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Marbouti, Farshid; Rodgers, Kelsey J.; Thompson, Angela K.; Verleger, Matthew; Hawkins, Nicholas – IEEE Transactions on Education, 2023
Contribution: This study assesses more than 800 students' awareness of engineering model types before and after taking two first-year engineering courses across two semesters and evaluates the effect of each course. Background: All engineers must be able to apply and create models to be effective problem solvers, critical thinkers, and innovative…
Descriptors: Engineering Education, College Students, Models, Knowledge Level
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Zhang, Wei; Wang, Yu; Wang, Suyu – Education and Information Technologies, 2022
Educational data mining (DEM) provides valuable educational information by applying data mining tools and techniques to analyze data at educational institutions. In this paper, tree-based machine learning algorithms are used to predict students' overall academic performance in their bachelor's program. The transcript data of the students in the…
Descriptors: Grade Prediction, Academic Achievement, Models, Artificial Intelligence
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Venkatasubramanian, Venkat – Chemical Engineering Education, 2022
The motivation, philosophy, and organization of a course on artificial intelligence in chemical engineering is presented. The purpose is to teach undergraduate and graduate students how to build AI-based models that incorporate a first principles-based understanding of our products, processes, and systems. This is achieved by combining…
Descriptors: Artificial Intelligence, Chemical Engineering, College Students, Teaching Methods
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Linda Oktaviani; Ullu Yandi Aulia; Mukhamad Murdiono; Suharno Suharno – Journal of Education and Learning (EduLearn), 2024
This study aims to provide a comprehensive analysis of the implementation of Pancasila learning with the goal of improving critical thinking skills through the application of the six thinking hats model. The research adopts a descriptive approach utilizing qualitative methods. The study was conducted at the Faculty of Engineering, Universitas…
Descriptors: Critical Thinking, Thinking Skills, Skill Development, Active Learning
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Strehl, Elizabeth A.; Loweth, Robert P.; Daly, Shanna R. – Advances in Engineering Education, 2022
Design interviews with stakeholders are an important source of information that engineering designers can use to identify stakeholder needs and develop solutions that meet stakeholder requirements. However, engineering students often struggle to conduct effective design interviews. In this study, we investigated changes in engineering students'…
Descriptors: Blended Learning, Engineering Education, Design, Models
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Anchalee Sangarwut; Meena Polsuwan – Higher Education Studies, 2025
The purposes of the current study were to examine the 5C social engineering model-based training program on Surat Thani Rajabhat University students and Khun Thale Subdistrict residents' problem solving and adaptability and to examine the participants' satisfaction learning with the 5C social engineering model-based training program. A training…
Descriptors: Foreign Countries, Curriculum Development, Engineering Education, Competency Based Education
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Gardner, Anne; Willey, Keith – Studies in Higher Education, 2018
The field of research (FoR) that an academic participates in is both a manifestation of, and a contributor to the development of their identity. When an academic changes that FoR the question then arises as to how they reconcile this change with their identity. This paper uses the identity-trajectory framework to analyse the discourse of 19…
Descriptors: Engineering Education, Foreign Countries, Semi Structured Interviews, Models
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Catalina Ramírez-Aristizábal; Renato de Oliveira Moraes – Education and Information Technologies, 2024
Learning Management Systems (LMS) have gained importance in the last few years; however, the emergence of COVID-19 disease made these systems indispensable for educational systems. In the post-pandemic scenario and blended learning contexts, this kind of information system is also becoming more critical as a support system. Therefore, this…
Descriptors: Learning Management Systems, Success, COVID-19, Pandemics
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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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Turner, Ken L., Jr.; Hoffman, Adam R. – Journal of College Science Teaching, 2018
Engineering design is an ideal perspective for engaging students in college science classes. An engineering design problem-solving framework was used to create a general chemistry lab activity focused on an important environmental issue--dead zones. Dead zones impact over 400 locations around the world and are a result of nutrient pollution, one…
Descriptors: Science Instruction, College Science, Engineering, Design
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Pino-Fan, Luis R.; Font, Vicenç; Gordillo, Wilson; Larios, Víctor; Breda, Adriana – International Journal of Science and Mathematics Education, 2018
In this article, we present the results of the administration of a questionnaire designed to evaluate the understanding that civil engineering students have of the "antiderivative." The questionnaire was simultaneously administered to samples of Mexican and Colombian students. For the analysis of the answers, we used some theoretical and…
Descriptors: Engineering Education, Civil Engineering, College Students, Comparative Analysis
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Pérez, M.; Ayerdi, V.; Arroyo, Z. – Universal Journal of Educational Research, 2018
Eight mechanical engineering students built three didactic models that show how different mechanical elements and mechanisms work in a pick-up truck. This study reviews their experience while manufacturing them, challenges faced and their learning experience. The project was directed by students entirely which posed planning, organizing,…
Descriptors: Learner Engagement, Academic Achievement, Models, Engineering
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Carranza Rogerio, Brenda; Yan, Yu; Cooper, Eric Wallace – International Journal of Technology in Education, 2023
The growing integration of technology into education, particularly in the STEM fields, has tended to focus on its objective advantages, ignoring its affective potential. To explore this potential, based on some principles of "Kansei/Affective Engineering," an initial analysis was conducted considering 501 interventions in a conversation…
Descriptors: Affective Behavior, Feedback (Response), STEM Education, Electronic Learning
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Dodson, Kirsten Heikkinen; Baugh, Daniela; Roland, Avery; Edmonds, Sara; York, Hannah Pinson – Advances in Engineering Education, 2022
At the Peugeot Center for Engineering Service in Developing Communities at Lipscomb University, seventeen years of experience have provided the foundation for a program that creates lasting impact. In comparison to other service learning or humanitarian engineering programs, the Peugeot Center is unique in that it achieves substantial impact on…
Descriptors: Foreign Countries, Engineering Education, Developing Nations, Service Learning
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Kang, Sung Pil; Chen, Yan; Svihla, Vanessa; Gallup, Amber; Ferris, Kristen; Datye, Abhaya K. – Studies in Higher Education, 2022
While university change initiatives have become more common in the face of changing learner needs and higher education funding, many fail to produce desired effects, even when guided by organizational change models. The purpose of this study was to document a successful change process in an engineering department at a Hispanic-serving institution…
Descriptors: Educational Change, Models, Change Strategies, Higher Education
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