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Mike, Koby; Hazzan, Orit – IEEE Transactions on Education, 2023
Contribution: This article presents evidence that electrical engineering, computer science, and data science students, participating in introduction to machine learning (ML) courses, fail to interpret the performance of ML algorithms correctly, since they fail to consider the application domain. This phenomenon is referred to as the domain neglect…
Descriptors: Engineering Education, Computer Science Education, Data Science, Introductory Courses
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
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
Campbell, Corbin M. – Journal of College Science Teaching, 2022
Based on the largest multi-institutional observational study of undergraduate courses in the United States, this article describes exemplar teaching practices in engineering courses as an interdisciplinary science field. The College Educational Quality (CEQ) research project studied 587 courses in nine different U.S. colleges and universities.…
Descriptors: Instructional Effectiveness, Teaching Methods, STEM Education, College Instruction
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
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
Mukhtar, Faisal M.; Al-Gahtani, Husain J. – International Journal of Mathematical Education in Science and Technology, 2021
Use of three-force member concept for rigid bodies whenever possible, to circumvent the more taxing use of equilibrium equations has been long-established. However, most students fail to reap its benefits due to a number of reasons, including the fact that its importance is hardly emphasized to them; skills and details needed for the concept are…
Descriptors: Mathematics Instruction, Teaching Methods, Undergraduate Students, Textbooks
Xing, Wanli; Pei, Bo; Li, Shan; Chen, Guanhua; Xie, Charles – Interactive Learning Environments, 2023
Engineering design plays an important role in education. However, due to its open nature and complexity, providing timely support to students has been challenging using the traditional assessment methods. This study takes an initial step to employ learning analytics to build performance prediction models to help struggling students. It allows…
Descriptors: Learning Analytics, Engineering Education, Prediction, Design
Darejeh, Ali; Mashayekh, Sara; Marcus, Nadine – Cogent Education, 2022
E-learning systems, which are used for teaching complex software, can facilitate learning if they provide an appropriate teaching approach that decreases learners' cognitive load in addition to providing practical knowledge. We believe there is lack of cognitively guided educational recommendations on how to effectively and efficiently design such…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Computer Science Education
Zhu, Lilin; Xiang, Gang – Physics Education, 2022
We report on the study of student difficulties regarding a heat engine in the context of a Stirling cycle by the method of measurement. An in-class test about a Stirling engine with a regenerator was taken by three classes, and the students were asked to perform one of the most basic activities--calculate the efficiency of the heat engine. Our…
Descriptors: Heat, Physics, Science Instruction, Engines
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
Rensaa, Ragnhild Johanne; Hogstad, Ninni Marie; Monaghan, John – International Journal of Mathematical Education in Science and Technology, 2021
This paper reports on themes that arose in an investigation of university lecturers' views on the teaching of linear algebra. This focus on themes was the initial part of a study concentrating on four areas: What is important to teach in a first course in linear algebra? Are there teaching methods which are particularly suited for such a course?…
Descriptors: Teaching Methods, Algebra, College Faculty, Advanced Courses
Torrecilla, José S.; Gutiérrez-de-Rozas, Belén; Cancilla, John C. – Journal of Chemical Education, 2021
The teaching methodology known as thinking-based learning (TBL) is presented here in the scope of a chemical engineering class. This method has been tested experimentally for the past six years within a chemical engineering class which belongs to the chemistry bachelor's degree in the Complutense University of Madrid (Spain). Specifically, TBL was…
Descriptors: Chemical Engineering, Engineering Education, Teaching Methods, Instructional Effectiveness
Yang, Dazhi; Streveler, Ruth; Miller, Ronald L.; Senocak, Inanc; Slotta, Jim – Journal of Engineering Education, 2020
Background: Chi and colleagues have argued that some of the most challenging engineering concepts exhibit properties of emergent systems. However, students often lack a mental framework, or schema, for understanding emergence. Slotta and Chi posited that helping students develop a schema for emergent systems, referred to as schema training, would…
Descriptors: Heat, Thermodynamics, Scientific Concepts, Concept Formation
Ros, Germán; Fraile Rey, Arántzazu; Calonge, Amelia; López-Carrillo, María Dolores – EURASIA Journal of Mathematics, Science and Technology Education, 2022
In this study, the process of design, implementation, evaluation, and redesign of a Teaching-Learning Sequence (TLS) on simple machines for students of 9-12 years old is shown according to the principles of Design Based Research. The aim is to create a TLS that satisfactorily addresses the conceptual difficulties inherent to the object of study…
Descriptors: Teaching Methods, Learning Processes, Creativity, Self Efficacy