DocumentCode
1740535
Title
First term probation: models for identifying high risk students
Author
Scalise, Alejandro ; Besterfield-Sacre, Mary ; Shuman, Larry ; Wolfe, Harvey
Author_Institution
Sch. of Eng., Pittsburgh Univ., PA, USA
Volume
1
fYear
2000
fDate
2000
Abstract
EC 2000 has heightened awareness among engineering faculty about the importance of student retention, especially the retention of first-year students. Previous research found that students placed on academic probation after their first term have a high probability of leaving engineering prior to graduation. Using five years of data, we examine the influence of the student´s initial preparedness, attitude toward his/her chosen career, and self-assessed confidence in areas such as study habits and communication skills, on first term probation and retention. Logistic regression approaches were used to develop models that have enabled us to determine the factors that most influence first term probation and to better identify students who require early interventions if they are going to successfully complete the engineering curriculum
Keywords
accreditation; educational courses; engineering education; human factors; modelling; teaching; EC 2000; academic probation; communication skills; engineering curriculum; engineering education; engineering faculty; first term probation models; first-year students; high risk student identification; initial preparedness; logistic regression approaches; self-assessed confidence; student attitude; student retention; study habits; Buildings; Costs; Education; Educational institutions; Educational programs; Engineering profession; Engineering students; Logistics; Predictive models; Stability criteria;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Education Conference, 2000. FIE 2000. 30th Annual
Conference_Location
Kansas City, MO
ISSN
0190-5848
Print_ISBN
0-7803-6424-4
Type
conf
DOI
10.1109/FIE.2000.897696
Filename
897696
Link To Document