Mechanix: A natural sketch interface tool for teaching truss analysis and free-body diagrams

Author(s):  
Olufunmilola Atilola ◽  
Stephanie Valentine ◽  
Hong-Hoe Kim ◽  
David Turner ◽  
Erin McTigue ◽  
...  

AbstractMassive open online courses, online tutoring systems, and other computer homework systems are rapidly changing engineering education by providing increased student feedback and capitalizing upon online systems' scalability. While online homework systems provide great benefits, a growing concern among engineering educators is that students are losing both the critical art of sketching and the ability to take a real system and reduce it to an accurate but simplified free-body diagram (FBD). For example, some online systems allow the drag and drop of forces onto FBDs, but they do not allow the user to sketch the FBDs, which is a vital part of the learning process. In this paper, we discuss Mechanix, a sketch recognition tool that provides an efficient means for engineering students to learn how to draw truss FBDs and solve truss problems. The system allows students to sketch FBDs into a tablet computer or by using a mouse and a standard computer monitor. Using artificial intelligence, Mechanix can determine not only the component shapes and features of the diagram but also the relationships between those shapes and features. Because Mechanix is domain specific, it can use those relationships to determine not only whether a student's work is correct but also why it is incorrect. Mechanix is then able to provide immediate, constructive feedback to students without providing final answers. Within this manuscript, we document the inner workings of Mechanix, including the artificial intelligence behind the scenes, and present studies of the effects on student learning. The evaluations have shown that Mechanix is as effective as paper-and-pencil-based homework for teaching method of joints truss analysis; focus groups with students who used the program have revealed that they believe Mechanix enhances their learning and that they are highly engaged while using it.

2003 ◽  
Vol 31 (2) ◽  
pp. 101-107 ◽  
Author(s):  
Murat Sönmez

Many textbooks on mechanics for engineering students and engineers consider the concepts of rolling resistance and axle friction separately, expecting readers to combine the given analysis for each of them in determining, for instance, the magnitude of the force needed to move a railroad car. However, this requires a thorough free-body diagram analysis and, since examples are not typically included in the textbooks, students may have difficulty solving such problems. This study represents the solution of the problem in terms of both the dry axle friction and the rolling resistance. It is also suggested as a good synthesis problem that may be considered in teaching the effect of dry friction to engineering students.


2020 ◽  
pp. 1-11
Author(s):  
Guo Yunfeng ◽  
Li Jing

In order to improve the effect of the teaching method evaluation model, based on the grid model, this paper constructs an artificial intelligence model based on the grid model. Moreover, this paper proposes a hexahedral grid structure simplification method based on weighted sorting, which comprehensively sorts the elimination order of candidate base complexes in the grid with three sets of sorting items of width, deformation and price improvement. At the same time, for the elimination order of basic complex strings, this paper also proposes a corresponding priority sorting algorithm. In addition, this paper proposes a smoothing regularization method based on the local parameterization method of the improved SLIM algorithm, which uses the regularized unit as the reference unit in the local mapping in the SLIM algorithm. Furthermore, this paper proposes an adaptive refinement method that maintains the uniformity of the grid and reduces the surface error, which can better slow down the occurrence of geometric constraints caused by insufficient number of elements in the process of grid simplification. Finally, this paper designs experiments to study the performance of the model. The research results show that the model constructed in this paper is effective.


AI and Ethics ◽  
2021 ◽  
Author(s):  
Muhammad Ali Chaudhry ◽  
Emre Kazim

AbstractIn the past few decades, technology has completely transformed the world around us. Indeed, experts believe that the next big digital transformation in how we live, communicate, work, trade and learn will be driven by Artificial Intelligence (AI) [83]. This paper presents a high-level industrial and academic overview of AI in Education (AIEd). It presents the focus of latest research in AIEd on reducing teachers’ workload, contextualized learning for students, revolutionizing assessments and developments in intelligent tutoring systems. It also discusses the ethical dimension of AIEd and the potential impact of the Covid-19 pandemic on the future of AIEd’s research and practice. The intended readership of this article is policy makers and institutional leaders who are looking for an introductory state of play in AIEd.


