Overview: In the last couple of years, AI algorithms for generating text, images, video and even other types of data, such as molecules, have taken hold in the public mindset. In this talk, I will discuss the main ideas behind generative AI, to give an intuition of how these models are trained and what their strengths and weaknesses are. I will discuss both the hype and hope of this type of technology, and give some example use cases and approaches for embedding generative AI models in an educational context.
Panel Overview: Instructors design and implement the teaching that students experience. This panel will focus on how Generative AI is forcing us to rethink what and how we teach and conduct assessments. Instructors and students from different disciplines will share reflections on their experiences and discuss future directions for teaching in the age of Generative AI.
Questions explored:
- Faculty of Agricultural and Environmental Sciences
- Faculty of Arts
- School of Continuing Studies
- Faculty of Engineering
- Dental medicine and oral health sciences
- Data Science
- Faculty of Education
- Higher Education
- Faculty of Law
- Faculty of Medicine Student and Resident Affairs
- Desautels Faculty of Management
- Faculty of Science
- Teaching and learning
DATE: May 13th & 14th 2024
LOCATION : Arts Building, room W120 and 150, McGill University, 853 Sherbrooke West
- Faculty of Agricultural and Environmental Sciences
- Faculty of Arts
- School of Computer Science
- School of Continuing Studies
- Faculty of Engineering
- Dental medicine and oral health sciences
- Data Science
- Faculty of Education
- Faculty of Law
- Faculty of Medicine Student and Resident Affairs
- Desautels Faculty of Management
- Faculty of Science
- Teaching and learning
Panel Overview: Students learn in formal and informal settings and ways. Generative AI will challenge our assumptions about the way learning happens and what it means to have learned something. This panel will explore the experiences of instructors and students from different disciplines and look to future directions for learning in the age of generative AI.
Questions explored:
- Faculty of Agricultural and Environmental Sciences
- Faculty of Arts
- School of Computer Science
- School of Continuing Studies
- Faculty of Engineering
- Data Science
- Faculty of Education
- Faculty of Law
- Faculty of Medicine Student and Resident Affairs
- Desautels Faculty of Management
- Faculty of Science
- Teaching and learning
The Generative AI Landscape: Understanding the different types of generative AI models (e.g., text, image, audio) and their capabilities.
Overview: While beliefs regarding the impact of AI on education – both realized and potential – are readily available, what we actually know and understand about such impacts is still quite limited. This panel will illustrate some of the routes that researchers are taking towards building a better collective understanding necessary for the responsible use of AI in education.
- Faculty of Agricultural and Environmental Sciences
- Faculty of Arts
- School of Computer Science
- School of Continuing Studies
- Faculty of Engineering
- Dental medicine and oral health sciences
- Faculty of Education
- Higher Education
- Faculty of Law
- Faculty of Medicine Student and Resident Affairs
- Desautels Faculty of Management
- Schulich School of Music
- Faculty of Science
- Teaching and learning
LALONDE@50: Comment pouvons-nous faire avancer la promotion de la santé équitable ?
14 et 15 mai dans un format hybride, via Zoom et en personne au Centre Mont-Royal à Montréal, Québec
Cet événement est gratuit et comprendra une traduction simultanée français-anglais
À PROPOS DE L’ÉVÉNEMENT:
Coding Ateliers
As part of CDSI, the Data Science Solutions Hub (DaS2H) offers Coding Ateliers to the entire McGill community, where you can drop-in during atelier hours with your laptop, work on your research project and, whenever you have a question, we would be happy to assist you on the spot. If your question turns out to be a bigger issue that we cannot solve instantly, we will advise you how to best proceed.
Coding Ateliers
As part of CDSI, the Data Science Solutions Hub (DaS2H) offers Coding Ateliers to the entire McGill community, where you can drop-in during atelier hours with your laptop, work on your research project and, whenever you have a question, we would be happy to assist you on the spot. If your question turns out to be a bigger issue that we cannot solve instantly, we will advise you how to best proceed.
Coding Ateliers
As part of CDSI, the Data Science Solutions Hub (DaS2H) offers Coding Ateliers to the entire McGill community, where you can drop-in during atelier hours with your laptop, work on your research project and, whenever you have a question, we would be happy to assist you on the spot. If your question turns out to be a bigger issue that we cannot solve instantly, we will advise you how to best proceed.