AI for Nonprofits

Chapter 33Higher Education

Contributed by Darian Rodriguez Heyman and Cheryl Contee.

Just as with most industries, in the dynamic world of higher education, staying ahead of technological trends is crucial. While this book focuses on nonprofits, the principles and tools it outlines are highly relevant to colleges, universities, and other higher education institutions. As in the nonprofit sector, AI presents paradigm-shifting opportunities in higher education, offering unique opportunities for institutions to enhance their operations and engagement strategies.

The same tools that empower nonprofits to optimize operations and expand their impact can help colleges and universities address their many evolving challenges. However, higher education institutions differ from traditional nonprofits in key ways, particularly in their scale, structure, and stakeholder dynamics. Universities and colleges often manage multifaceted operations that include academic programming, research initiatives, student services, and extensive physical infrastructure, all while serving a highly diverse and global population. Additionally, higher education institutions must navigate unique pressures such as fluctuating enrollment, accreditation requirements, and increasing competition for funding and prestige. This chapter explores how AI can be tailored to address these distinctive challenges, offering actionable strategies for higher education leaders to leverage technology in ways that advance their ...