mark montgomery
Generative AI Vs. Agentic AI: The Key Differences Everyone Needs To Know
Artificial intelligence (AI) has become the buzzword of our time. It’s a term that often conjures images of robots and self-learning machines, but in reality, AI is a broad umbrella with many distinct subfields.
Graduate Program Guide
Developing Guidelines for Graduate Student Use of Generative AI Tools – A Guide for Graduate Programs
Graduate education and Generative AI (Gen AI)
This site provides preliminary guidance on the ethical use of GenAI tools in the context of graduate education at UBC and all aspects of graduate student scholarship, including admission applications, coursework, comprehensive exams, major projects, and theses/dissertations.
OER and GenAI – October 23, 2024
Join us for an interactive online workshop where we will explore the challenges, contradictions, and opportunities at the intersection of Artificial Intelligence (AI) and Open Educational Resources (OER).
Generative AI: Its Implications and Opportunities, for Policy, Pedagogy and Practice within the Mathematical Sciences
Generative Artificial Intelligence (AI) describes algorithms, including ChatGPT, Google’s Gemini, and Microsoft’s Copilot, that can be used to create new content, including text, computer code, images, and audio. Whilst the technologies are themselves not new, recent advances in the field have led to a new era where the way in which we approach content creation […]
GenAI Maker Session: Developing Quizzes and Problem Sets with Generative AI – October 8, 2024
Explore practical strategies for creating engaging quizzes and problem sets using Generative AI. This online session will provide best practices for developing these materials, followed by hands-on time to craft your own in a supportive, collaborative environment.
McMaster develops and shares open resources on using generative AI in education
This summer, McMaster released revised teaching and learning guidelines, which offer clearer direction on areas such as the potential risks of using AI in learning, AI detection tools, and appropriate uses of AI for students and instructors.
AI competency framework for students
This publication aims to help educators integrating artificial intelligence learning objectives into official school curricula to prepare students to be responsible and creative citizens in the era of AI.
Ensure High-Quality Data Powers Your AI
AI does not need to fail on a global scale to cause enormous damage — to individuals, companies, and societies. Models frequently get things wrong, hallucinate, drift, and can collapse.
Teaching and Learning Guidelines
These guidelines, developed with the Generative AI Teaching and Learning Advisory Subcommittee, provide guidance on responsible and ethical use of GenAI in teaching and learning at UBC.
Augmented Course Design: Using AI to Boost Efficiency and Expand Capacity
Using generative artificial intelligence (GenAI) tools such as ChatGPT, Gemini, or CoPilot as intelligent assistants in instructional design can significantly enhance the scalability of course development.
Leveraging Generative AI for Inclusive Excellence in Higher Education
The hype and hesitation about generative artificial intelligence (AI) diffusion have led some colleges and universities to take a wait-and-see approach.