CTLT/CTL does not endorse the use of any of the specific tools described here.
This page and website is an educative resource driven by questions we have received from faculty.

Resources from CTLT, UBC, and the wider teaching and learning community.

Introductory Articles
OpenClose

  • What is Generative AI?

    This CTLT resource takes you through what Generative AI is and the strengths and limitations of those tools.

  • 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…

  • 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.

Ethics & Academic Integrity
OpenClose

  • 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 through an Academic Integrity lens

    Academic Integrity at UBC provides an FAQ on ChatGPT in terms of student work and assessment design.

  • 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.

Assessment Design
OpenClose

  • 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.

  • 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

Prompting
OpenClose

  • 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…

  • 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…

  • 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

Talking to Students
OpenClose
General
OpenClose
Research
OpenClose

2026

  • Student Use of AI: Motivations and Recommendations

    In part one of this series, How UBC Students are Using Generative AI: A 2026 Update, we looked at UBC student responses to three closed-ended survey questions asking about their use of Generative AI. In part two, Student Perceptions of Generative AI, we explored student perceptions of their own capabilities, the proficiency of their instructors, and the role of the university…

  • Student Perceptions of Generative AI

    As generative AI (genAI) becomes a common tool used by students at UBC, understanding student perceptions of these tools may be helpful for both individual instructors and academic leaders. While the first article in this series, How UBC Students are Using Generative AI: A 2026 Update, focused on usage frequency and specific activities students are completing with genAI, this article explores student perceptions of their own capabilities, the proficiency of their…

  • How UBC Students are Using Generative AI: A 2026 Update 

    As Generative AI (genAI) continues to evolve, so do both student perceptions and the ways in which students engage with genAI. To better understand these changes, UBC followed a 2024–2025 survey with a second survey administered over the 2025–2026 Winter break (December 22, 2025, to January 9, 2026). In consultation with the UBC Student AI Advisory Council, a number of questions from the 2025 survey were…

2025

  • What recommendations do students have for UBC and UBC faculty about Generative AI? 

    The data referenced in this article was collected December 2024-January 2025 and may not fully reflect current student practices or perceptions. In part one of this series, How are UBC students using Generative AI?, we looked at UBC student responses to three closed-ended survey questions asking about their use of Generative AI. In part two,…

  • What do students want you to know about Generative AI? 

    The data referenced in this article was collected December 2024-January 2025 and may not fully reflect current student practices or perceptions. In part one of this series, How are UBC students using Generative AI?, we looked at UBC student responses to three closed-ended questions asking about their use of GenAI. In this post, we’ll explore…

  • How are UBC students using Generative AI? 

    The beginning of this article appeared in the February 2025 edition of Edubytes.  The data referenced in this article was collected December 2024-January 2025 and may not fully reflect current student practices or perceptions. There is a long history of resistance and concern about how tools educators did not use as students will negatively impact…

PowerPoint Slides for “Student Perspectives on Use of GenAI” (PDF)

The slides for a presentation given by Adriana Briseño-Garzón, Senior Manager, Research and Evaluation, CTLT and Trish Varao-Sousa, Evaluation and Research Consultant, CTLT presented at the 2025 GenAI Symposium. There are additional resources from this symposium on the GenAI Symposium Resource Repository.

CTLT/CTL

UBC Community

Other resources

This website is licensed under a Creative Commons Attribution-NonCommercial 4.0 International Public License.