In higher education, predictive analytics can provide actionable insights to diverse stakeholders such as administrators, instructors, and students. Separate feature sets are typically used for different prediction tasks, e.g., student activity logs for predicting in-course performance and registrar data for predicting long-term college success.…

In this paper we argue that simply identifying gateway courses in which a large number of students fail or withdraw and focusing attention on them may not always be the best use of limited resources. No matter what we do, there will always be courses with high D/F/W rates simply because of the nature of their content and the preparation of the…

This essay is written in response to Jerry Herron's essay, "Notes toward an Excellent Marxist-Elitist Honors Admissions Policy," which inquired how honors administrators predicted student success and how they used that predictive power wisely and objectively to admit students and maintain quality. The author of this essay, Scott Carnicom…

As the U.S. population ages and policy changes emerge, such as the Patient Protection and Affordable Care Act of 2010, the U.S. will experience a significant shortage of Registered Nurses (RNs). Many colleges and universities are attempting to increase the size of nursing cohorts to respond to this imminent shortage. Notwithstanding a 2.6%…

This study describes the use of a collaborative learning approach in a psychological statistics course and examines the factors that predict which students benefit most from such an approach in terms of learning outcomes. In a course format with a substantial group work component, 166 students were surveyed on their preference for individual…

Every year a group of graduates from high schools enter the engineering programs across this country with remarkable academic record. However, as reported in numerous studies, the number of students switching out of engineering majors continues to be an important issue. Previous studies have suggested various factors as predictors for student…

This study's objective is to determine if students who were unable to successfully complete a required sophomore level business software applications course encountered unique academic difficulties in that course, or if their difficulty signaled more general academic achievement problems in business. The study points to the importance of including…

According to generational theorists, the interests and experiences of incoming students have fluctuated over time, with Millennial students being more engaged and accomplished than their predecessors. This project explored data from 1974-2007 to determine the actual trends in engagement and accomplishments for three generations of students. Over…

The authors investigated trends over a 13-year period in the predictive validity of assessment center data for objective career advancement for a sample of 456 academic graduates. Using year of entry and tenure as controls, findings from research into managerial effectiveness and development were confirmed with respect to the importance of…

In order to determine the longitudinal persistence of two major personality dimensions, namely Apathy-Withdrawal versus Interest-Participation (Factor 1) and Anger-Defiance versus Conformity-Compliance (Factor 2), and to test the hypothesis that the social-emotional functioning of the preschool child is predictive of later intellectual-academic…

Summarizes the results of the substantial number of statistical studies relating to predicting success in graduate education, suggests some practical implications for selecting graduate students, and indicates where further research is needed. (JR)

Virtual schooling has the potential to offer K-12 students increased access to educational opportunities not available locally, but comparatively high dropout rates continue to be a problem, especially for the underserved students most in need of these opportunities. Creating and using prediction models to identify at-risk virtual learners, long a…