2014 ◽  
Author(s):  
Natalia Stathakarou ◽  
Nabil Zary ◽  
Andrzej A. Kononowicz

Background: Massive Open Online Courses (MOOCs) are an emerging method of online teaching. However in the field of healthcare education their technology is not adopted yet. Reaching beyond the xMOOC type of courses in order to foster interactivity in the healthcare education requires domain specific software. Virtual Patients (VPs) have been integrated in the past with Virtual Learning Environments (VLEs) but extending MOOCs with VPs has not yet been discussed. Objective: To investigate the technical possibilities of integrating VPs with MOOCs for the purpose of discovering a pragmatic basis were the potential pedagogical benefits can be later studied. Methods: We selected OpenEdx and Open Labyrinth as examples of a MOOC platform and of a VP system. We conducted a literature review to identify technical requirements and e-learning standards apt for the integration. One fundamental requirement was prototyped and verified by use cases. Results: A Single–Sign on mechanism connecting Open Labyrinth with OpenEdx, employing the IMS LTI standard, has been successfully implemented and verified. Conclusion: We investigated the technical perspective of integrating VPs in MOOCs, aiming to set a base for future investigation on the topic. The results point out new opportunities arising from the infrastructure of MOOCs for integrating specialized software aiming to support the healthcare education.


2018 ◽  
Vol 6 (2) ◽  
pp. 274-284
Author(s):  
MARIA GUADALUPE LOPEZ MOLINA ◽  
GABRIEL ATRISTAIN SUAREZ

An educational case implementing a SMED (Single Minute Exchange of Dies) teaching method with results that measure the participating student’s perception is reported. This method significantly reduces training time and increases knowledge retention as a result of an improvement aimed at shortening the learning cycle of industrial engineering students learning about lean manufacturing tools. This study was conducted with a hundred students who are the population of industrial engineering in a small college.


2017 ◽  
Vol 139 (12) ◽  
pp. S21-S23
Author(s):  
Ross Mckenzie ◽  
John Mcphee

This article presents an overview of the research and educational programs for connected and autonomous vehicles at the University of Waterloo (UWaterloo). UWaterloo is Canada’s largest engineering school, with 9,500 engineering students and 309 engineering faculty. The University of Waterloo Centre for Automotive Research (WatCAR) for faculty, staff and students is contributing to the development of in-vehicle systems education programs for connected and autonomous vehicles (CAVs) at Waterloo. Over 130 Waterloo faculty, 110 from engineering, are engaged in WatCAR’s automotive and transportation systems research programs. The school’s CAV efforts leverage WatCAR research expertise from five areas: (1) Connected and Autonomous; (2) Software and Data; (3) Lightweighting and Fabrication; (4) Structure and Safety; and (5) Advanced Powertrain and Emissions. Foundational and operational artificial intelligence expertise from the University of Waterloo Artificial Intelligence Institute complements the autonomous driving efforts, in disciplines that include neural networks, pattern analysis and machine learning.


Author(s):  
Hyeon Woo Nam

Due to the advancement of advanced technologies such as artificial intelligence, robots, autonomous vehicles, healthcare, virtual reality, augmented reality, etc. and the popularization of smartphones, it stimulates customer interest and leads voluntary participation in order to maximize interactive communication in all industries The gamification strategy incorporating games began to emerge. A representative field that generates results by easily introducing such a gamification strategy is the education industry that seeks to improve the educational effect by utilizing the elements of corporate marketing strategies and games such as challenge, competition, achievement, and reward. Recently, gamification research is being conducted to effectively apply AI and big data, the core technologies of the 4th industrial revolution in all industries. Gamification is actively forming markets in Europe and the US, and it can increase customer loyalty and productivity by applying various roles applied to games in other industries as well as serious games. The purpose of this study is to design and implement a gamification service platform based on artificial intelligence technology and operate the implemented system to expand the area where the gamification service applied to the existing marketing and consulting fields can be used. The designed gamification service platform can be applied to education services that increase learning efficiency by analyzing the predicted learning attitudes of trainees, and through successful research cases, it will be able to provide immersion effect to trainees and teaching method research to educators.


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