Engineering Commons^™

Pathways Towards An Engineering Baccalaureate Degree - Critical Incidents And Factors Leading Students To Choose Community College: A Phenomenological Study, Joan Zitur Carter

All Graduate Theses, Dissertations, and Other Capstone Projects

Women and underrepresented minorities can help fill the ever-growing demand for engineers in the United States. Quality teaching methods, an understanding of the cognitive aspects of learning, and faculty addressing biases help ensure student success in engineering majors. Accordingly, the community college engineering pathway can help fill the national need for engineers. This phenomenological study sought to describe the experience of students who choose the community college pathway toward a Bachelor of Science degree in Engineering. Thirteen participants were interviewed; all took engineering courses at the same community college, transferred to a four-year engineering university (10 to a R1), and …

Development Of A System Architecture For The Prediction Of Student Success Using Machine Learning Techniques, Tatiana A. Cardona

Doctoral Dissertations

“ The goals of higher education have evolved through time based on the impact that technology development and industry have on productivity. Nowadays, jobs demand increased technical skills, and the supply of prepared personnel to assume those jobs is insufficient. The system of higher education needs to evaluate their practices to realize the potential of cultivating an educated and technically skilled workforce. Currently, completion rates at universities are too low to accomplish the aim of closing the workforce gap. Recent reports indicate that 40 percent of freshman at four-year public colleges will not graduate, and rates of completion are even …

A Standards-Based Grading Model To Predict Students' Success In A First-Year Engineering Course, Farshid Marbouti

Open Access Dissertations

Using predictive modeling methods, it is possible to identify at-risk students early in the semester and inform both the instructors and the students. While some universities have started to use standards-based grading, which has educational advantages over common score-based grading, at–risk prediction models have not been adapted to reap the benefits of standards-based grading. In this study, seven prediction models were compared to identify at-risk students in a course that used standards-based grading. When identifying at-risk students, it is important to minimize false negative (i.e., type II) errors while not increasing false positive (i.e., type I) errors significantly. To increase …

Engaging Community College Students Using An Engineering Learning Community, James Maccariella Jr.

Educational Foundations & Leadership Theses & Dissertations

The study investigated whether community college engineering student success was tied to a learning community. Three separate data collection sources were utilized: surveys, interviews, and existing student records. Mann-Whitney tests were used to assess survey data, independent t-tests were used to examine pre-test data, and independent t-tests, analyses of covariance (ANCOVA), chi-square tests, and logistic regression were used to examine post-test data. The study found students that participated in the Engineering TLC program experienced a significant improvement in grade point values for one of the three post-test courses studied. In addition, the analysis revealed the odds of fall-to-spring retention were …

Student Success: Approaches To Modeling Student Matriculation And Retention, Jien-Jou Lin

Open Access Dissertations

Every year a group of graduates from high schools enter the engineering programs across this country with remarkable academic record. However, as reported in numerous studies, the number of students switching out of engineering majors continues to be an important issue. Previous studies have suggested various factors as predictors for student retention in engineering. To assist the engineering students with timely advising early in their program, an effective prediction model of matriculation and retention in engineering that use available student data are highly desirable.

In the first part of this work, the author developed new prediction models of student retention …