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Dray, Kate E.; Dreyer, Kathleen S.; Lucks, Julius B.; Leonard, Joshua N. – Chemical Engineering Education, 2023
We present an educational unit to teach computational modeling, a vital part of chemical engineering curricula, through the lens of synthetic biology. Lectures, code, and homework questions provide conceptual and practical introductions to each computational method involved in the model development process, along with perspectives on how methods…
Descriptors: Engineering Education, Chemical Engineering, Teaching Methods, Units of Study
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Attasit Wiangkham; Rattawut Vongvit – Education and Information Technologies, 2024
The rapid development of metaverse technology provides countless opportunities for social interaction, collaboration, communication, and knowledge-sharing that will significantly impact human life. To ensure widespread adoption and acceptance, however, issues concerning approval, accessibility, privacy, and user behavior must be resolved.…
Descriptors: Technology Integration, Computer Simulation, Engineering Education, Models
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Yuan Bo Xue; Ooi Boon Keat – Journal of Pedagogical Research, 2025
This study investigates the direct effects of theoretical teaching methods, practical teaching methods and school-enterprise cooperations on engineering innovation ability among higher vocational education students in Henan, China. Using the Triple Helix Model as a framework, the research examines the dynamic collaboration between academia,…
Descriptors: Models, School Business Relationship, Teaching Methods, Engineering Education
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Agustín Vázquez-Sánchez; Francisco Delgado – European Journal of Engineering Education, 2025
The concept of a free body diagram is central to Mechanical Engineering. Beyond its correct layout, a series of analysis concepts in the development of this skill allows one to visualise, understand, and analyse mechanisms and other complex applications. The correct assessment of the skill goes beyond the simple application of a test because it is…
Descriptors: Foreign Countries, Competence, Evaluation Methods, Engineering Education
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Seth, Arjit; Redonnet, Stephane; Liem, Rhea P. – IEEE Transactions on Education, 2023
Contribution: A multidisciplinary computational framework to support undergraduate engineering education is introduced. It is posed as an open-source tool that students can use to understand and apply computational methods commonly required in engineering problems. Background: This framework development is motivated by past experiences of teaching…
Descriptors: Engineering Education, Undergraduate Students, Aerospace Education, Teaching Methods
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Stephanie Fuchs; Alexandra Werth; Cristóbal Méndez; Jonathan Butcher – Journal of Engineering Education, 2025
Background: High-quality feedback is crucial for academic success, driving student motivation and engagement while research explores effective delivery and student interactions. Advances in artificial intelligence (AI), particularly natural language processing (NLP), offer innovative methods for analyzing complex qualitative data such as feedback…
Descriptors: Artificial Intelligence, Training, Data Analysis, Natural Language Processing
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Asaad Almssad; Amjad Almusaed; Ghaniyah Yasir Gbashi – International Society for Technology, Education, and Science, 2024
This article elucidates a nuanced methodology to embed the Sustainable Development Goals (SDGs) within engineering curricula, grounded in the tenets of the CDIO Standard 3 framework. Given the heightened emphasis on sustainability within contemporary industrial contexts, there is an imperative demand for engineers endowed with sophisticated…
Descriptors: Engineering Education, Sustainable Development, Objectives, Teaching Methods
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Divasón, Jose; Martinez-de-Pison, Francisco Javier; Romero, Ana; Saenz-de-Cabezon, Eduardo – IEEE Transactions on Learning Technologies, 2023
The evaluation of student projects is a difficult task, especially when they involve both a technical and a creative component. We propose an artificial intelligence (AI)-based methodology to help in the evaluation of complex projects in engineering and computer science courses. This methodology is intended to evaluate the assessment process…
Descriptors: Student Projects, Student Evaluation, Artificial Intelligence, Models
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Sotelino, Elisa D.; Natividade, Veronica; Travassos do Carmo, Cristiano Saad – Journal of Civil Engineering Education, 2020
This paper reports a 6-year experience teaching building information modeling (BIM) methodology in the undergraduate/graduate architecture, engineering, and construction (AEC) program at the Pontificia Universidade Catolica do Rio de Janeiro (PUC-Rio), Brazil. This work is part of the long-term goal of developing a new BIM AEC-based curriculum…
Descriptors: Buildings, Models, Engineering Education, Architecture
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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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Deepti Prit Kaur; Archana Mantri – Education and Information Technologies, 2024
Student perception is an essential component in education; especially in engineering courses, which involve complex spatial processes, manipulation and interpretation of graphs, diagrams, and concepts. Incorporation of special training instructions improve spatial skills of learners, assisting them to acquire enhanced conceptual knowledge. Through…
Descriptors: Computer Simulation, Interaction, Visual Aids, Engineering Education
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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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Zikai Zhou; Sharon Rouse – Online Learning, 2024
Student satisfaction is a key performance indicator in evaluating any degree program's performance. In light of the vast difference between online and traditional degree programs, factors that may significantly affect student satisfaction and thus contribute to the success of online degree programs still need to be explored. Previous literature on…
Descriptors: Models, Evaluation Methods, Online Courses, Student Satisfaction
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Nelson, Robin; Marone, Vittorio; Garcia, Stephanie A.; Yuen, Timothy T.; Bonner, Emily P.; Browning, JoAnn – IEEE Transactions on Education, 2021
Contribution: This study extends the embedded expert literature by examining a cross-college partnership between engineering and education faculty and its impact on the engineering faculty's teaching practices. Background: Previous embedded expert models focused on disciplinary expert models that required extensive educational training to prepare…
Descriptors: Educational Change, Engineering Education, Models, Intercollegiate Cooperation
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Batrouny, Nicole; Wendell, Kristen; Andrews, Chelsea; Dalvi, Tejaswini – Science and Children, 2021
The engineering design process (EDP) can be a wonderful tool to nurture creative problem-solving abilities, prepare students to tackle problems with intentional planning, and encourage learning from failures. Many lesson plans and instructional strategies are guided by the EDP (Hill Cunningham, Mott, and Hunt 2018). In this article, the authors…
Descriptors: Design, Science Education, Engineering Education, Teaching Methods
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