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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
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
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
An Jie Lye; Peng Yen Liew; Hidayah Mohd Fadzil; Chan Choong Foong – Journal of Chemical Education, 2023
Current engineering education should develop the noncognitive abilities of students. Psychological capital (PsyCap) is defined as an individual's strengths of self-efficacy, optimism, hope, and resiliency. PsyCap is an essential noncognitive ability that influences student mental health and academic performance, yet limited research has been done…
Descriptors: Emotional Intelligence, Student Characteristics, Chemical Engineering, Predictor Variables
Van Wyk, Barend; Mason, Henry D. – Cogent Education, 2021
This article reports on a study investigating the relationship between university students' self-reported use and application of learning and study strategies and student success indicators (timeframe and student type, namely low-performing, average-performing, or high-performing). Participants were 1,439 engineering students enrolled for academic…
Descriptors: Learning Strategies, Engineering Education, College Students, Foreign Countries
Sahoo, Swagatika; Panda, Rajeev Kumar – Education & Training, 2019
Purpose: The purpose of this paper is to empirically investigate the impact of the contextual antecedents on the individual entrepreneurial orientation (IEO) of university graduates, which, in turn, affects their entrepreneurial intentions (EIs). Design/methodology/approach: Primary data were collected in the form of 510 valid responses from…
Descriptors: Entrepreneurship, Intention, College Students, Engineering Education
Alalouch, Chaham – Education Sciences, 2021
Cognitive styles affect the learning process positively if tasks are matched to the cognitive style of learners. This effect becomes more pronounced in complex education, such as in engineering. We attempted to critically assess the effect of cognitive styles and gender on students' academic performance in eight engineering majors to understand…
Descriptors: Cognitive Style, Gender Differences, Academic Achievement, Engineering Education
Abdelfattah, Faisal A.; Obeidat, Omar S.; Salahat, Yousef A.; BinBakr, Maha B.; Al Sultan, Adam A. – Journal of Applied Research in Higher Education, 2022
Purpose: This study examined predictors of cumulative grade point average (GPA) from entrance scores and successive performance during students' academic work in university engineering programs. Design/methodology/approach: Scores from high school coursework, the General Ability Test and the Achievement Test were examined to determine if these…
Descriptors: Prediction, Validity, Scores, Grade Point Average
Olanrewaju P. Olaogun; Nathaniel J. Hunsu – European Journal of Psychology of Education, 2025
Students have misconceptions about many scientific topics they encounter in the classroom--such misconceptions are especially rife in subjects with counterintuitive concepts. Several studies have copiously documented students' misconceptions in different science domains. Research shows that students' misconceptions can be resistant to change and…
Descriptors: College Students, College Faculty, Engineering Education, Misconceptions
Yuksel, Dogan; Soruç, Adem; Horzum, Baris; McKinley, Jim – Studies in Second Language Learning and Teaching, 2023
This study focuses on the predictive power of linguistic (i.e., general English proficiency; identified simply as "proficiency" in this paper) and non-linguistic (i.e., language learning anxiety and self-regulation) factors on the academic success of English medium instruction (EMI) students studying in engineering and social sciences…
Descriptors: Language Proficiency, English (Second Language), Second Language Learning, Anxiety
Phelps, L. Allen; Camburn, Eric M.; Min, Sookweon – Journal of Pre-College Engineering Education Research, 2018
Despite the recent policy proclamations urging state and local educators to implement integrated science, technology, engineering, and mathematics (STEM) curricula, relatively little is known about the role and impact of pre-college engineering courses within these initiatives. When combined with appropriate mathematics and science courses, high…
Descriptors: College Students, Decision Making, Majors (Students), STEM Education
Munroe Bignall, Seliene Elessia – ProQuest LLC, 2020
The purpose of this study was to examine the relationship between the qualifying cumulative grade point average (C-GPA) and grit in engineering students compared with African American female engineering students, who qualify to take upper-level courses in engineering at a Historically Black Colleges and Universities (HBCU) in a Southern state.…
Descriptors: Grade Point Average, Engineering Education, College Students, Academic Persistence

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