Mapping Snapshot: Defining Global Learning Outcomes

As internationalization gains traction on U.S. college and university campuses, leaders move to think globally about every aspect of academia—including the curriculum.

NCES Releases Student Financial Aid Estimates for 2015–16

The National Center for Education Statistics recently released a First Look report that illustrates some key findings regarding financial aid based on data from the 2015-16 National Postsecondary Student Aid Study (NAPSAS:16).

Moneyball for Higher Education: How Federal Leaders Can Use Data and Evidence to Improve Student Outcomes

Moneyball for Higher Education, a new report recently released by Results for America, is rooted in the strategic use of data to better help students succeed. Authors James Kvaal and John Bridgeland present three major themes on how data and evidence can be used to help students learn and graduate.

Big Data on Campus

As drivers of social mobility, economic growth, and community development, U.S. colleges and universities have long been regarded as among the best in the world. However, some stakeholders have begun to question whether that will remain true in the future. Can the better use of data help?

Serving Post-traditional Learners

What do we know about post-traditional learners, and how can we better help them earn the higher education credentials they need to succeed? Jonathan Gagliardi and Louis Soares on the results of a new ACE report, The Post-traditional Learners Manifesto Revisited.

Moving Away From Data Invisibility at Tribal Colleges and Universities

The invisibility of Native American perspectives—those of Native students, researchers and their communities—continues to plague higher education, despite numerous calls for action from educational advocates across the country. Christine Nelson of the University of Denver considers what can be done to solve this problem.

CPRS Staff Join Panels on Data and Analytics at AIR Annual Conference

The Association for Institutional Research’s (AIR) Annual Forum kicked off this week in Washington, DC. The annual conference is the world’s largest gathering of higher education professionals who work in institutional research (IR), effectiveness, assessment and related fields.

Ready to Work: Employability and Higher Education

Chris Bustamante, Stephanie A. Bond Huie, and Belinda S. Miles shared their own experiences in creating strong connections among higher education institutions, the local community, boards of regents and students during the ACE2017 session “Employability and Higher Education.” They articulated how colleges and universities identify best practices for promoting student success and workforce outcomes through data-driven job market analyses.

Leaders’ Perspectives: Using Data to Drive Student Success

During the ACE2017 session “Using Data to Drive Student Success,” four panelists shared their own experiences in utilizing data to identify best practices across campuses, engage faculty and staff and improve student success.

Predictive Analytics: If You Build It, Will Students Succeed?

Predictive analytics has made it on the list of “must haves” for many college and university leaders in recent years. But a new report from New America says that without careful use, predictive analytics can reinforce biases in education outcomes, remove human choice, and dilute the quality of teaching, learning and advising.

Closing Students’ Achievement Gaps at the National Level

Achieving the Dream was created in 2004 with support from the Lumina Foundation to improve student outcomes at community colleges by using data to inform decisions. The Chronicle of Higher Education’s Kelly Field recently interviewed Achieving the Dream’s president and CEO, Karen A. Stout, to discuss the progress that has been made since the organization’s inception in improving outcomes for community college students.

Lead with Data. Inspire with Leadership.

Bob Shea, senior fellow at the National Association of College and University Business Officers, sat on the ACE2016 panel “Higher Education Business Models: Leading with Data to Deliver Results.” During the Q&A, the common theme emerged of how to get started on the difficult work of moving to a sustainable economic model. Shea considers that question.