An estimated 1,400 colleges and universities nationwide have invested in predictive analytics technology to identify which students are at risk of failing courses or dropping out, with spending estimated in the hundreds of millions of dollars. How accurate and stable are those predictions? The authors put six predictive models to the test to gain…

Identities extend standard models that explain student motivations to complete courses at technical college. A differential hypothesis was that profiles of identities (individuality, belonging and place) explain the self-concepts and task values that contribute to participation, considering demographic factors (age, gender, location, paid work).…

Since the beginning of the American experience, labels have been used to describe generations. Among them are the "Puritan generation," the "greatest generation," the "baby boomer generation" and the "MTV generation." Today, people are creating a new generation--the "lost generation." The lost generation represents a large and growing population…