A co‐creation experiment for virtual laboratories of mechanics in engineering education

Craifaleanu, Andrei; Craifaleanu, Iolanda‐Gabriela

doi:10.1002/cae.22498

Cited by 5 publications

(4 citation statements)

References 59 publications

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“…In distant learning, a virtual machine can be used in some practical courses to ensure that the learning objectives are met. These machines are usually integrated into mechanical software and can be used in the classroom or online (Craifaleanu & Craifaleanu, 2022). A three-step teaching methodology for students of design and mechanical manufacturing at Nabeul's Higher Institutes of Technological Studies has been developed to enable them to carry out practical courses on coordinating measuring machines.…”

Section: Virtual Machinementioning

confidence: 99%

Enhancing Online Practical Courses in Mechanical Engineering: Development and Analysis of Innovative Methods

Gabsi,

Mathlouthi,

Ben Aissa

2023

JMEE

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This research paper introduces three innovative approaches for delivering online practical courses in the field of mechanical engineering. With the increasing popularity of eLearning platforms, educators have been encouraged to adapt their teaching methods accordingly. However, teaching practical mechanical engineering courses online has posed significant challenges due to the reliance on machinery and hands-on equipment. This study represents a pioneering effort in proposing new methods to address these difficulties. The primary goals of this research are to establish the feasibility of conducting practical courses online and to provide solutions for enhancing the quality of such courses. To achieve these objectives, the study focuses on the development, application, and analysis of pedagogical approaches, virtual tools, and simulation software. The research was carried out with three student groups enrolled in two Tunisian Higher Institutes of Technological Studies. Based on the evaluations of these experiences, the implementation of new methodologies has led to a significant improvement in students' practical skills.

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Section: Virtual Machinementioning

confidence: 99%

Enhancing Online Practical Courses in Mechanical Engineering: Development and Analysis of Innovative Methods

Gabsi,

Mathlouthi,

Ben Aissa

2023

JMEE

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“…However, as has been indicated, practical training in all the aspects involved in autonomous driving may require a significant workload in addition to expensive equipment, which is not always available. As solutions in these cases, in which classroom experimentation is complex, virtual laboratories have been used in numerous disciplines [4,32]. Technologies such as virtual reality have also been shown to be tools of great value and potential [45,46].…”

Section: Introductionmentioning

confidence: 99%

LiDAR point clouds analysis computer tools for teaching autonomous vehicles perception algorithms

Jiménez,

Clavijo

2024

Comp Applic In Engineering

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The technological developments behind autonomous vehicles cover several areas and engineers training in this field represents a challenge. The main layers include perception, decision making, and acting. In the first one, different technologies can be used. The processing of the information provided by the sensors must allow successive modules to understand the environment and Laser imaging Detection and Ranging (LiDAR) technology is one of the most promising ones nowadays for this task. It offers great robustness in detection, but the extraction of information from the point cloud involves the development of complex algorithms that could be very time‐consuming if an experimental teaching is intended. This article presents two educational solutions for deepening in perception algorithms using LiDAR for autonomous driving: a closed ad‐hoc computer application for two‐dimensional (2D) LiDAR point cloud processing and an oriented set of commands for three‐dimensional (3D) LiDARs in Matlab. Their use allows main concept exploration in practical sessions with little time consumption and provides students a general overview of the tasks that must be performed by the perception layer in the autonomous vehicles. Furthermore, these tools provide the possibility of organizing different activities in the classroom related to theoretical and experimental issues, and understanding of results because the most tedious tasks are eased.

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“…This approach emphasizes student-centered instruction, peer collaboration, and inquiry-based learning. Studies have shown that active learning techniques can lead to improved learning outcomes and higher levels of student engagement and motivation [7,11,30]. Furthermore, researchers have also explored the effectiveness of different evaluation methods in mechanics teaching.…”

Section: Introductionmentioning

confidence: 99%

Promoting higher engineering education: Three‐level progressive cultivation of mechanical thinking based on multi‐classroom integration

Xu,

Ao,

Zhu

et al. 2023

Comp Applic In Engineering

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To improve students' ability to solve complex engineering problems, cultivate their advanced mechanical thinking, and promote higher engineering education, in this paper, a reform of the teaching mode with the goal of advanced mechanical thinking cultivation and output orientation is carried out, and a three‐level theoretical mechanics teaching method based on multi‐classroom integration is proposed by adopting the concept of progressive cultivation of mechanical thinking. The meaning of three different levels of mechanics thinking, primary, intermediate, and advanced, and the implementation strategy of the three‐level progressive cultivation of mechanical thinking are clarified. An online and offline blended teaching method based on multi‐classroom integration is designed. The effectiveness of the proposed teaching method is verified by the combination of the evaluation of the examination score, the achievement of course objectives, and students' learning satisfaction. The results show that the final evaluation score in 2022 is 17.4% higher than that in 2021, and the score distribution shows a skewed distribution, with most students' scores skewing toward the excellent range, indicating that after adopting this teaching method, different students can eventually have similar excellent learning outcomes even though they start learning with different foundations and abilities. In addition, the three‐course objectives in 2022 are achieved at high degrees of 78.3, 81.5, and 81.3, respectively, which are significantly higher than those in 2021. Meanwhile, the questionnaire results show that students are satisfied with the teaching method, which fully proves that the teaching mode can achieve good teaching effectiveness.

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A co‐creation experiment for virtual laboratories of mechanics in engineering education

Cited by 5 publications

References 59 publications

Enhancing Online Practical Courses in Mechanical Engineering: Development and Analysis of Innovative Methods

Enhancing Online Practical Courses in Mechanical Engineering: Development and Analysis of Innovative Methods

LiDAR point clouds analysis computer tools for teaching autonomous vehicles perception algorithms

Promoting higher engineering education: Three‐level progressive cultivation of mechanical thinking based on multi‐classroom integration

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