build towards writing sophisticated prompts to solve problems […]
UBC Faculty of Education Learning Design Views AI Corner
Examples and ethics-focused literacy resources for teaching and learning with Generative AI
University of Michigan MIDAS AI Website
The Michigan Institute for Data Science (MIDAS) website provides tools, resources, and research.
Assigning AI: Seven approaches for students with prompts
Examines the transformative role of Large Language Models (LLMs) in education and their potential as learning tools, despite their inherent risks and limitations
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Describes a catalog of prompt engineering tech- niques presented in pattern form that have been applied to solve common problems when conversing with LLMs
Communicating with students about generative AI
CTLT-provided examples of how to communicate with your students when talking about the use of Generative AI.
Privacy and other ethical considerations
As with any technology platform, it’s important to consider the data collected by the company, for what purposes, and who will have access. CTLT covers what you need to know when considering the use of Gen AI tools.