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Gabriella M. Sallai; Catherine G. P. Berdanier – Journal of Engineering Education, 2024
Background: Although most engineering graduate students are funded and usually complete their degrees faster than other disciplines, attrition remains a problem in engineering. Existing research has explored the psychological and sociological factors contributing to attrition but not the structural factors impacting attrition. Purpose/Hypothesis:…
Descriptors: Engineering Education, Student Attrition, Dropouts, Dropout Characteristics
Wild, Steffen; Rahn, Sebastian; Meyer, Thomas – Empirical Research in Vocational Education and Training, 2023
Cooperative education programs are usually based on a partnership between companies and universities. Dropouts have a particular impact here, for example the loss of junior staff in the companies. Most dropouts in cooperative education occur in the first academic year. In this multicausal dropout process, the influence of the cooperation partner…
Descriptors: Foreign Countries, College Freshmen, Dropouts, Dropout Characteristics
J. E. Tait; L. A. Alexander; E. I. Hancock; J. Bisset – European Journal of Engineering Education, 2024
Engineering students enter a challenging sector in higher education and are potentially at risk of poor mental health and or mental wellbeing and less likely to seek help when experiencing poor mental health or wellbeing. We carried out a scoping review using Joanna Briggs Institute scoping review methodology. Ten databases were searched over a…
Descriptors: Engineering Education, College Students, At Risk Students, Mental Health
Baltà-Salvador, Rosó; Olmedo-Torre, Noelia; Peña, Marta – IEEE Transactions on Education, 2022
Contribution: The present research provides new evidence on the predictors of foreign-born (FB) students' dropout and the situations of discrimination that emerge on engineering campuses. Background: Ethnic minority students remain underrepresented in engineering degrees and have higher dropout rates than their White peers. Previous literature…
Descriptors: Racial Discrimination, Dropouts, Intention, Disproportionate Representation
Schettig, Erik J.; Kelly, Daniel P.; Ernst, Jeremy V.; Clark, Aaron C. – Journal of Technology Education, 2022
Success in post-secondary engineering graphics courses in technology and engineering often relies on self-efficacy, academic success, and mental rotation abilities. Using a facilitative instructor model, the Improving Undergraduate STEM Education (IUSE) team applied active learning modules as supplemental material at two post-secondary…
Descriptors: Engineering Education, Undergraduate Study, STEM Education, Active Learning
Cannistrà, Marta; Masci, Chiara; Ieva, Francesca; Agasisti, Tommaso; Paganoni, Anna Maria – Studies in Higher Education, 2022
This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…
Descriptors: Dropouts, Potential Dropouts, Dropout Prevention, Dropout Characteristics
How Calculus Eligibility and At-Risk Status Relate to Graduation Rate in Engineering Degree Programs
Bowen, Bradley D.; Wilkins, Jesse L. M.; Ernst, Jeremy V. – Journal of STEM Education: Innovations and Research, 2019
The problematic persistence rates that many colleges and schools of engineering encounter has resulted in ongoing conversations about academic readiness, retention, and degree completion within engineering programs. Although a large research base exists about student preparedness in engineering, many studies report a wide variety of factors that…
Descriptors: At Risk Students, Engineering Education, Graduation Rate, College Students
Danowitz, Andrew; Beddoes, Kacey – IEEE Transactions on Education, 2022
Contribution: Screening rates for engineering students for several major and moderate mental health issues are reported, including unspecified psychological distress as captured by the Kessler 6 screening instrument; screening rates for depressive, anxiety, and eating disorders as measured by the patient health questionnaire (PHQ); and screening…
Descriptors: Engineering Education, College Students, Mental Disorders, Screening Tests
Alvarez, Niurys Lázaro; Callejas, Zoraida; Griol, David – Journal of Technology and Science Education, 2020
We present an educational data analytics case study aimed at the early detection of potential dropout in Computer Engineering studies in Cuba. We have employed institutional data of 456 students and performed several experiments for predicting their permanency into three (promotion, repetition, and dropout) or two classes (promoting, not…
Descriptors: Foreign Countries, College Students, Computer Science Education, Engineering Education
Li, Jiawei; Supraja, S.; Qiu, Wei; Khong, Andy W. H. – International Educational Data Mining Society, 2022
Academic grades in assessments are predicted to determine if a student is at risk of failing a course. Sequential models or graph neural networks that have been employed for grade prediction do not consider relationships between course descriptions. We propose the use of text mining to extract semantic, syntactic, and frequency-based features from…
Descriptors: Course Descriptions, Learning Analytics, Academic Achievement, Prediction
Bowman, Nicholas A.; Jang, Nayoung; Kivlighan, D. Martin; Schneider, Nancy; Ye, Xiaomeng – Research in Higher Education, 2020
Many degree-seeking college students struggle academically and ultimately never graduate. Academic challenges and persistence within the major are especially salient issues for students who major in science, technology, engineering, and mathematics. Academic probation serves as a means for informing students that they are at risk of dismissal, and…
Descriptors: Goal Orientation, Engineering Education, Academic Achievement, At Risk Students
Brown, Michael Samuel, Jr. – ProQuest LLC, 2019
This mixed-methods grounded theory study investigates the development of engineering identity cultivated through engagement in informal learning experiences. In addition, the retention of engineering students and academic performance are investigated for connections to these learning environments. This is the beginning of work to identify best…
Descriptors: Informal Education, Engineering Education, Professional Identity, School Holding Power
Maharaj, Chris; Sirjoosingh, Vashish; Ali, Aadil; Primus, Simone J.; Arjoon, Surendra – Journal of College Student Retention: Research, Theory & Practice, 2021
This study concerns students in an internationally accredited undergraduate mechanical engineering program who due to consistent poor grades are academically dismissed and, by existing policy, required to take a 1-year leave of absence. The purpose was to determine whether the policy could be improved to offer more proactive solutions to address…
Descriptors: Academic Failure, Engineering Education, Grade Point Average, Academic Probation
Namrata Murthy – ProQuest LLC, 2021
Demand is high for engineering students and educators must identify factors affecting persistence and graduation of engineers. Retention and graduation rates remain problematic for many institutions. Higher education research focuses on these two issues as many students head to engineering programs with a wide range of attributes, characteristics,…
Descriptors: Academic Persistence, School Holding Power, Predictor Variables, Engineering Education
Lagubeau, Guillaume; Tecpan, Silvia; Hernández, Carla – Physical Review Physics Education Research, 2020
We present the findings of a pilot plan of active learning implemented in introductory physics in a Chilean public university. The model is research based as it considered a literature review for adequate selection and design of activities consistent with the levels of students' reasoning skills. The level of scientific reasoning is positively…
Descriptors: Active Learning, Instructional Effectiveness, At Risk Students, Thinking Skills
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