Director of Analytics Syracuse University Main Campus Jamesville, New York, United States
Session Abstract: This discussion group will explore how AI is transforming higher education and institutional research by enhancing data analysis, predictive modeling, student success initiatives, and operational efficiency. Topics include practical AI applications for identifying at-risk students, optimizing administrative workflows, and supporting strategic decision-making. Ethical concerns, such as data privacy, algorithmic bias, and transparency, will also be addressed. Attendees will gain insights into best practices, key challenges, and opportunities, fostering collaboration with peers. The session aims to provide participants with actionable strategies for effectively implementing AI, enabling institutions to harness its transformative potential for improving educational outcomes and research capabilities. Participants will leave with a better understanding of AI's impact, the ethical use of AI, and ways to leverage AI technologies to drive institutional success in higher education.
Keywords: AI in higher education, institutional research, data analytics, predictive modeling, ethical AI
