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Ryan J. Milcarek; Samantha R. Brunhaver; Thien Ta; Cody D. Jenkins; Gary Lichtenstein; Karl A. Smith – Advances in Engineering Education, 2025
Certain introductory engineering courses have been termed gateway courses, due to high failure rates resulting in many students leaving engineering altogether. In one such course, thermodynamics, instructors intentionally formed peer-led study groups (PLSGs) with an undergraduate teaching aide (UGTA) playing a supportive facilitator role instead…
Descriptors: Engineering Education, Thermodynamics, Peer Teaching, Communities of Practice
Oscar Fierro; Alex Palma-Cando; Paola E. Ordo´n~ez; Marvin Ricaurte – Journal of Chemical Education, 2025
This study describes an educational strategy of forming transdisciplinary work teams--with students from different careers and semesters--for developing academic projects as a collaborative learning tool. This strategy was implemented in the elective course Process Design, which involved developing projects in industrial processes. As a final…
Descriptors: Educational Strategies, Training, Outreach Programs, Interdisciplinary Approach
Humaira Mariyam B.; V. K. Karthika – Education and Information Technologies, 2025
This study investigates the efficacy of artificial intelligence in facilitating networked learning that aids educators in creating inclusive and academically responsible learning environments in Indian English for Specific Purposes (ESP) classrooms. Designed as a qualitative case study, the intervention involves twenty participants from an…
Descriptors: Artificial Intelligence, Technology Uses in Education, Humanism, English for Special Purposes
Qing Wu; Xiaoyan Cheng; Wenke Wang; Chuanyi Wang – European Journal of Education, 2025
This study expands the New Human Capital Theory by emphasising how the synergy of multiple skill combinations contributes to securing high-paying positions. Unlike traditional research that focuses on the wage premiums of single or paired skills, this study finds that a composite configuration of decision-making, innovation, research and…
Descriptors: Employment Potential, Job Skills, Engineering Education, College Graduates
Chen Huei Leo; Nachamma Sockalingam; Mei Xuan Tan; Yajuan Zhu; Xiaojuan Khoo – Biomedical Engineering Education, 2025
Challenge Statement: Laboratory classes are indispensable in the teaching of biomedical engineering education, offering students invaluable hands-on experience and opportunities for practical application of theoretical knowledge. However, without a deep understanding of the underlying principles, students may find themselves merely going through…
Descriptors: Instructional Design, Inquiry, Active Learning, Biomedicine
Spencer E. Szczesny; Alyssa K. Salazar – Biomedical Engineering Education, 2025
Purpose: While women earn an equal proportion of undergraduate degrees in biomedical engineering, there is a significant decline in female representation at the graduate and faculty levels. Prior studies suggest that an inclusive environment could increase female retention in engineering, and there has been increased interest in adding elements of…
Descriptors: Females, Disproportionate Representation, Graduate Students, College Faculty
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
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
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
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
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
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
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
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
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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