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Marcus Brumfield; Mahnas Jean Mohammadi-Aragh; Lesley Strawderman – Journal of STEM Education: Innovations and Research, 2025
Underrepresentation in engineering disciplines remains a significant issue in higher education and the workforce. This paper presents a quantitative analysis comparing the academic success of participants in an engineering-focused Summer Bridge Program (SBP) to non-participants with similar characteristics. The study evaluates first-year…
Descriptors: College Freshmen, African American Students, Engineering Education, Transitional Programs
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Ibukun Osunbunmi; Taiwo Feyijimi; Stephanie Cutler; Yashin Brijmohan; Lexy Arinze; Viyon Dansu; Bolaji Bamidele; Jennifer Wu; Robert Rabb – Journal of Engineering Education, 2025
Background: Attrition of engineering students continues to be a concern in higher education. Despite indications that students who opt to leave engineering programs may go on to make meaningful contributions in other fields more aligned to their interests, it remains essential to support those who choose to stay in engineering with the necessary…
Descriptors: Artificial Intelligence, Technology Uses in Education, Engineering Education, Educational Research
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Vladislav Krivoshchekov; Nihat Kotluk; Yoann Favre; Marina Fiori; Egon Werlen; Roland Tormey – Journal of Engineering Education, 2025
Background: Engineering education often upholds masculinity norms such as individual competitiveness and emotional stoicism. These norms affect team dynamics and students' satisfaction with learning experiences in team projects. Purpose: This study explores how social emotions experienced by computer science students, in conjunction with their…
Descriptors: Engineering Education, Cooperative Learning, Teamwork, Psychological Patterns
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Isabel Miller; Karin Jensen – Journal of Engineering Education, 2025
Background: Engineering has its own unique disciplinary culture that establishes norms and ideals. Many of these norms and ideals are centered on White, masculine, heteronormative constructs, which tend to presuppose able-bodiedness. Students with disabilities in engineering must navigate spaces that contain inherent social and physical barriers.…
Descriptors: Engineering Education, Students with Disabilities, Student Experience, Student Attitudes
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Rutz, Eugene – Journal of STEM Education: Innovations and Research, 2021
Engineering courses required of all first-year engineering students at the University of Cincinnati were made available to regional high schools through dual enrollment. This program has allowed the university to develop authentic and meaningful relationships with high schools and increase students' interest in studying engineering. Participation…
Descriptors: Student Interests, Academic Achievement, Dual Enrollment, Engineering Education
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Eichler, Andreas; Gradwohl, Julia – International Journal of Research in Undergraduate Mathematics Education, 2021
Engineering students particularly struggle with mathematics in the first year of their university studies. A result of these difficulties are high drop-out rates among the engineering students. There are various measures to support the students in their studies such as preparatory courses or bridging courses. The contribution of this research is…
Descriptors: Student Motivation, Cognitive Processes, Engineering Education, College Freshmen
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Prakash, K. R.; Santhosh, M. S.; Purushothama, G. K.; Ramya, M. V. – International Journal of Web-Based Learning and Teaching Technologies, 2021
Practical learning methodologies have become the need of the hour in the education sector, in particular in engineering education, to achieve technical competencies and skills. Advancements in web-based learning strategies have evolved over the years, and technology has played a major role in creating e-learning resources, among which remote labs…
Descriptors: Internet, Laboratories, Engineering Education, Automation
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Secules, Stephen; Sochacka, Nicola W.; Huff, James L.; Walther, Joachim – Journal of Engineering Education, 2021
Background: Shame is a deeply painful emotion people feel when they perceive that they have fallen short of socially constructed expectations. In this study, "professional shame" refers to shame experiences that stem from people's perceptions that they have failed to meet expectations or standards that are relevant to their identities in…
Descriptors: Social Influences, Psychological Patterns, Expectation, Undergraduate Students
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Alonso-Nuez, María J.; Gil-Lacruz, Ana I.; Rosell-Martínez, Jorge – International Journal of Technology and Design Education, 2021
This research shows, on a wide dataset of students, that evaluation methods to promote active learning improve students' academic success and performance. On a database of 4622 engineering and design students, we demonstrate that this result holds when correcting the selection bias--more engaged students opt for active learning. The intriguing…
Descriptors: Student Evaluation, Learner Engagement, Active Learning, Engineering Education
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Reeping, David; Grote, Dustin M.; Knight, David B. – IEEE Transactions on Education, 2021
Contribution: This article details the potential impacts of a curricular revision at a four-year institution on electrical and computer engineering (ECE) vertical transfer students using Heileman et al.'s curricular complexity framework. Background: The curriculum refresh was prompted by a National Science Foundation funded program called…
Descriptors: Engineering Education, Educational Change, College Transfer Students, Curriculum Development
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Shekhar, Prateek; Huang-Saad, Aileen – International Journal of STEM Education, 2021
Background: Recent research has demonstrated the importance of entrepreneurship education programs (EEPs) in the professional development of engineering students. Numerous universities have adopted various forms of EEPs which are typically offered as elective programs. To create suitable programs that will encourage students to seek out EEPs, it…
Descriptors: Engineering Education, Student Participation, Student Attitudes, Undergraduate Students
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Varagnolo, Damiano; Knorn, Steffi; Staffas, Kjell; Fjällström, Eva; Wrigstad, Tobias – European Journal of Engineering Education, 2021
In this paper, we propose a method to analyse the coherence of existing curricula at higher education institution. We focus our attention to engineering programmes at universities but the proposed method is by no means restricted to those cases. In contrast to other known methods, our approach is quantitative, decentralised, and asynchronous and…
Descriptors: Curriculum Evaluation, Evaluation Methods, College Curriculum, Engineering Education
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Tomko, Megan; Alemán, Melissa W.; Newstetter, Wendy; Nagel, Robert L.; Linsey, Julie – Journal of Engineering Education, 2021
Background: Engineering education has observed considerable growth in academic makerspaces with initial data indicating significant potential for makerspaces to support learning. Purpose/Hypothesis: Given gender disparities in engineering as a professional community of practice (CoP) and indications for makerspaces as sites for learning,…
Descriptors: Student Participation, Females, College Students, Disproportionate Representation
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Daley, Joshua; Baruah, Bidyut – European Journal of Engineering Education, 2021
Today, the engineering landscape is continually changing, and Higher Education Institutions (HEIs) have a responsibility to design curricula that address the growing demands of various industry sectors. Likewise, the roles and responsibilities of an engineer are evolving; requiring a further broadening of the current engineering curriculum. As a…
Descriptors: Foreign Countries, Universities, Engineering Education, Leadership Training
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Roy, Abhik; Rambo-Hernandez, Karen E. – American Journal of Evaluation, 2021
Evaluators often find themselves in situations where resources to conduct thorough evaluations are limited. In this paper, we present a familiar instance where there is an overwhelming amount of open text to be analyzed under the constraints of time and personnel. In instances when timely feedback is important, the data are plentiful, and answers…
Descriptors: Artificial Intelligence, Engineering Education, Natural Language Processing, College Students
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