Should Colleges Invest in Machine Learning? Comparing the Predictive Powers of Early Momentum Metrics and Machine Learning for Community College Credential Completion
This study compares the out-of-sample predictive power of early momentum metrics—13 near-term success measures suggested by the literature—with that of metrics from machine-learning-based models that employ approximately 500 predictors for community college credential completion.
The Role of Librarians in Guided Pathways Reforms
In this short essay, Shanna Jaggars (coauthor of Redesigning America’s Community Colleges) and Amanda Folk (head of teaching and learning at the Ohio State Libraries) discuss how librarians’ expertise could be harnessed to support guided pathways reforms.
Redesigning Your College Through Guided Pathways: Lessons on Managing Whole-College Reform From the AACC Pathways Project
This report and the five case studies that accompany it describe how institutions are managing the broad-based transformation of programs, student services, and related support systems using the guided pathways model.
Early Momentum Metrics: Leading Indicators for Community College Improvement
In this brief, the authors examine how well nine measures of students’ progress in their first year predict student completion in subsequent years, and thus how suitable these early momentum metrics are as leading indicators of the effectiveness of institutional reforms.
Building Guided Pathways to Community College Student Success: Promising Practices and Early Evidence From Tennessee
This report describes the guided pathways reforms taking place at the 13 community colleges in the Tennessee Board of Regents, along with promising trends in first-year momentum among entering students.