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Xi Wang; Minhao Dai; Kathleen M. Short – International Journal of STEM Education, 2024
Background: Motivation is the inherent belief to guide students learning goals and behaviors to make continuous efforts and strengthen learning outcomes. Previous research reported the positive impacts of learning motivation on student success, but there have been limited efforts in systematically and structurally studying different types of…
Descriptors: Undergraduate Students, Engineering Education, Learning Motivation, Success
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Steven Higbee; Devany Harrell; Anthony Chase; Sharon Miller – Biomedical Engineering Education, 2025
Purpose: Engineering students gain confidence and competency through continual practice of key skills. The social cognitive theory construct of self-efficacy provides a useful measure to assess students' beliefs in their ability to succeed or perform tasks. Research focused on the impacts of curricular engineering design experiences on student…
Descriptors: Biomedicine, Engineering Education, Undergraduate Students, Self Efficacy
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Samuel B. Gavitte; Milo D. Koretsky; Jeffrey A. Nason – Journal of Computing in Higher Education, 2025
Laboratory activities are central to undergraduate student learning in science and engineering. With advancements in computer technology, many laboratory activities have shifted from providing students experiments in a physical mode to providing them in a virtual mode. Further, physical and virtual modes can be combined to address a single topic,…
Descriptors: Affordances, Computer Simulation, Science Laboratories, Engineering Education
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Ting-Ting Wu; Edi Sarwono; Yueh-Min Huang – Journal of Computer Assisted Learning, 2025
Background: Virtual laboratories are used to supplement or even replace physical laboratories in engineering education. Although these virtual laboratories allow students to learn foundational experimental skills, they do not provide the learners with the chance to develop higher-order thinking skills (HOTS). Computational thinking (CT) is an…
Descriptors: Computation, Thinking Skills, Computer Simulation, Laboratories
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Noach Treitel; Einat Kohn; Ruthy Sfez – Journal of Chemical Education, 2023
A multistep assembly of gold nanoparticle self-assembled monolayers (SAMs) on glass surfaces is proposed, as a third-year undergraduate experiment. The process includes self-assembly (SA) and electrostatic self-assembly (ESA) methods, which are central approaches in modern surface and materials engineering. The products are analyzed using…
Descriptors: Undergraduate Students, Science Experiments, Laboratory Experiments, Chemistry
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Jihyun Rho; Martina A. Rau; Barry Van Veen – Journal of Engineering Education, 2025
Background: Visual representations are pervasive in electrical engineering instruction in various instructional settings. Further, electrical engineering instruction often requires students to extend simple visual representations to learn about more complex visualization in subsequent instruction. Yet, students often struggle to understand…
Descriptors: Engineering Education, Undergraduate Students, Learning Processes, Learning Strategies
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Jessica Swenson; Emma Treadway; Krista Beranger – Journal of Engineering Education, 2024
Background: Real-world engineering problems are ill-defined and complex, and solving them may arouse negative epistemic affect (feelings experienced within problem-solving). These feelings fall into sequenced patterns (affective pathways). Over time, these patterns can alter students' attitudes toward engineering. Meta-affect (affect or cognition…
Descriptors: Engineering Education, Problem Solving, Student Attitudes, Affective Behavior
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Susan Ramlo – European Journal of Engineering Education, 2024
The purpose of this study was to uncover and describe the multiple, divergent student viewpoints about an undergraduate mechanical engineering program at a public university in the US Midwest and their persistence in that program. This study uses Q methodology which mixes qualitative and quantitative research aspects to reveal and describe the…
Descriptors: Engineering Education, Undergraduate Students, Undergraduate Study, Academic Persistence
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Andrew Olewnik; Randy Yerrick; Mike Eastman – European Journal of Engineering Education, 2024
This study explores students' initial engagement with ill-structured problems before and after the introduction of engineering problem typology as a framework for problem engagement and reflection. Using problem discussions, debrief interviews, and qualitative analysis of written artifacts, we considered observed changes to students' initial…
Descriptors: Undergraduate Students, Engineering Education, Problem Solving, Classification
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Qianru Lyu; Wenli Chen; Junzhu Su; Kok Hui John Gerard Heng – Assessment & Evaluation in Higher Education, 2024
Though implementing feedback provided by peers has been an essential step for learning efficiency in peer feedback activities, it remains challenging for students. This study aims to explore the inner structure patterns of students' peer feedback and how they are related to feedback implementation. Sixty-nine engineering students from a Singapore…
Descriptors: Feedback (Response), Foreign Countries, Engineering Education, Peer Evaluation
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Joyce B. Main; Christina Pantoja; Susan M. Lord; Catherine Mobley; Catherine Brawner – Journal of Engineering Education, 2025
Background: In the United States, there is increased demand to expand the engineering workforce. Many military veterans have received technical training that can be leveraged in engineering. Their pursuit of engineering degrees has great potential to expand and diversify the engineering workforce. Purpose: This study examines the pathways of US…
Descriptors: Engineering Education, Veterans, Prior Learning, High School Graduates
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Wu Xu; Zhang Wei; Peng Yan – European Journal of Education, 2025
This study investigates the use of Large Language Models (LLMs) by undergraduates majoring in Instrumentation and Control Engineering (ICE) at University of Shanghai for Science and Technology. We conducted a questionnaire survey to assess the awareness and usage habits of these LLMs among ICE undergraduates in ICE courses, focusing on the model…
Descriptors: Artificial Intelligence, Natural Language Processing, Engineering Education, Majors (Students)
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Mohamad Iyad Al-Khiami; Martin Jaeger; Sayed Mohamad Soleimani; Abdulhadi Kazem – Journal of Computer Assisted Learning, 2024
Background Study: The research discusses the need for a paradigm shift in engineering education current practices to accommodate the digital native students. The paper emphasizes the importance of integrating disruptive technologies, namely Virtual Reality (VR) through Head Mounted Displays VR (HMD VR) and Desktop Based VR (DB VR) and comparing it…
Descriptors: Undergraduate Students, Engineering Education, Computer Simulation, Student Motivation
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Justin Shaffer; Arik Ringsby – Journal of College Science Teaching, 2024
High structure courses ask students to be active participants in the learning process with preclass content acquisition and assessment, in-class active-learning exercises, and after-class review assignments. Although faculty may suggest certain strategies for success in high structure courses, it is unknown what students find valuable and what…
Descriptors: Success, Science Education, Engineering Education, Academic Achievement
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Crockett, Caroline; Powell, Harry C.; Finelli, Cynthia J. – IEEE Transactions on Education, 2023
Contribution: This article proposes a new definition of conceptual understanding (CU) specific to engineering. It then measures CU of signals and systems (S&S) in senior undergraduate students and describes how students approach conceptual problems. Background: Previous studies across multiple engineering subjects show students have low CU at…
Descriptors: Engineering Education, Undergraduate Students, Concept Formation, Student Attitudes
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