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Nicolas Dietrich; Gaëlle Lebrun; Kalyani Kentheswaran; Mathias Monnot; Patrick Loulergue; Carine Franklin; Florence Teddé-Zambelli; Chafiaa Djouadi; Sébastien Leveneur; Mallorie Tourbin; Yolaine Bessie`re; Carole Coufort-Saudejaud; Annabelle Couvert; Eric Schaer – Journal of Chemical Education, 2022
Women are increasingly present in the field of engineering, but despite a significant female presence, it has been found that the programs continue to make no reference to women scientists. In chemical engineering, for example, all the names of scientists mentioned in the programs belong to men only. To test this hypothesis of over-representation…
Descriptors: Females, Disproportionate Representation, Engineering, Engineering Education
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Sharon Tettegah; Ebenezer Larnyo; Charles Terry; Jessica Young; Dave Vallett; Alan B. Craig; Yingtao Jiang – Schools: Studies in Education, 2024
Increasing diversity and broadening participation in engineering programs has been a persistent challenge due to various factors. Despite efforts to enhance engineering education, we have not seen a significant increase in matriculation, retention, and graduation rates in certain engineering fields. For decades, academic institutions have received…
Descriptors: Engineering Education, Disproportionate Representation, Access to Education, Minority Group Students
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Livezey, Mara R. – Journal of Chemical Education, 2022
Diversity, equity, and inclusion (DEI) practices are a hallmark of high-impact pedagogy. Such practices are common in discussions regarding the retention of all students in STEM, but especially those with identities such as Black, Indigenous, persons of color, female, and LGBTQIA+. However, the extent to which DEI-framed content improves alignment…
Descriptors: Chemistry, Science Instruction, Nonmajors, Outcomes of Education
DeRocchis, Anthony M.; Michalenko, Ashley; Boucheron, Laura E.; Stochaj, Steven J. – Grantee Submission, 2018
This Innovative Practice Category Work In Progress paper presents an application of machine learning and data mining to student performance data in an undergraduate electrical engineering program. We are developing an analytical approach to enhance retention in the program especially among underrepresented groups. Our approach will provide…
Descriptors: Engineering Education, Data Analysis, Undergraduate Students, Artificial Intelligence
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Potter, Charles; Van Der Merwe, Errol; Kaufman, Wendy; Delacour, Julie – European Journal of Engineering Education, 2006
We have previously reported in this journal that spatial ability influences academic performance in engineering. We have also reported that spatial ability is trainable, and can be increased through instruction focused on using perception and mental imagery in three-dimensional representation. In this article, we present the results of a…
Descriptors: Imagery, Academic Achievement, Course Content, Program Effectiveness
Morozov, Andrew; Kilgore, Deborah; Yasuhara, Ken; Atman, Cindy – Center for the Advancement of Engineering Education (NJ1), 2008
There is evidence in the literature that women have lower confidence in their skills and knowledge than men, particularly in areas considered crucial for engineering, like math and science. This difference has been linked to gender gaps in engineering enrollment and persistence. This study of engineering students extends research on gender…
Descriptors: Females, Self Efficacy, Mathematics Achievement, Science Achievement
Froschl, Merle; Sprung, Barbara; Archer, Elayne; Fancsali, Cheri – Academy for Educational Development, 2003
This report presents a research-action agenda to enhance the role of afterschool education in increasing girls' participation in science, technology, engineering, and mathematics (STEM) courses, majors, and careers. The research-action agenda was developed for three areas: access, recruitment, and persistence; program content, approaches, and…
Descriptors: Educational Research, After School Programs, Females, Womens Education