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Svitlana Rogovchenko; Yuriy Rogovchenko – IEEE Transactions on Education, 2024
Contribution: This article identifies possible ruptures between the ways fundamental notions of exact differential and exact differential equations (EDEs) are employed in mathematics courses and professional engineering disciplines. Background: Engineering students often experience difficulties with mathematics courses which may even lead to…
Descriptors: Engineering Education, Difficulty Level, Calculus, Learning Problems
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Tanya Mitropoulos; Diana Bairaktarova; Scott Huxtable – Journal of Engineering Education, 2024
Background: Undergraduate students consistently struggle with mastering concepts related to thermodynamics. Prior work has shown that haptic technology and intensive hands-on workshops help improve learning outcomes relative to traditional lecture-based thermodynamics instruction. The current study takes a more feasible approach to improving…
Descriptors: Engineering, Engineering Education, Difficulty Level, Learning
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Mary Katherine Watson; Elise M. Barrella; Kevin Skenes – Journal of Civil Engineering Education, 2024
At the onset of the COVID-19 pandemic, The Citadel transitioned from a face-to-face to an emergency online modality. We conducted a study to track changes in self-directed learning readiness (SDLR) among engineering students during the Spring 2020 semester, including trends based on demographic, performance, and cognitive load factors. SDLR was…
Descriptors: Independent Study, Undergraduate Students, Engineering Education, COVID-19
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Diana Adela Martin; Gunter Bombaerts – European Journal of Engineering Education, 2025
Challenge Based Learning (CBL) is an educational approach that has gained popularity in response to the need for authentic learning environments. While the CBL literature is predominantly focused on cases of pedagogical implementations, the actual processes by which students develop CBL projects remain under-investigated. This shortitudinal study…
Descriptors: Student Projects, Active Learning, Difficulty Level, Student Behavior
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Andreia Leles; Luciana Zaina; Jose Roberto Cardoso – IEEE Transactions on Education, 2024
The teaching-learning process in engineering aims to meet current societal demands and address real challenges faced by businesses and the job market. Challenge-based learning (CBL) has gained traction as an active and innovative approach in engineering education, introducing real challenges and open questions to the classroom regarding…
Descriptors: Engineering Education, Literature Reviews, Learning Processes, Problem Based Learning
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Rafael Mellado; Claudio Cubillos – Journal of Computer Assisted Learning, 2024
Background: Effective learning in computer programming courses has been a constant challenge for university teachers and has become a relevant competence for current professionals. The literature on gamification in learning presents mixed results, mainly due to problems in instructional design and inconsistency in gamification. Studies with…
Descriptors: Engineering Education, College Students, Computer Software, Technical Occupations
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Yi Ding; Qian Wang; Ru-De Liu; Jolene Trimm; Jiayi Wang; Shu Feng; Wei Hong; Xian-Tong Yang – SAGE Open, 2024
The paper examined the relations among problem solving, automaticity, and working memory load (WML) by changing the difficulty level of task characteristics through two applications. In Study 1, involving 68 engineering students, a 2 (automaticity) x 2 (WML) design was utilized for arithmetic problems. In Study 2, involving 76 engineering…
Descriptors: Short Term Memory, Cognitive Processes, Difficulty Level, Problem Solving
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Ajay Shankar Tiwari; Kaushal Kumar Bhagat – Australasian Journal of Educational Technology, 2024
This study examined the impact of augmented reality (AR) on engineering education, focusing on spatial visualisation skills and cognitive load in an engineering drawing course. The research is based on cognitive load theory and spatial visualisation frameworks. It compares three AR methods--marker-based (MBAR), markerless (MLAR) and Web-based…
Descriptors: Computer Simulation, Engineering Education, Drafting, Visualization
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Maria Al Dehaybes; Johan Deprez; Paul van Kampen; Mieke De Cock – Physical Review Physics Education Research, 2025
When learning physics, students need more than just an understanding of mathematical and physical concepts. Integrating the two fields is crucial, as research indicates that students often struggle even when they have a strong grasp of both. In this paper, we use the heat equation as an example from higher education. Given the importance of the…
Descriptors: Calculus, Physics, Science Instruction, Mathematical Concepts
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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
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Peter Hu; Yangqiuting Li; Chandralekha Singh – Physical Review Physics Education Research, 2024
Quantum information science and engineering (QISE) is a rapidly developing field that leverages the skills of experts from many disciplines to utilize the potential of quantum systems in a variety of applications. It requires talent from a wide variety of traditional fields, including physics, engineering, chemistry, and computer science, to name…
Descriptors: Quantum Mechanics, Computer Science Education, Inquiry, Teaching Methods
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Theogene Niyomufasha; Celestin Ntivuguruzwa; Leon Rugema Mugabo – Cogent Education, 2024
The subject of physics can sometimes seem esoteric and challenging to engineering students. It would be beneficial to create a more conducive learning environment for them by combining words, mathematical equations, graphs, and diagrams to increase their problem-solving abilities. It has been demonstrated in mechanics that employing multiple…
Descriptors: Engineering Education, Problem Solving, Mathematics, Achievement Tests
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Cinthia Viviana Rojas-Palacio; Eliana Isabel Arango-Zuluaga; Héctor Antonio Botero-Castro – Journal of Technology and Science Education, 2024
This paper explains the design and implementation of a novel didactic strategy based on learning styles for teaching automatic control theory in engineering. Traditional research on engineering education has worked to develop teaching methodologies, educational resources, and assessment tasks without considering the learning styles of the…
Descriptors: Cognitive Style, Class Activities, College Faculty, Instructional Design
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Francisco Cima; Pilar Pazos; Minjung Lee; Kristie Gutierrez; Jennifer Kidd; Orlando Ayala; Stacie Ringleb; Krishnanand Kaipa; Danielle Rhemer – IEEE Transactions on Education, 2025
This study contributes to team science and competency development by comparing demonstrated teamwork skills by engineering students participating in disciplinary and cross-disciplinary team projects. Teamwork skills are key competencies necessary to solve complex technical challenges in the workplace. Despite prior efforts to enhance these…
Descriptors: Skill Development, Teamwork, Undergraduate Students, Engineering Education
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C. M. Rathnayaka; J. Ganapathi; S. Kickbusch; L. Dawes; R. Brown – European Journal of Engineering Education, 2024
Laboratory learning forms a significant and integral part of engineering education, wherein students develop technical, collaborative, enquiry, and observation skills that go beyond theoretical studies. Engineering is inherently a practice-based profession, and consequently, laboratory work has been inseparable for engineering curricula. However,…
Descriptors: Educational Resources, Laboratories, Electronic Learning, Engineering Education