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Shukla Sikder – Cultural Studies of Science Education, 2024
There are no conflicts between intentional teaching and play-based learning. However, educators find it challenging to establish the pedagogical relationship between them as they struggle to conceptualise and enact their role in the play-based context. In particular, educators' confidence level is not enough to teach science and engineering in a…
Descriptors: Early Childhood Education, Science Education, Play, Engineering Education
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Avilés-Cruz Carlos; Zúñiga-López Arturo; Benavides-Alvarez Cesar; Ferreyra-Ramírez Andrés; Aguilar-Sánchez Miriam – Discover Education, 2025
Distance learning has become a necessity and a common practice, using electronic devices and the Internet to facilitate online classes and exams. One course in undergraduate electrical engineering is the Digital Signal Processing (DSP) course, which requires exposure to theoretical concepts as well as simulations. In this paper, we propose a…
Descriptors: Engineering, Undergraduate Students, Teacher Improvement, Engineering Education
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Weng, Chunmeng; Chen, Congying; Ai, Xianfeng – International Journal of Technology and Design Education, 2023
This paper illustrates the design-based learning (DBL) approach to promoting the deep learning of students and improving the quality of teaching in engineering design education. We performed three aspects of research with students in a typical educational activity. The first study investigated students' deep learning before and after the DBL…
Descriptors: Learning Processes, Teaching Methods, Educational Quality, Design
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dos Anjos, Fernando Elemar Vicente; Rocha, Luiz Alberto Oliveira; da Silva, Débora Oliveira; Pacheco, Rodrigo; Pinheiro, Divina Márcia Borges – International Journal of Virtual and Personal Learning Environments, 2022
Cognitive approaches to teaching generate learning through the interaction between the subject and object of study. One of the strategies to create this interaction is related to the application of virtual and augmented reality in the teaching-learning processes. Through a systematic literature review, this work aims to describe the approaches…
Descriptors: Electronic Learning, Computer Simulation, Engineering Education, Literature Reviews
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Norström, Per; Hallström, Jonas – International Journal of Technology and Design Education, 2023
The common purpose of models is to provide simplified representations of other phenomena. Depending on type, they are suitable for communication, documentation, prognostication, problem solving, and more. Various types of models, such as drawings, mock-ups, flow charts, and mathematical formulae, are important tools in engineering work. An…
Descriptors: Secondary School Students, Engineering Education, Technology Education, Models
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Herianto; Jaslin Ikhsan; Lusila Andriani Purwastuti – Journal of Educational Research, 2024
Twenty-first-century skills are increasingly recognized as critical skills that today's students must develop to adapt to increasingly rapid world changes. This research aims to test the effectiveness of the STEM-EDELCY learning model to improve students' 21st-century skills. This research involved 285 junior high school students (aged 12-13) from…
Descriptors: 21st Century Skills, Skill Development, STEM Education, Engineering Education
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Oliveira, Leonam Cordeiro de; Guerino, Guilherme Corredato; Oliveira, Leander Cordeiro de; Pimentel, Andrey Ricardo – Informatics in Education, 2023
Industry 4.0 technologies are being applied in the teaching and learning process, called Education 4.0. However, there is no specification of what is being considered when developing technologies for education in the 4.0 context. Therefore, we performed a Systematic Mapping Study to investigate the information and communication technologies (ICTs)…
Descriptors: Computer Software, Teaching Methods, Learning Processes, Information Technology
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David Roldan-Alvarez; Francisco J. Mesa – IEEE Transactions on Education, 2024
Artificial intelligence (AI) in programming teaching is something that still has to be explored, since in this area assessment tools that allow grading the students work are the most common ones, but there are not many tools aimed toward providing feedback to the students in the process of creating their program. In this work a small sized…
Descriptors: Intelligent Tutoring Systems, Grading, Artificial Intelligence, Feedback (Response)
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Aitor Ruiz de la Torre Acha; Rosa María Rio Belver; Javier Fernandez Aguirrebeña; Christophe Merlo – Education & Training, 2024
Purpose: This study explores the impact of new technologies, such as simulation and virtual reality, on the pedagogy and learning of engineering students. It aims to compare the effectiveness of these digital tools against traditional teaching methods in enhancing student learning experiences. Design/methodology/approach: Utilizing a quantitative…
Descriptors: Computer Simulation, Information Technology, Engineering Education, Learning Processes
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Guimaraes, Leovani Marcial; da Silva Lima, Renato – IEEE Transactions on Education, 2023
Contribution: This article presents a novel approach that demonstrates how students' learning can be improved by increasing classroom adherence to active learning (AL) application, in a typical engineering education (EE) environment. It does that by using classroom observation protocol data and student assessment grades analyzed by a statistical…
Descriptors: Engineering Education, Teaching Methods, Active Learning, Outcomes of Education
Rana Sanyal – ProQuest LLC, 2024
Purpose. Researchers have recommended using comprehensive visual materials in engineering courses, as visuals instill more information in students than auditory information and they have the ability to engage students more effectively than other types of content and to convey the nuances of non-verbal communication. The purpose of this study was…
Descriptors: Video Technology, Technology Uses in Education, Learner Engagement, Engineering Education
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Thanh Pham; Binh Nguyen; Son Ha; Thanh Nguyen Ngoc – Australasian Journal of Educational Technology, 2023
This research explored the potential of artificial intelligence (AI)-assisted learning using ChatGPT in an engineering course at a university in South-east Asia. The study investigated the benefits and challenges that students may encounter when utilising ChatGPT-3.5 as a learning tool. This research developed an AI-assisted learning flow that…
Descriptors: Artificial Intelligence, Engineering Education, Universities, Foreign Countries
Christopher Harris; Joe Krajcik; James Pellegrino – NSTA Press, 2024
Imagine handing out assessments that spark enthusiasm rather than dread. In six easy-to-follow steps, this book empowers science teachers to create tasks that guide students to use their knowledge, not just memorize facts. The NGSA design process transforms assessments into valuable classroom tools that teachers can use to chart how students'…
Descriptors: Standards, Science Education, Teaching Methods, Teaching Guides
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Sánchez-Carracedo, Fermín; Romero-Portillo, Daniel; Sureda Carbonell, Bàrbara; Moreno-Pino, Francisco Manuel – International Journal of Sustainability in Higher Education, 2022
Purpose: This paper aims to present a methodology for analysing the extent to which students of a university degree perceive that they have received a good education for sustainable development (ESD). The methodology enables us to quantify this perception, which, in turn, allows us to determine: to what extent the objectives related to ESD are…
Descriptors: Sustainable Development, Engineering Education, Comparative Analysis, Undergraduate Students
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Rim Gouia-Zarrad; Cindy Gunn – International Electronic Journal of Mathematics Education, 2024
This research paper explores the integration of ChatGPT as a tool for interactive learning of numerical methods in a differential equations (DEs) course. DE course is crucial for engineering students to model real-world phenomena. However, many DE courses focus only on analytical solutions and neglect important numerical solutions. To overcome…
Descriptors: Learning Experience, Teaching Methods, Artificial Intelligence, Computer Software
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