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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
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
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
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
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
Smith, Natasha L.; Grohs, Jacob R.; Van Aken, Eileen M. – Journal of Engineering Education, 2022
Background: Increasing the persistence of engineering transfer students can help meet the US national priority of increasing the number of engineering graduates. Many transfer students experience a decrease in their grade point average (GPA) at their receiving institution, known as transfer shock, which can lead to them leaving the institution.…
Descriptors: College Transfer Students, Graduation Rate, Academic Persistence, Engineering Education
Yanyao Deng; Chao Shi – Journal of Applied Research in Higher Education, 2024
Purpose: This study aims to evaluate student motivation before and after the summer internship, in other words, to evaluate whether the summer internship affects male and female motivations differently. Design/methodology/approach: Investigating whether the motivation score predicts grade point average was included by adopting a quantitative…
Descriptors: Student Motivation, Engineering Education, Military Training, Active Learning
Tomás Hyland; Niall Seery; Jeffrey Buckley – European Journal of Engineering Education, 2024
An association between spatial ability, particularly visualisation, and science, technology, engineering, and mathematics (STEM) education has been repeatedly demonstrated over the past four decades. Understanding this relationship is of critical importance as substantial evidence illustrates the malleability of spatial ability and that the…
Descriptors: Spatial Ability, Predictor Variables, Retention (Psychology), Visualization
Sudeshna Pal; Patsy Moskal; Anchalee Ngampornchai – International Journal on E-Learning, 2024
This study investigated the effectiveness of blended instruction in enhancing student success in an advanced undergraduate engineering course. The research used learning analytics captured from pre-recorded lecture videos, course grade data, and student surveys. Results revealed positive correlations between lecture video viewership and course…
Descriptors: Blended Learning, Advanced Courses, Engineering Education, Undergraduate Students
David Reeping; Cynthia Finelli; Joanna Millunchick; Fatemeh Mirzahosseini Zarandi – European Journal of Engineering Education, 2024
Student socialisation into the norms and environment of their institution is a crucial process during their college experience. During the COVID-19 pandemic, these processes were disrupted, and little published research exists exploring comparisons of these student socialisation processes before and during the pandemic. Accordingly, we report on a…
Descriptors: Undergraduate Students, Engineering Education, Socialization, COVID-19