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Fernando Veiga; Alain Gil-Del-Val; Edurne Iriondo; Urko Eslava – International Journal of Technology and Design Education, 2025
This paper presents the experimental work developed to measure the learning process through concept map analysis. The development of a concept map is requested by the students for each chapter or theme of the subject. As a result, maps from engineering courses have been analyzed. The measurements carried out consider several parameters, such as…
Descriptors: College Students, Engineering Education, Concept Mapping, Learning Processes
Leah M. Ridgway; Tom Cox – IEEE Transactions on Education, 2024
Contribution: This study uses a qualitative research method to analyze interviews where participants simplified an electric circuit while explaining their thought process. Background: Rearranging circuit diagrams is a fundamental skill in electrical and electronic engineering, yet students can struggle with unfamiliar configurations. Current…
Descriptors: Electronic Equipment, Visual Aids, Engineering Education, Undergraduate Students
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
Prince, Michael; Koretsky, Milo; Self, Brian; Vigeant, Margot – Chemical Engineering Education, 2020
Cognitive conflict arises when students' expectation about a physical situation, such as the relative temperatures of metal and cloth, are not experimentally verified. The paper reviews this approach as a tool for promoting conceptual learning in undergraduate engineering courses, through three case studies. These cases demonstrate that cognitive…
Descriptors: Undergraduate Students, Engineering Education, Teaching Methods, Cognitive Processes
Peretz, Roee; Tal, Marina; Akiri, Effrat; Dori, Dov; Dori, Yehudit Judy – Instructional Science: An International Journal of the Learning Sciences, 2023
As science and technology create an ecosystem that is becoming increasingly more knowledge-intensive, complex, and interconnected, the next generation science standards include systems thinking and systems modeling among 21st skills that should be fostered. We examined the effect of an online cross-disciplinary learning process on the development…
Descriptors: Engineering Education, Science Education, Assignments, Interdisciplinary Approach
Fabian Kieser; Peter Wulff; Jochen Kuhn; Stefan Küchemann – Physical Review Physics Education Research, 2023
Generative AI technologies such as large language models show novel potential to enhance educational research. For example, generative large language models were shown to be capable of solving quantitative reasoning tasks in physics and concept tests such as the Force Concept Inventory (FCI). Given the importance of such concept inventories for…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Computer Software
Gil Llinás, Julia; Tobaja Márquez, Luis Manuel – International Journal of Educational Methodology, 2023
This paper describes an experience based on the use of an active method in which students of a basic physics course prepare multiple choice questions (MCQs) to prepare for exams in the subject. The objective of the research was to provide the students with a method that would enhance their desire to learn physics, and consequently lead to an…
Descriptors: Teaching Methods, Physics, Science Instruction, Multiple Choice Tests
Orozco, Mariana; Boon, Mieke; Susarrey Arce, Arturo – European Journal of Engineering Education, 2023
This paper reports on the design of an innovative Electrochemistry course, part of a Chemical Science Engineering programme. Teachers have observed that their students' understanding of electrochemical concepts and phenomena is insufficient to attempt connections to further concepts, and to generate new knowledge in scientific problem-solving. A…
Descriptors: Engineering Education, Chemistry, Science Instruction, Teaching Methods
Brown, Shane; Montfort, Devlin; Perova-Mello, Natasha; Lutz, Ben; Berger, Amber; Streveler, Ruth – Journal of Engineering Education, 2018
Background: Conceptual change is a process in which an individual's understanding and the basis of this understanding change over time. Vosniadou's framework theory explains conceptual change in terms of how students learn to relate the observable and unobservable in everyday phenomena. As a result, courses that relate physical phenomena to…
Descriptors: Undergraduate Students, Engineering Education, Knowledge Level, Mechanics (Process)
Cao, Ying; Koretsky, Milo D. – Journal of Engineering Education, 2018
Background: We have developed several interactive virtual laboratories (IVLs) based on a sequence of agent-based molecular simulations designed to target specific threshold concepts to help students learn thermodynamics. We previously analyzed learning in the IVLs from a cognitive perspective, seeking to repair students' misconceptions; however,…
Descriptors: Engineering Education, Fundamental Concepts, Thermodynamics, Science Laboratories
Perig, Alexander V.; Golodenko, Nikolai N.; Skyrtach, Violetta M.; Kaikatsishvili, Alexander G. – European Journal of Contemporary Education, 2018
A physical process analogy of the learning process was studied using a hydraulic method. Detailed educational guidance describing applied pedagogical concepts for technical instructors of the civil, mechanical, chemical and materials engineering disciplines was formulated. A unified engineering-friendly formulation of learning processes using a…
Descriptors: Teaching Methods, Engineering Technology, Learning Processes, Engineering Education
Crockett, Caroline; Finelli, Cynthia; Powell, Harry C. – European Journal of Engineering Education, 2022
This paper investigates what instructional factors influence conceptual understanding (CU) of signals and systems for senior undergraduate engineering students. Previous results show students in signals and systems courses typically gain little CU, though evidence-based instructional practices, such as active learning, can increase gains in CU.…
Descriptors: Engineering Education, Concept Formation, Undergraduate Students, College Seniors
Yao, Jianchu – Advances in Engineering Education, 2020
This paper presents a design project and its assessment in an undergraduate control theory course. In the project, students mathematically modeled the thermal dynamics of a glass incubator and its heat source. Based on these models, they designed a lag compensator to keep the incubator temperature in a safe range when the external temperature…
Descriptors: Engineering Education, Design, Concept Formation, Undergraduate Students
Altieri, Mike; Schirmer, Evelyn – ZDM: The International Journal on Mathematics Education, 2019
International comparative studies of education have shown that the increase in mathematical attainment differs significantly among students in relation to the different school types in which their mathematical foundations were acquired. In tertiary education, the same differences are observed with respect to simple tasks that relate to the subject…
Descriptors: Algebra, Geometric Concepts, Advanced Students, Mathematics Instruction
Haglund, Jesper; Andersson, Staffan; Elmgren, Maja – Chemistry Education Research and Practice, 2016
Entropy is a central concept in thermodynamics, but has been found to be challenging to students due to its abstract nature and the fact that it is not part of students' everyday language. Interviews with three pairs of engineering students (N = 6) were conducted and video recorded regarding their interpretation and use of the entropy concept, one…
Descriptors: Engineering Education, Scientific Concepts, Thermodynamics, Syntax
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