Publication Date
| In 2026 | 0 |
| Since 2025 | 9 |
| Since 2022 (last 5 years) | 45 |
| Since 2017 (last 10 years) | 119 |
| Since 2007 (last 20 years) | 249 |
Descriptor
Source
Author
| Godwin, Allison | 3 |
| Hazari, Zahra | 3 |
| Jin, Qu | 3 |
| Lawanto, Oenardi | 3 |
| Yuksel, Dogan | 3 |
| Bowen, Bradley D. | 2 |
| Chen, Helen L. | 2 |
| Colby, Anne | 2 |
| Curle, Samantha | 2 |
| Dika, Sandra L. | 2 |
| Ernst, Jeremy V. | 2 |
| More ▼ | |
Publication Type
Education Level
Audience
Location
| Turkey | 12 |
| Germany | 7 |
| India | 6 |
| Spain | 6 |
| Israel | 5 |
| Texas | 5 |
| Australia | 4 |
| California | 4 |
| Massachusetts | 4 |
| Netherlands | 4 |
| South Africa | 4 |
| More ▼ | |
Laws, Policies, & Programs
| Carl D Perkins Vocational… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Zachary del Rosario – Journal of Statistics and Data Science Education, 2024
Variability is underemphasized in domains such as engineering. Statistics and data science education research offers a variety of frameworks for understanding variability, but new frameworks for domain applications are necessary. This study investigated the professional practices of working engineers to develop such a framework. The Neglected,…
Descriptors: Foreign Countries, Engineering Education, Engineering, Technical Occupations
Villas Boas de A. Lima, Gabriel; Catarina Gandra Carvalho, Ana; Martins das Neves, Renato – European Journal of Engineering Education, 2022
The reasons why Brazilian civil engineering education has not achieved competitive performance worldwide remain unclear. Thus, this study aims to identify what factors influence student performance in civil engineering undergraduate programs in public institutions in Brazil. Multiple linear regression methods were used to analyse the interactions…
Descriptors: Influences, Institutional Characteristics, Civil Engineering, Engineering Education
Fang-Ying Yang; Kaushal Kumar Bhagat; Christian Brandmo; Wan-Yue Zhan; Ivar Bråten – European Journal of Psychology of Education, 2025
In a sample of 323 engineering students, structural equation modeling was used to test hypothesized relationships between beliefs about the nature of knowledge in science, beliefs about the process of justification for knowing in science, and argumentative reasoning about an ill-structured social-scientific issue. Beliefs about justification for…
Descriptors: Climate, Persuasive Discourse, Engineering Education, Scientific Principles
Anjing Dai; Li Tan – Journal of Engineering Education, 2025
Background: Despite the vital function of engineering and computer science (Eng & CS) to innovation and economic development, retention within Eng & CS programs remains a major challenge in the U.S. educational system. Despite extensive research on influential factors of retention, there is a gap in our understanding of how these factors…
Descriptors: Undergraduate Students, Engineering Education, Computer Science Education, School Holding Power
Isaac Dunmoye; Olanrewaju Olaogun; Nathaniel Hunsu; Dominik May; Robert Baffour – IEEE Transactions on Education, 2024
Contribution: The study examines the predictive and mediating significance of social and teaching presences on cognitive presence in a Community of Inquiry (CoI) mediated by a desktop virtual reality (VR). The findings of this study have implications for how to leverage VR learning environments to support meaningful collaborative engagement.…
Descriptors: Computer Simulation, Engineering Education, Interpersonal Relationship, Cooperative Learning
Tyler Milburn; Meagan E. Ita; Krista M. Kecskemety – Discover Education, 2025
A better understanding of how to improve student retention in engineering is required to support students in completing engineering degrees and entering the workforce. Application processes to engineering majors are one barrier to retention in some engineering programs. This study evaluates demographic, grades, application process, and engineering…
Descriptors: College Students, Majors (Students), Engineering Education, Predictor Variables
Jonathan Steinberg; Carol Forsyth; Jessica Andrews-Todd – ETS Research Report Series, 2024
In a study of 370 postsecondary students in electronics, engineering, and other science classes, we investigated collaborative problem-solving (CPS) skills that best predict performance at individual levels in an online electronics environment. The results showed that while monitoring was a consistent predictor across levels, other skills such as…
Descriptors: Problem Solving, Predictor Variables, Performance, Task Analysis
Phan, Nga Thi Tuyet – Knowledge Management & E-Learning, 2023
Most previous studies have focused on learners' self-efficacy in face-to-face learning environments, while few have delved into that of MOOC learners. No research has touched upon the MOOC self-efficacy of engineering students in developed and developing countries. This research compared the self-efficacy levels of engineering students in Taiwan…
Descriptors: Self Efficacy, MOOCs, Comparative Analysis, Foreign Countries
Harun Cigdem; Semiral Oncu – TechTrends: Linking Research and Practice to Improve Learning, 2025
Despite efforts to implement innovative approaches such as flipped learning leveraging computer technology, the challenge of student failure persists. Understanding the factors that contribute to student success in flipped engineering courses remains a critical issue. This study addresses this issue by investigating the impact of student…
Descriptors: Gamification, Flipped Classroom, Learner Engagement, Learning Readiness
Matthew Bahnson; Eric T. McChesney; Carlie Cooper; Gerard Dorvè-Lewis; Allison Godwin; Kevin Binning; Linda DeAngelo – Journal of Engineering Education, 2025
Background: Engineering requires new solutions to improve undergraduate performance outcomes, including course grades and continued enrollment in engineering pathways. Belonging and engineering role identity have long been associated with successful outcomes in engineering, including academic success, retention, and well-being. Purpose: We measure…
Descriptors: Gender Differences, Racial Differences, Predictor Variables, Grades (Scholastic)
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
Brett D. Jones; Xiao Zhu; Margaret Ellis; Zeynep Ambarkutuk; Hande Fenerci – European Journal of Engineering Education, 2025
To address the demand for engineers and computer scientists in the workforce, and the fact that some engineering students dropout or change majors, we explored how the motivational climate in an undergraduate computer science (CS) course was related to students' motivational beliefs and academic and career goals. Participants included 310 students…
Descriptors: Student Attitudes, Student Motivation, Beliefs, Occupational Aspiration
Heddy, Benjamin C.; Danielson, Robert W.; Ross, Kelly; Goldman, Jacqueline A. – Journal of Engineering Education, 2023
Background: Promoting engagement and motivation in early engineering experiences is important for fostering interest and retention in engineering. One method that has been effective for doing so is facilitating transformative experiences (TEs), which occurs when students apply academic content to everyday experience. Our goal was to explore the…
Descriptors: Engineering Education, Transformative Learning, Program Effectiveness, Middle School Students
Manuel Medina-Labrador; Gustavo Rene Garcia-Vargas; Fernando Marroquin-Ciendua – Turkish Online Journal of Distance Education, 2023
The dropout rate is the most significant disadvantage in Massive Open Online Courses (MOOC); most of the time, it exceeds 90%. This research compares the effect of cognitive bias, gamification, monetary compensation, and student characteristics (gender, age, years of education, student geographical location, and interest in the course certificate)…
Descriptors: MOOCs, Dropouts, Bias, Gamification
Bledar Fazlija – International Educational Data Mining Society, 2024
Metacognitive information has been shown to be related to performance in learning tasks. We investigated feelings of difficulty (FOD) in the context of university-level mathematics and asked whether and to what extent they predict performance. To this end, we conducted an experiment with 90 students and six experienced lecturers. We carefully…
Descriptors: Difficulty Level, College Mathematics, College Students, College Faculty

Peer reviewed
Direct link
