Colleges and universities are under intense pressure to meet enrollment goals, improve retention rates, and shorten time to completion. Predictive analytics can play a crucial role in these efforts by providing insights that guide strategic decision making, improve enrollment management and promote student success.
Higher education professionals responsible for administering financial aid continue to confront key challenges, from shifting regulations to fast-moving technology. The new Cash Management rules published by the U.S. Department of Education, for example, will significantly impact the administration and disbursement of financial aid.
When the Office of Undergraduate Admissions at Clark University in Massachusetts experienced an 87 percent increase in application volume between 2012 and 2015, administrators recognized that they needed to overhaul their yield forecasting and admitted student engagement efforts.
Nontraditional students can represent significant potential for an institution to reach enrollment goals, but this population also presents unique challenges.
A small proportion of higher education institutions in the U.S. command a majority of international student enrollment. While 108 doctorate-granting universities enroll just 11 percent of all students in the country, they enroll some 44 percent of all international students. What explains this trajectory of so many international students towards a small number of institutions?
Research shows that each generation sees more value in a college education than the one before. Even with the rising cost of higher education, this next generation of college students—Generation Z—is no exception. However, Gen Z does have different preferences and expectations for learning than previous generations.