Data analytics and AI are essential for higher education in the 21st century. Penn must be able to securely and effectively share, use, and store data across different domains and platforms. Data and AI usage at Penn must conform to ethical standards and regulations. Data analytics and AI can improve decision making; moreover, they can help foster collaboration and innovation among researchers, educators, students and staff. Managed properly, data and AI can enhance teaching and learning and improve outcomes through personalized learning, tailored feedback, better performance assessment, and support. Finally, data and AI can be used to promote equity and access for our community and to address potential biases, barriers, or gaps in education.
Overview
Strategies
1. Increase collaboration, integration, and support for Penn administrative data activities.
Strategy 1 supports In Principle and Practice by advancing one of its practices:
- Lead on great challenges of our time
Strategic initiatives implementing Strategy 1:
TBD (list of links to pages/microsites where available)
Strategic initiatives coming soon.
2. Increase collaboration, experimentation, and innovation on Penn AI activities.
Strategy 2 supports In Principle and Practice by advancing one of its practices:
- Lead on great challenges of our time
Strategic initiatives implementing Strategy 2:
TBD (list of links to pages/microsites where available)
Strategic initiatives coming soon.
3. Strengthen equity, access, inclusion, and ethical standards with regard to Data & AI at Penn.
Strategy 3 supports In Principle and Practice by advancing one of its practices:
- Lead on great challenges of our time
Strategic initiatives implementing Strategy 3:
TBD (list of links to pages/microsites where available)
Strategic initiatives coming soon.
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