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Li Tan; Siqing Wei; Xingchen Xu; Jason Morphew – European Journal of Engineering Education, 2025
Despite the availability and potential usefulness of demographic and contextual data in many quantitative studies within engineering education, the preference for ANOVA over regression models remains prevalent, often without clear justification. A mapping review of literature from the EJEE and JEE spanning 2012-2022 identified 98 studies using…
Descriptors: Regression (Statistics), Statistical Analysis, Educational Benefits, Research Methodology
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Aud M. Wahl; Marte Fanneløb Giskeødegård; Charlott Sellberg – International Journal of Training and Development, 2025
The aim of this explorative comparative study is to explore how bachelor students are socialized into the instructional method of role-playing in simulation-based professional education programmes. Despite the widespread use of role-play in professional education programmes, there are a limited number of studies on the topic, even though the…
Descriptors: Nursing Students, Nursing Education, Engineering Education, Marine Education
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Mohan Honnagudi Gururaj; Nandish Malleshappa; Sankhya Nagesh Nayak; Devaraj Fakkirappa Vadenapur; Benak Patel Medugondanahalli Puradaswamy – Education and Information Technologies, 2024
A Study with undergraduate engineering students was conducted in order to evaluate whether cognitive and comprehending ability can be improved by incorporating the tool based learning. The simulator tools and virtual labs were used to represent tool based learning. The study was conducted on three different years of students. In the first stage…
Descriptors: Undergraduate Students, Engineering Education, Evaluation, Comprehension
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Magana, Alejandra J.; Vieira, Camilo; Fennell, Hayden W.; Roy, Anindya; Falk, Michael L. – Cognition and Instruction, 2020
Modeling is an important element of discovery and design processes because it can help individuals to comprehend and facilitate solutions to problems, mediate among mental and external representations, and off-load cognitive demands. However, engaging in model generation, comprehension, and transformation requires the orchestration of domain…
Descriptors: Undergraduate Students, Problem Solving, Barriers, Simulation
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May, Dominik; Morkos, Beshoy; Jackson, Andrew; Hunsu, Nathaniel J.; Ingalls, Amy; Beyette, Fred – European Journal of Engineering Education, 2023
The COVID-19 pandemic forced universities to suspend face-to-face instruction, prompting a rapid transition to online education. As many lab courses transitioned online, this provided a rare window of opportunity to learn about the challenges and affordances that the online lab experiences created for students and instructors. We present results…
Descriptors: Engineering Education, Laboratory Experiments, Teaching Methods, Comparative Analysis
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Weng, Cathy; Puspitasari, Dani; Tran, Khanh Nguyen Phuong; Feng, Pei Jie; Awuor, Nicholas O.; Matere, Isaac Manyonge – Interactive Learning Environments, 2023
The purpose of this study was to investigate the effect of augmented reality (AR) using a 3D app in a smartphone on students' learning outcomes and satisfaction in teaching angle measurement error to vocational high school students with different spatial ability. A quasi-experimental pretest/posttest was employed. There were 197 students from…
Descriptors: Teaching Methods, Error of Measurement, Multimedia Instruction, Learning Processes
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Fang, Ning; Guo, Yongqing – Journal of Educational Computing Research, 2023
Computer simulation and animation (CSA) is educational technology in which computer programs are employed to simulate and animate real-world physical phenomena and processes. CSA has attracted growing attention and received an increasing number of applications in the international science, technology, engineering, and mathematics education…
Descriptors: Educational Improvement, Learning Processes, Educational Technology, Computer Software
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Bhagwat, Kishor; Kumar, Prem; Delhi, Venkata Santosh Kumar – Journal of Civil Engineering Education, 2021
Safety training and assessment programs play a key role in inducing safe behavior on construction sites. The traditional training methods are fraught with limitations. The advent of visualization technologies such as building information modeling (BIM) and virtual reality (VR) lay a great promise in imbuing vigor in the training and assessment…
Descriptors: Usability, Visualization, Safety, Computer Simulation
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Dutta, Rubina; Mantri, Archana; Singh, Gurjinder – Smart Learning Environments, 2022
The education system evolves and transforms towards interactive and immersive learning tools in this digital age. Augmented reality has also evolved as a ubiquitous, robust, and effective technology for providing innovative educational tools. In engineering education, many abstract concepts require technological intervention for conceptual…
Descriptors: Usability, Computer Simulation, Engineering Education, Intervention
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Morelock, John R.; Salado, Alejandro; Lakeh, Arash Baghaei; Richards, Trevor K. – Advances in Engineering Education, 2021
In undergraduate engineering education, students are often overexposed to problem-solving methods that are unrepresentative of how engineers solve problems in practice. For decision-making problems, in particular, students are commonly taught to compare alternative solutions using known and provided information. However, many real-world…
Descriptors: Engineering Education, Teaching Methods, Educational Games, Simulation
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Nikolic, Sasha; Ros, Montserrat; Jovanovic, Kosta; Stanisavljevic, Zarko – European Journal of Engineering Education, 2021
The laboratory is an integral component of engineering education, resulting in a multitude of studies. Generally, the research focus is on the laboratory innovation, rather than learning itself. It is observed that empirical evidence is strongly built around student perceptions of their learning or experience via survey instruments; and in some…
Descriptors: Engineering Education, Distance Education, Teaching Methods, Student Attitudes
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Fratamico, Lauren; Conati, Cristina; Kardan, Samad; Roll, Ido – International Journal of Artificial Intelligence in Education, 2017
Interactive simulations can facilitate inquiry learning. However, similarly to other Exploratory Learning Environments, students may not always learn effectively in these unstructured environments. Thus, providing adaptive support has great potential to help improve student learning with these rich activities. Providing adaptive support requires a…
Descriptors: Computer Simulation, Models, Educational Environment, Comparative Analysis
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Magana, Alejandra J.; Chiu, Jennifer; Ying Seah, Ying; Bywater, James P.; Schimpf, Corey; Karabiyik, Tugba; Rebello, Sanjay; Xie, Charles – International Journal of Science Education, 2021
This multiple case study focused on the implementation of a computer-aided design (CAD) simulation to help students engage in engineering design to learn science concepts. Our findings describe three case studies that adopted the same learning design and adapted it to three different populations, settings, and classroom contexts: at the…
Descriptors: Case Studies, Computer Simulation, Engineering Education, Design
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Rus, Vasile; Gautam, Dipesh; Swiecki, Zachari; Shaffer, David W.; Graesser, Arthur C. – International Educational Data Mining Society, 2016
Engineering virtual internships are simulations where students role play as interns at fictional companies, working to create engineering designs. To improve the scalability of these virtual internships, a reliable automated assessment system for tasks submitted by students is necessary. Therefore, we propose a machine learning approach to…
Descriptors: Engineering Education, Internship Programs, Computer Simulation, Models
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Battaglia, Onofrio Rosario; Di Paola, Benedetto; Persano Adorno, Dominique; Pizzolato, Nicola; Fazio, Claudio – Research in Science Education, 2019
Two 20-h modelling-based workshops focused on the explanation of thermally activated phenomena were held at the University of Palermo, Italy, during the Academic Year 2014-2015. One of them was conducted by applying an inquiry-based approach, while the other, still based on laboratory and modelling activities, was not focused on inquiry.…
Descriptors: Workshops, Engineering Education, Chemical Engineering, Undergraduate Students
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