We are conducting a longitudinal, multi-institutional, and multivariate study of the trajectories of students in specific engineering disciplines in the U.S.A. to an extent never before possible. Focusing on the eleven partner institutions of the Multiple-Institution Database for Investigating Engineering Longitudinal Development (MIDFIELD), we examine trajectories of engineering students in five engineering disciplines by race/ethnicity and gender. This work-in-progress focuses on the largest fields: chemical (ChE), civil (CVE), electrical (EE), industrial (IE), and mechanical (ME) engineering. Our results show that all disciplines lose about half of their starters. However, when transfer students and others who switch into the majors are ...
Interest in increasing the number of engineering graduates in the United States and promoting gender...
Electrical Engineering (EE) and Computer Engineering (CpE) programs have similar curricula, but diff...
Abstract Using a dataset from universities in the U.S. that includes over 90,000 first-time-in-colle...
We are conducting a longitudinal, multi-institutional, and multivariate study of the trajectories of...
Engineering as a whole continues to suffer from a low participation of women of all races andBlack, ...
Using a large multi-institutional dataset, we describe demographics and outcomes for students starti...
The purpose of this study is to examine differences in student performance among engineering discipl...
We explore which engineering disciplines are most effective at attracting undergraduates from variou...
Using longitudinal data from eleven institutions in the U.S., this study explores the persistence of...
The number of students leaving their initial engineering discipline for other engineering discipline...
Records from the Multiple-Institution Database for Investigating Engineering Longitudinal Developmen...
Backround: Concern for workforce needs, social justice, and the diversification of the engineering p...
Abstract—Electrical engineering (EE) is one of the largest engineering disciplines.Computer engineer...
Using a dataset from universities in the U.S. that includes over 90,000 first-time-in-college studen...
Research explanations for the disparity across both race and gender in engineering education has typ...
Interest in increasing the number of engineering graduates in the United States and promoting gender...
Electrical Engineering (EE) and Computer Engineering (CpE) programs have similar curricula, but diff...
Abstract Using a dataset from universities in the U.S. that includes over 90,000 first-time-in-colle...
We are conducting a longitudinal, multi-institutional, and multivariate study of the trajectories of...
Engineering as a whole continues to suffer from a low participation of women of all races andBlack, ...
Using a large multi-institutional dataset, we describe demographics and outcomes for students starti...
The purpose of this study is to examine differences in student performance among engineering discipl...
We explore which engineering disciplines are most effective at attracting undergraduates from variou...
Using longitudinal data from eleven institutions in the U.S., this study explores the persistence of...
The number of students leaving their initial engineering discipline for other engineering discipline...
Records from the Multiple-Institution Database for Investigating Engineering Longitudinal Developmen...
Backround: Concern for workforce needs, social justice, and the diversification of the engineering p...
Abstract—Electrical engineering (EE) is one of the largest engineering disciplines.Computer engineer...
Using a dataset from universities in the U.S. that includes over 90,000 first-time-in-college studen...
Research explanations for the disparity across both race and gender in engineering education has typ...
Interest in increasing the number of engineering graduates in the United States and promoting gender...
Electrical Engineering (EE) and Computer Engineering (CpE) programs have similar curricula, but diff...
Abstract Using a dataset from universities in the U.S. that includes over 90,000 first-time-in-colle...