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How weekend college can serve your part-time students
We spoke to college leaders who have launched and sustained successful weekend colleges and gathered four imperatives to expand beyond Monday-Friday.
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It matters who is teaching your 101 classes—and how
High failure rates in critical gateway courses are one of the biggest (and often under-prioritized) obstacles to student progress in higher education.
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I was a Pell Grant recipient. It wasn’t enough
An EAB employee shares her own experience as a low-income student and two ways colleges and universities can help support other students juggling more than just classes and homework.
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Your students’ career journey should start in their advisor’s office
One-third of college seniors never visit a career center. But with the increased focus on providing a return on education, progressive schools are integrating career and academic advising to help students chart an intentional course to a career.
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Optimize your BIT/CARE team size and composition
Read the latest BIT/CARE guidelines supported by EAB data.
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How to get first-generation student support right
We sat down with leaders from Florida State University to discuss how FSU provides comprehensive, holistic support for first-generation students. Learn how they built unique programs that give first-gen students not only academic support, but a sense of pride and belonging on campus.
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Advisors want to spend 50% less time on these activities
What activities take up most of an advisor’s time when meeting with students? Are college academic advisors spending time on activities they think are the most impactful? We sat down with 30 academic advisors to find answers to these questions—and more.
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Guided Pathways is a seismic shift—here’s how to make sense of it
Guided Pathways is a seismic shift for community colleges—learn how to scale implementation using pre-existing data.
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The promises and perils of student success predictive modeling
We sat down with the Student Success Collaborative's principal data scientist, Lars Waldo to learn about the challenges and opportunities involved in predicting student success through predictive modeling.
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