Exploring Students’ Experimentation Strategies in Engineering Design Using an Educational CAD Tool

Seah, Ying Ying; Magana, Alejandra J.

doi:10.1007/s10956-018-9757-x

Cited by 10 publications

(10 citation statements)

References 30 publications

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“…The next steps include the identification of different types of systematic experiments, how they can affect student learning outcomes, and the quality of their design solutions. A follow-up study may also explore the effect of providing scaffolding to students on experimentation strategies (e.g., Seah, Vieira, Magana, & Dasgupta, 2016). The model can also be used to assess the change on experimentation strategies after instruction.…”

Section: Discussionmentioning

confidence: 99%

“…Additional research is required to capture students' rationale for their experiments and compare it to what is identified by this model. A possible approach for this future study could be using thinkaloud protocols, in which students describe their actions while working on the design challenge (Seah et al, 2016). Another limitation involves the use of aggregated data per minute.…”

Section: Limitations and Future Workmentioning

confidence: 99%

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Using Learning Analytics to Characterize Student Experimentation Strategies in the Context of Engineering Design

et al. 2016

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Engineering design is a complex process. The design process cannot be assessed based solely on a product or as a simple test because there is no single perfect design for a problem. An important design strategy is the conduction of experiments. Informed designers carry out experiments and use their outcomes to inform their next steps. On the other hand, beginning designers do little or no experiments, and the few experiments they do involve confounding variables. These behaviours that differentiate beginning and informed designers are not easy to assess in educational settings because they occur throughout the design process. This paper proposes and evaluates a model to analyze student interactions with a CAD tool in order to identify and characterize the different strategies students use to conduct experiments. A two-fold study is carried out to validate the model. The first phase uses the clickstream data of 51 middle school students working on a design project to create a net-zero energy house. The analysis of clickstream data is compared to a qualitative analysis of an open-ended posttest. The second phase correlates the number of experiments students did to the student prototype quality. The results suggest that the proposed model can be used to identify, characterize, and assess student strategies to conduct experiments.

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Section: Discussionmentioning

confidence: 99%

Section: Limitations and Future Workmentioning

confidence: 99%

Using Learning Analytics to Characterize Student Experimentation Strategies in the Context of Engineering Design

et al. 2016

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“…They are focused on a single CAD/CAE package, chosen in line with specific factors, such as design capabilities of the software package, quality of results, use in industry or research, licence cost and learning difficulty [29,30]. Recent researches considered also the possibility to employ open-source CAD/CAE software [31], though these packages (e.g. FreeCAD and OpenSCAD) have not yet reached a sufficient level to become valuable substitutes for commercial ones [32].…”

Section: Introductionmentioning

confidence: 99%

Project-based learning of advanced CAD/CAE tools in engineering education

Berselli

Bilancia

Luzi

2020

Int J Interact Des Manuf

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The use of integrated Computer Aided Design/Engineering (CAD/CAE) software capable of analyzing mechanical devices in a single parametric environment is becoming an industrial standard. Potential advantages over traditional enduring multi-software design routines can be outlined into time/cost reduction and easier modeling procedures. To meet industrial requirements, the engineering education is constantly revising the courses programs to include the training of modern advanced virtual prototyping technologies. Within this scenario, the present work describes the CAD/CAE project-based learning (PjBL) activity developed at the University of Genova as a part of course named Design of Automatic Machines, taught at the second level degree in mechanical engineering. The PjBL activity provides a detailed overview of an integrated design environment (i.e. PTC Creo). The students, divided into small work groups, interactively gain experience with the tool via the solution of an industrial design problem, provided by an engineer from industry. The considered case study consists of an automatic pushing device implemented in a commercial machine. Starting from a sub-optimal solution, the students, supervised by the lecturers, solve a series of sequential design steps involving both motion and structural analysis. The paper describes each design phase and summarizes the numerical outputs. At last, the results of the PjBL activity are presented and commented by considering the opinions of all the parties involved.

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“…The changes also impact the training of engineering students. There are new paradigms regarding the training of engineers in the twenty-first century (Seah & Magana, 2019;Ramaswamy et al, 2001).…”

Section: Industrial Engineeringmentioning

confidence: 99%

A bibliometric research of Industry 4.0 opportunities in Industrial Engineering

Costa

HernÃ¡ndez

et al. 2021

Br. J. Ed., Tech. Soc.

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Transformations from the traditional industry model to the Industry 4.0 model presents great challenges for Industrial Engineering professionals and students. Consequently, it becomes necessary to adapt already consolidated concepts in the academic and professional environment to meet the peculiarities and needs of this new business model. To understand these challenges of the fourth industrial revolution for those professionals, it was performed a bibliometric research to comprehend the publicationâ€™s profile involving the main concepts of Industry 4.0 and Industrial Engineering topics. This research consists of the analysis and interpretation of Scopus and Web of Science databases from January 2012 to November 2019. The results found indicate significant growth of scientific articles covering Industry 4.0 concepts applied in Industrial Engineering fields, as well as the distribution of publications by branch. The main contribution of this research article is to present the applicability of Industry 4.0 concepts in Industrial Engineering branches, plus the trends and opportunities for future research.

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Exploring Students’ Experimentation Strategies in Engineering Design Using an Educational CAD Tool

Cited by 10 publications

References 30 publications

Using Learning Analytics to Characterize Student Experimentation Strategies in the Context of Engineering Design

Using Learning Analytics to Characterize Student Experimentation Strategies in the Context of Engineering Design

Project-based learning of advanced CAD/CAE tools in engineering education

A bibliometric research of Industry 4.0 opportunities in Industrial Engineering

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