Journal ArticleDOI
Identifying Factors Influencing Engineering Student Graduation: A Longitudinal and Cross‐Institutional Study
TLDR
In this article, the authors used a database of all engineering students at nine institutions from 1987 through 2002 (a total of 87,167 engineering students) and focused on graduation in any of the engineering disciplines.Abstract:
Pre-existing factors are quantitatively evaluated as to their impact on engineering student success. This study uses a database of all engineering students at nine institutions from 1987 through 2002 (a total of 87,167 engineering students) and focuses on graduation in any of the engineering disciplines. We report graduation rate as a function of years since matriculation, and determine the typical time-to-graduation. A multiple logistic regression model is fitted to each institution's data to explore the relationship between graduation and demographic and academic characteristics. A pooled model is fitted to six institutions where a complete data set was available. High school GPA, gender, ethnicity, quantitative SAT scores, verbal SAT scores, and citizenship had significant impact on graduation. While HSGPA, SATQ were significant for all models tested, the significance of other predictors varied among institutions. These studies add to the existing body of research about factors affecting the success of engineering students.read more
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Leaving Engineering: A Multi‐Year Single Institution Study
TL;DR: In this paper, the authors identified a set of factors describing the experiences of students' in a college of engineering that are strong influences on decisions to leave and study how those factors are related to both predictor variables (e.g., high school preparation) and future behaviors.
Journal ArticleDOI
An Examination of Indicators of Engineering Students' Success and Persistence
TL;DR: In this paper, student success and persistence within the major and university were examined through hierarchical linear and logistic regression analyses for two cohorts of engineering students, based on theoretical and empirical evidence and included both cognitive and noncognitive variables.
Journal ArticleDOI
Collaborative Learning in Engineering Students: Gender and Achievement
TL;DR: In this paper, a set of hypotheses were tested that predicted positive relationships between students' self-reported informal collaboration, self-efficacy for learning course material, knowledge building behaviors, and course grade.
Improving Engineering Student Retention through Hands-On, Team Based, First-Year Design Projects
TL;DR: In this paper, a longitudinal study of the impact of team-based design/build courses on student retention at a large public research university was conducted. And retention was measured at the third, fifth and seventh semester for student takers and non-takers of a first-year, teambased design and build course.
Journal Article
Why They Leave: Understanding Student Attrition from Engineering Majors
Brandi N. Geisinger,D. Raj Raman +1 more
TL;DR: This paper reviewed the literature on attrition from engineering programs to identify the breadth of factors that contribute to students' decisions to leave and found that successful efforts to increase retention act on one or more of these factors.
References
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Book
An introduction to categorical data analysis
TL;DR: In this paper, the authors present a tour of categorical data analysis for Contingency Tables and Logit and Loglinear models for contingency tables, as well as generalized linear models for Matched Pairs.
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What matters in college? : four critical years revisited
TL;DR: In this article, the authors present a study of how students change and develop in college and how colleges can enhance that development based on more than 20,000 students, 25,000 faculty members, and 200 institutions.
Book
Talking About Leaving: Why Undergraduates Leave The Sciences
Elaine Seymour,Nancy M Hewitt +1 more
TL;DR: The Learning Experience in S.M.E. Majors: Choice and Preparation as mentioned in this paper The Learning Experience of S. M.E Majors Career and Lifestyle, Time and Money Issues of Gender Issues of Race and Ethnicity Some Conclusions and Their Implications.
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Characteristics of Freshman Engineering Students: Models for Determining Student Attrition in Engineering
TL;DR: In this article, a three-year research effort was conducted to identify attitudes incoming students have about the field of engineering, their perceptions about the upcoming educational experience, and their confidence in their ability to succeed in engineering.
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Gender and Ethnicity Differences in Freshmen Engineering Student Attitudes: A Cross-Institutional Study*
TL;DR: The authors examined the attitudes of entering freshman engineering students and how they change over the course of the first year at 17 institutions and found that female engineering students consistently began their engineering studies with a lower confidence in background knowledge about engineering, their abilities to succeed in engineering and their perceptions of how engineers contribute to society than did their male counterparts.