MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines
A weeklong summer workshop brought higher education faculty to campus to explore how AI and machine learning materials can be adapted for their classrooms.
In the summer of 2023, the MIT Schwarzman College of Computing launched the AI Educators Pilot, a week-long workshop aimed at expanding AI education across disciplines. The workshop was inspired by the MIT class C01/C51, which focuses on teaching students foundational AI and machine learning concepts within their own fields. Dan Huttenlocher, dean of the MIT Schwarzman College of Computing, emphasized the goal of empowering students to become critical thinkers about AI.
Asu Ozdaglar, deputy dean of academics for the MIT Schwarzman College and department head of EECS, echoed this sentiment, stating the desire to equip educators with the tools to teach AI thoughtfully.
The pilot required collaboration from various departments and more than half a dozen instructors across different fields. Saurabh Amin, a professor in Civil Engineering and co-director of the AI Educators Pilot, highlighted the significance of this collaborative effort. The pilot brought together 19 participants from various universities, including Allen University, Babson College, and Wentworth Institute of Technology.
Participants engaged in a mix of demonstrations, videos, and hands-on activities, focusing on adapting materials and methods from the Modeling with Machine Learning course to their respective disciplines.
The workshop aimed to bridge the gap between AI concepts and specific disciplines, providing a context that is often lacking. As noted by Amin, the key is to connect AI to real-world problems and encourage students to question, adapt, and build with the technology rather than just using it as a black box. Shen Shen, one of the workshop instructors, stressed the importance of demystifying AI and teaching students how to use it judiciously in their specific domains.
The workshop concluded with participants reflecting on which materials and teaching approaches they would implement in their classrooms. Their feedback will guide future iterations of the pilot and the formation of a broader network of educators dedicated to expanding AI education. Participants expressed enthusiasm for continued collaboration and knowledge-sharing, recognizing the common challenges they face in integrating AI into their respective fields.
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