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Lockwood, Elise – Cognition and Instruction, 2022
In this paper, I discuss undergraduate students' engagement in basic Python programming while solving combinatorial problems. Students solved tasks that were designed to involve programming, and they were encouraged to engage in activities of prediction and reflection. I provide data from two paired teaching experiments, and I outline how the task…
Descriptors: Undergraduate Students, Thinking Skills, Prediction, Teaching Methods
Kasimatis, Katerina; Moutsios-Rentzos, Andreas; Rozou, Varvara; Matzakos, Nikolaos – Acta Didactica Napocensia, 2018
In this quantitative study, we investigate the relationship between the conceptions of first-year Engineering Education students about the role of mathematics in their studies and career, as well as the links of their conceptions with their approaches to study. The data analysis revealed that the students view mathematics as being about…
Descriptors: Preservice Teachers, Student Attitudes, Engineering Education, Role
Pembridge, James J.; Paretti, Marie C. – Journal of Engineering Education, 2019
Background: Capstone design courses represent a critical juncture in students' development at the transition from school to work. However, few studies have systematically explored teaching in this context, leaving a significant gap in our ability to concretely describe faculty practices in ways that support subsequent explorations of the…
Descriptors: Capstone Experiences, Design, Teaching Skills, Teaching Methods
Lewis, Fay; Edmonds, Juliet; Fogg-Rogers, Laura – Primary Science, 2019
Engineers are vital to the way we live, our everyday experiences and activities, but despite this engineering receives little focus in the primary classroom. Interest in STEM (science, technology, engineering and mathematics) wanes as children reach the end of primary school. However, providing positive experiences can keep the doors open for…
Descriptors: STEM Education, Engineering, Elementary School Science, Design
Robledo-Rella, Victor; Neri, Luis; González-Nucamendi, Andrés; Noguez, Julieta – International Association for Development of the Information Society, 2019
In this paper we present the results derived from a project aimed to study the "learning gains" obtained by undergrad engineering students that used two mobile learning resources (in video format). We conducted our study over a 6-year time interval applying "pre-test" and "post-test" instruments to both experimental…
Descriptors: Undergraduate Students, Engineering Education, Telecommunications, Handheld Devices
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
Joshua Osondu; Emmanuel Jean Francois; Jesse Strycker – Journal of Global Education and Research, 2024
This paper offers a literature synthesis on the role of artificial intelligence (AI) as a strategic policy instrument in tackling the challenges of Teaching and Learning (TL) within the Ghanaian educational context. By examining the current state and prospects of AI in education (AIEd), specifically in Ghana, this study highlights how AI can…
Descriptors: Artificial Intelligence, Educational Policy, Foreign Countries, Barriers
M. Huerta-Gomez-Merodio; M. A. Fernández-Ruiz; M. V. Requena-Garcia-Cruz – European Journal of Education, 2024
Research on improving engineering skills in students advocates for high-quality teaching practices as well as the implementation of digitally enhanced management systems, such as e-Learning. Furthermore, COVID-19 led to several changes in education, such as switching drastically from face to face to emergency remote and later hybrid teaching. This…
Descriptors: Electronic Learning, Blended Learning, Engineering Education, Skill Development
Taylor, Christine; Lee, Jean S. – Mathematics Teacher: Learning and Teaching PK-12, 2021
We implemented a STEM task that highlights the engineering cycle and engages students in productive struggle. Students problem solved in productive ways and saw tangible benefits of revising their work to achieve mathematical goals.
Descriptors: STEM Education, Task Analysis, Teaching Methods, Engineering Education
Frank, Daniel Z.; Douglas, Elliot P.; Williams, Darryl N.; Crane, Carl D. – Journal of Engineering Education, 2021
Background: Recently there has been considerable interest in making as a means to promote interest in engineering careers. Leveraging making practices that already exist in communities could provide a way to address the severe underrepresentation of minority groups, such as Native Americans, in engineering. Before any programs or curricula can be…
Descriptors: Engineering Education, American Indian Students, Culturally Relevant Education, Navajo (Nation)
Hughes, Andrew J.; Denson, Cameron D. – Journal of Technology Education, 2021
Highly proficient expert engineers begin the iterative process of design by thoroughly investigating the design problem. Engineering students are often distracted by surface details, leading to a faulty conception of the problem and inappropriate solution strategies. Adequate problem-scoping is arguably the most important step in the design…
Descriptors: Scaffolding (Teaching Technique), Middle School Students, High School Students, Design
Precup, Radu-Emil; Hedrea, Elena-Lorena; Roman, Raul-Cristian; Petriu, Emil M.; Szedlak-Stinean, Alexandra-Iulia; Bojan-Dragos, Claudia-Adina – IEEE Transactions on Education, 2021
This article proposes an approach based on experiments to teach optimization technique (OT) courses in the Systems Engineering curricula at undergraduate level. Artificial intelligence techniques in terms of nature-inspired optimization algorithms and neural networks are inserted in the lecture and laboratory parts of the syllabus. The experiments…
Descriptors: Engineering Education, Teaching Methods, Systems Approach, Undergraduate Students
Zakaria, Fathiah; Che Kar, Siti Aishah; Abdullah, Rina; Ismail, Syila Izawana; Md Enzai, Nur Idawati – Asian Journal of University Education, 2021
This paper presents a study of correlation between subjects of Diploma in Electrical Engineering (Electronics/Power) at Universiti Teknologi MARA(UiTM) Cawangan Terengganu using Artificial Neural Network (ANN). The analysis was done to see the effect of mathematical subjects (Pre-calculus and Calculus 1) and core subject (Electric Circuit 1) on…
Descriptors: Correlation, Teaching Methods, Artificial Intelligence, Universities
Portela, Carlos dos Santos; Vasconcelos, Alexandre Marcos Lins de; Oliveira, Sandro Ronaldo Bezerra; Souza, Mauricio Ronny de Almeida – Informatics in Education, 2021
The software industry is not satisfied with the preparation level of newly graduated professionals in Computing undergraduate courses. There is a predominance of traditional approaches to the Software Engineering (SE) teaching which proved to be inefficient, because they focus on the content from the professor's viewpoint. This research aims to…
Descriptors: Teaching Methods, Computer Science Education, Computer Software, Engineering Education
Lottero-Perdue, Pamela S.; Settlage, John – Journal of Pre-College Engineering Education Research, 2021
The broad case being made in this paper is that recognizing student assets--rather than focusing on deficits--is essential for making engineering education more equitable. The paper begins with our exploration of an epistemic practice of engineering, ''making tradeoffs,'' as enacted by kindergartners after experiencing design failure and during…
Descriptors: Engineering Education, Empathy, Equal Education, Epistemology

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