College of Engineering, Design & Computing Events

NSF

The primary objective of this DCL is to seek information that can help with an assessment of the capacity of institutions of higher education to produce graduates with degrees, certifications, and relevant skills related to AI. In addition, this DCL aims to collect information about existing resources for AI education, such as model curricula, concept inventories, or AI education and workforce development initiatives. Among other things, responses must provide the following information:

1. Current AI programs, if applicable, (i.e., descriptions or URLs of major, minor, concentration, certificate, etc.) at the IHE (up to 5000 characters, and/or upload files or URLs)
2. Current AI-related courses, if applicable, (i.e., descriptions or URLs of AI-related courses), including courses with AI theme or AI content, the IHE is offering (up to 5000 characters, and/or upload files)
3. Expertise of faculty teaching AI-related courses (i.e., faculty with AI research portfolios, or faculty from general list) (up to 2000 characters)
4. AI topical focus areas that the IHE faculty are prepared to contribute expertise for the purpose of development of AI curriculum development, if applicable (up to 1000 characters)
5. AI topical research and development areas that the IHE faculty are working on, if applicable (up to 1000 characters)
6. What factors are critical for increasing AI education and workforce development capacity at your institution? What are the current barriers? (up to 2000 characters)
7. What factors are critical for increasing the number of graduates with AI skills, knowledge, and competencies? What are the current barriers? (up to 2000 characters)