AI integration in teaching and learning

McKelvey will deliberately integrate AI into our pedagogy and curricula. As part of this initiative, we will equip our faculty and students with AI competencies and abilities to leverage AI in various applications through new training opportunities and course content. We will train and advise our faculty on how to leverage AI as a pedagogical instrument. Concurrently, we will embed AI and AI-related topics into our curricula so that we can prepare our students to be scholars and engineers who effectively and creatively utilize AI in their work.

Our Commitments

We will:

• Integrate AI into our core engineering curriculum at the undergraduate level.
• Introduce new courses and/or course content related to AI at all levels.
• Host faculty training in recognition of the fundamental role that AI will play in the future practice of all engineering disciplines.
• Train and engage faculty to develop best practices for utilizing AI as a pedagogical tool.
• Collaborate with schools across the Danforth Campus to explore new transdisciplinary educational programs (e.g., a master’s program in the Ethics of AI, programs in AI & Design).

Why:

• There is a gap between our curricula and the rapid developments in AI and data analytics. We must close this gap so that graduates are prepared to encounter transformative technologies now and in the future.
• The future of work will increasingly rely on familiarity with AI, particularly across engineering professions and fields.
• To remain competitive in engineering education and research, we must be leaders in leveraging AI in a variety of domains and applications. Therefore, we need to ensure that our faculty are at the cutting edge of teaching and research by training them to creatively utilize AI in their work and pedagogy.
• There is a gap in the marketplace for AI Ethics curricula and baseline education for engineers, and we have an opportunity to lead in this space.