Practical AI Educating a data-literate generation
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Aug 8, 2025 
Mark Daniel Ward and Katie Sanders from Purdue University's Data Mine discuss how higher ed is evolving for an AI-driven job market. They explore the importance of data literacy across various fields, showcasing hands-on learning and corporate partnerships. The duo highlights the benefits of living-learning communities for student collaboration and mentorship. They also delve into industry collaborations, like with Eli Lilly, reshaping educational experiences and enhancing student opportunities in data science.
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Connect College Learning To Real Work
- Students want to see how their college skills translate into real-world work.
- Higher education must align learning with long-term career foundations.
Start Experiential Learning Earlier
- Do provide experiential learning earlier than junior or senior year.
- Offer internships and applied projects in sophomore or freshman years.
Data Is Pervasive Across Disciplines
- Data impacts aerospace, manufacturing, and nontechnical roles alike.
- Students from any major gain value from applied data exposure.