Event Title
Date
1-4-2016 12:00 AM
Major
Computer Engineering
Department
Electrical & Computer Engineering
College
College of Engineering
Project Advisor
Amy Kaleita
Project Advisor's Department
Agricultural and Biosystems Engineering
Description
Historical data from multiple institutions show that students who achieve a first-semester grade point average (GPA) below 2.0 are at substantially greater risk of leaving engineering programs before graduating with a degree than are those who achieved above 2.0. Identifying these “at risk” students prior to the start of their first semester could enable improved strategies to enhance their academic success and likelihood of graduation. This study analyzes why students who may have been “at risk” coming in did not end up getting below a 2.0 GPA in their first semester. The data from the MapWorks survey taken by all first-year students was compared for the different risk level groups. From this data, there are some statistically significant answers that differentiated those students who over-performed their “at risk” status and those who did not. These answers can be used when advising “at risk” students in engineering in the future.
File Format
application/pdf
Included in
Engineering GPA Achievement Analysis
Historical data from multiple institutions show that students who achieve a first-semester grade point average (GPA) below 2.0 are at substantially greater risk of leaving engineering programs before graduating with a degree than are those who achieved above 2.0. Identifying these “at risk” students prior to the start of their first semester could enable improved strategies to enhance their academic success and likelihood of graduation. This study analyzes why students who may have been “at risk” coming in did not end up getting below a 2.0 GPA in their first semester. The data from the MapWorks survey taken by all first-year students was compared for the different risk level groups. From this data, there are some statistically significant answers that differentiated those students who over-performed their “at risk” status and those who did not. These answers can be used when advising “at risk” students in engineering in the future.