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Jones, Sharon A.; Cairncross, Caitlin; VanDeGrift, Tammy; Kalnin, Julie – Advances in Engineering Education, 2021
We developed various retention programs to support first-year engineering students who start behind their cohort in terms of the Calculus sequence. We focused on increasing the persistence of these students via counseling along with opportunities for students to regain cohort status. Although the retention program evolved, we retained enough of…
Descriptors: Academic Persistence, Engineering Education, Calculus, College Freshmen
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Syahrul Amin; Karen E. Rambo-Hernandez; Blaine A. Pedersen; Camille S. Burnett; Bimal P. Nepal; Noemi V. Mendoza Diaz – Cogent Education, 2024
This study examined the persistence of first-year engineering students at a Hispanic-Serving Institution (HSI) and a Historically Black College and University (HBCU) pre- and mid-COVID-19 interruptions and whether their characteristics (race/ethnicity, financial need status, first-generation status, SAT scores) predicted their persistence. Using…
Descriptors: College Freshmen, Engineering Education, Academic Persistence, COVID-19
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Joseph R. Cimpian; Jo R. King – Grantee Submission, 2024
Men significantly outnumber women in physics, engineering, and computer science (PECS) majors, with a recent male-to-female ratio of approximately 4:1, a stark contrast to the near parity in other science, technology, engineering, and mathematics (STEM) disciplines (1). This gender disparity in PECS carries wide-reaching implications for equity,…
Descriptors: Gender Differences, Physics, Engineering Education, Computer Science Education
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Tan, Lin; Bradburn, Isabel S.; Knight, David B.; Kinoshita, Timothy; Grohs, Jacob – International Journal of STEM Education, 2022
Background: Numerous efforts worldwide have been made to increase diversity in engineering and computer science (ECS), fields that pay well and promote upward mobility. However, in the United StatesĀ (U.S.), females and students from underrepresented racial/ethnic minority groups (URM) still pursue ECS training far less than do their peers. The…
Descriptors: College Entrance Examinations, Engineering Education, Computer Science Education, Undergraduate Students
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Taylor, Christa L.; Esmaili Zaghi, Arash; Kaufman, James C.; Reis, Sally M.; Renzulli, Joseph S. – Journal of Engineering Education, 2020
Background: Creativity is increasingly recognized as an important skill for success in the field of engineering, but most traditional, post-secondary engineering education programs do not reward creative efforts. Failing to recognize creativity or creative efforts can have particularly negative effects for those students with attention deficit…
Descriptors: Attention Deficit Hyperactivity Disorder, Engineering Education, Student Characteristics, Academic Aptitude
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Duffy, Gavin; Power, Jason; Sorby, Sheryl; Bowe, Brian – Engineering Design Graphics Journal, 2018
Spearman concluded that performance on any test of mental ability could be explained by several cognitive factors organized hierarchically as one general factor and several subordinate specific factors (Spearman, 1904, 1927). The general factor accounted for the significant amount of inter-correlation between all ability tests for any one…
Descriptors: Spatial Ability, Intelligence, Problem Solving, Word Problems (Mathematics)
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Veurink, Norma L.; Sorby, Sheryl A. – European Journal of Engineering Education, 2019
Three-dimensional spatial skills are a cognitive ability that have been shown to predict success in engineering. Michigan Tech has been offering a course to help students improve their 3-D spatial skills for more than two decades. In previous studies, students who failed a rotations test and enrolled in the course performed better on a number of…
Descriptors: Longitudinal Studies, Spatial Ability, Engineering Education, Cognitive Ability
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Stewart, John C.; Murphy, Cheryl; DeVore, Seth – AERA Online Paper Repository, 2016
The Big Five Inventory (BFI) measuring the 5-factor personality model was given to 440 science and engineering students in introductory physics classes at a large US university. Science and engineering students showed similar personality characteristics as would be expected from measurements of the general population, with women scoring…
Descriptors: Role, Personality Traits, Gender Differences, Science Education
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Atwood, Sara A.; Pretz, Jean E. – Journal of Engineering Education, 2016
Background: To date, there has been little research to establish how creativity relates to engineering student persistence and academic achievement. Purpose: This study used creativity to predict engineering student persistence and achievement relative to demographics, academic aptitude, and personality. It further evaluated those predictors for…
Descriptors: Creativity, Engineering Education, Academic Achievement, Academic Persistence
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Hall, Cathy W.; Kauffmann, Paul J.; Wuensch, Karl L.; Swart, William E.; DeUrquidi, Karen A.; Griffin, O. Hayden; Duncan, C. Steve – Journal of Engineering Education, 2015
Background: Engineering programs have high attrition rates, and once in college, students are unlikely to migrate to engineering from other majors. Factors that influence retention must be assessed. Purpose: This study investigated the relationships of aptitude and personality traits in predicting retention for persisting students, those leaving…
Descriptors: College Students, Academic Aptitude, Personality Traits, School Holding Power
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Brown, Jennifer L.; Halpin, Glennelle; Halpin, Gerald – Higher Education Studies, 2015
The demand for STEM graduates has increased, but the number of incoming freshmen who declare a STEM major has remained stagnant. High school courses, such as calculus, can open or close the gate for students interested in careers in STEM. The purpose of this study was to determine if high school mathematics preparation was a significant…
Descriptors: Mathematics Achievement, Grade Point Average, Statistical Analysis, STEM Education
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Pyburn, Daniel T.; Pazicni, Samuel; Benassi, Victor A.; Tappin, Elizabeth M. – Journal of Chemical Education, 2014
Past work has demonstrated that language comprehension ability correlates with general chemistry course performance with medium effect sizes. We demonstrate here that language comprehension's strong cognitive grounding can be used to inform effective and equitable pedagogies, namely, instructional interventions that differentially aid low-skilled…
Descriptors: Chemistry, Intervention, Limited English Speaking, Instructional Design
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Lundy-Wagner, Valerie C.; Veenstra, Cindy P.; Orr, Marisa K.; Ramirez, Nichole M.; Ohland, Matthew W.; Long, Russell A. – Journal of Higher Education, 2014
Expanding access to engineering for underrepresented groups has by and large focused on ethnicity/race and gender, with little understanding of socioeconomic disadvantages. In this study, we use economic, human, and cultural capital theories to frame and then describe access to undergraduate engineering degree programs and bachelor's degrees.…
Descriptors: Economically Disadvantaged, Engineering Education, Longitudinal Studies, Graduation Rate
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Knight, David B. – Educational Evaluation and Policy Analysis, 2014
Colleges and universities are being pressed to seek innovative ways to measure student learning outcomes and identify the conditions that lead to their development. Understanding how students group according to a multidimensional set of learning outcomes provides information on the extent to which institutions are meeting goals. This study…
Descriptors: Classification, Multivariate Analysis, Engineering Education, Higher Education
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Rohr, Samuel L. – Journal of College Student Retention: Research, Theory & Practice, 2013
This study examined the relationship between various admissions selection criteria utilized by a small, Liberal Arts College in Indiana. More specifically, the study examined if a higher college preparatory GPA and a higher aggregate score on the SAT helped predict the retention of science, technology, engineering, mathematics, and business…
Descriptors: Liberal Arts, Grade Point Average, Enrollment, Predictor Variables
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