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Takeshi Yanagiura

April 2020

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.
September 2018

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.
September 2017

What Happens to Students Who Take Community College “Dual Enrollment” Courses in High School?

This report uses student enrollment and degree records from the National Student Clearinghouse to examine who enrolls in community college dual enrollment courses and what happens to them after high school.

Recent Publications

April 2020

Should Colleges Invest in Machine Learning? Comparing the Predictive Powers of Early Momentum Metrics and Machine Learning for Community College Credential Completion

September 2018

Building Guided Pathways to Community College Student Success: Promising Practices and Early Evidence From Tennessee

September 2017

What Happens to Students Who Take Community College “Dual Enrollment” Courses in High School?

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