Learning Resources

Abstract: Social mobility is an emerging area of focus for higher education institutions. In recent years, we have seen a proliferation of measures related to social mobility produced by publishers, scholars, think tanks, and foundations. However, it is still unclear which social mobility measures to advance, or when to intervene to improve social mobility outcomes. We rely on a century of literature from economics, sociology, and policy analysis to identify an appropriate framework to understand higher education’s contribution to social mobility. Using the metric-based planning framework, we identify areas for institutional intervention to enhance social mobility outcomes.

Abstract: Big data and analytics are promoted as an approach that can improve educational quality, student success, strategic and operational decision-making, and knowledge discovery. Over the last three decades, the University of Texas at El Paso has refined its planning system and integrated metrics within a comprehensive planning framework—to produce dramatic outcomes. The article describes the institution’s metrics-based planning approach and the context that produced it.

Abstract: Literature points out that big data and analytics (BDA) still fails to positively influence institutional planning—even though it's promoted as a novel approach to improving efficiency and effectiveness. What limits the usefulness of BDA? Researchers point to a lack of conceptual models that translate information into meaningful signals. Nonsense! We're using a metrics-based planning framework that's producing remarkable outcomes. We'll share our framework and how you can apply this concept at your institution.