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Data
Measuring What Matters: How Machine Learning Can Illuminate Enrollment Impact
If you missed the live webinar, here’s your fast-track recap of the big ideas, key models, and actionable insights.
Beyond Open Rates: How Machine Learning Reveals What Really Drives Enrollment
The EduData Webinar on March 27 will explore how AI-driven predictive modeling and attribution analytics can revolutionize student recruitment.
Effective Higher Ed Analytics: Key Strategies and Tools
Explore effective higher ed analytics strategies across key stages, from recruitment to alumni engagement, and learn how data-driven insights improve outcomes.
Is Your Institution Ready to Lead the Way in Ethical AI Practices?
As AI becomes more integrated into higher education, ensuring its ethical use is a crucial responsibility for professionals in marketing, admissions, and enrollment management. Dr. Obi Ogbanufe from the University of North Texas highlights the importance of understanding AI's ethical implications, fostering AI literacy, asking key ethical questions, and developing a robust AI code of ethics. By taking proactive steps to address potential ethical issues, higher education professionals can ensure that AI is used responsibly, safeguarding the interests of both institutions and their communities.
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