Welcome, Spring!
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Questions about the Center for Computational Thinking?
Contact us at computationalthinking@duke.edu.
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Technology Engagement Center (TEC) Conference Room, West Campus
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Help Us Design the Not-So-Distant Future
of AI at Duke |
Friday, March 1, 2-3:30 p.m.
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In this workshop hosted by Aria Chernik, Associate Professor of the Practice, Social Science Research Institute, and Michael Faber, Sr. Manager, Innovation Co-Lab, the Duke community is invited to consider the transformative potential of AI in shaping the landscape of education and student life.
Attendees will participate in engaging discussions, hands-on activities, and collaborative brainstorming sessions, and have the unique opportunity to envision a middle-future scenario, imagining how AI technologies could seamlessly integrate and improve the Duke experience in just 3-5 years. Whether you're a student, faculty member, or AI enthusiast, this workshop promises to inspire and empower you to play a pivotal role in shaping the next evolution of Duke University. Seating is limited. Registration required.
See below for more events from the Innovation Co-Lab.
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Call for Experiments within Computing |
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The central goal of the first pillar of the Duke Center for Computational Thinking (CCT) is to catalyze innovation within computing majors and minors. CCT’s vision is that students pursuing computing-related fields -- computer science (CS), electrical and computer engineering (ECE), mathematics, and statistical sciences -- will be well trained in rigorous computational thinking and quantitative reasoning, with the opportunity to pursue flexible, personalized pathways through an interdisciplinary curriculum that includes experiential and team learning.
We invite faculty in CS, ECE, math, or statistics who wish to conduct pedagogical experiments or propose improvements to major courses or curricula that might contribute to the above vision to submit a proposal for funding.
If granted, funds may be used as follows:
- To improve an existing computing course -- particularly an introductory course or one that contributes to the core of a computing major; however, any undergraduate course will be considered
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To improve the academic experience of computing majors -- for example, by developing a new course, major concentration, or interdepartmental majors between a computing major and another major
- To inject computing in novel ways into the major curriculum -- experiments that involve mastery learning or employ novel instructional models are encouraged.
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Duke Study on Generative AI |
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Leadership at Duke Learning Innovation and Lifetime Education (LILE) and Duke University Libraries are conducting a study on how generative AI technologies are affecting teaching, learning, and research practices at Duke. The study is part of a suite of parallel studies at approximately 20 other institutions of higher education in the US, Canada, and the UK, coordinated by Ithaka S+R, a not-for-profit research and consulting service.
Would you be willing to participate in a one-hour interview to share your unique experience and perspective on generative AI? Interviewees will receive a $25 gift certificate to Regulator Bookshop. All information collected in the interviews will be anonymized and shared with each interviewee, as will be Ithaka S+R’s final report on generative AI technologies.
If you are interested, please complete this short form. The Duke team will contact you with further details on survey participation. Interviews will be conducted in April. Questions? Contact generative-ai-study@duke.edu.
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Register now for the Duke Datathon! The Datathon is a collaborative two-day event that connects critical care clinicians with data scientists to develop pragmatic data-driven models using de-identified critical care electronic health record datasets. No experience required.
The event will be held at 311 Trent Dr. in the Duke Health Center for Interprofessional Education Building. Read more about the event. Questions? Contact Ian Wong, M.D., Ph.D.
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