First term probation: models for identifying high risk students

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.

[1]  Norman D. Aitken College Student Performance, Satisfaction and Retention: Specification and Estimation of a Structural Model. , 1982 .

[2]  Richard M. Felder,et al.  A Longitudinal Study of Engineering Student Performance and Retention. V. Comparisons with Traditionally‐Taught Students , 1998 .

[3]  P. Wankat,et al.  The Effects of an Orientation Course on the Attitudes of Freshmen Engineering Students , 1998 .

[4]  Cynthia J. Atman,et al.  Characteristics of Freshman Engineering Students: Models for Determining Student Attrition in Engineering , 1997 .

[5]  Dan Budny,et al.  Assessment of the Impact of Freshman Engineering Courses * , 1998 .

[6]  D. Hosmer,et al.  Applied Logistic Regression , 1991 .

[7]  Suzanne G. Brainard,et al.  A Six‐Year Longitudinal Study of Undergraduate Women in Engineering and Science * , 1998 .

[8]  M. Ohland,et al.  The Impact of a Discipline‐Based Introduction to Engineering Course on Improving Retention , 1998 .

[9]  E. Seymour,et al.  Talking About Leaving: Why Undergraduates Leave The Sciences , 1997 .

[10]  Vincent Tinto,et al.  Leaving College: Rethinking the Causes and Cures of Student Attrition. , 1988 .

[11]  Cheryl Lynn Moller-Wong,et al.  An Engineering Student Retention Study , 1997 .

[12]  R. Felder,et al.  A Longitudinal Study of Engineering Student Performance and Retention , 1992, Proceedings. Twenty-Second Annual conference Frontiers in Education.

[13]  D. Hosmer,et al.  Applied Logistic Regression , 1991 .

[14]  E. Jensen Student Financial Aid and Persistence in College. , 1981 .