Developing students’ mathematical and computational knowledge to investigate mooring line in ocean engineering

Zhou, Xi‐Lang; Wang, Jianhua; Zhang, Lulu; Zhang, Jun

doi:10.1002/cae.21883

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…For example, Liu and Jin describe how integrating CAD and related technologies into digital manufacturing that enabled students to design and test aircraft designs course resulted in enhanced student interest and learning in aircraft manufacturing topics [34]. Other affordances for learning include being able to visualize dynamic or nonobservable phenomena [4] or mathematical relationships [59].…”

Section: Introductionmentioning

confidence: 99%

Exploring experienced designers' strategies in a CAD learning environment

McAlister

Bywater

Chiu

2021

Comput Appl Eng Educ

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Computer‐aided design (CAD) simulation environments offer opportunities for students to evaluate, redesign, and visualize engineering design solutions quickly and get feedback. However, the use of CAD simulation tools in precollege settings is relatively rare. This study explores design strategies used by experienced designers in Energy3D, a CAD simulation environment designed for learning settings, to provide insight into supporting students' use of CAD simulation environments in precollege settings. Five designers engaged in a think‐aloud of a design challenge used with precollege students. Video and log data were collected and analyzed. Emergent themes that emerged across designers included problem definition, problem decomposition, and systematic but not tightly controlled exploration. We discuss the implications for designing instruction with CAD simulations in precollege settings.

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Section: Introductionmentioning

confidence: 99%

Exploring experienced designers' strategies in a CAD learning environment

McAlister

Bywater

Chiu

2021

Comput Appl Eng Educ

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“…Computer simulations can represent and predict a system's behavior via a reductive computational representation (e.g., Ref. [20,56]).…”

Section: Introductionmentioning

confidence: 99%

Modeling and simulation practices in engineering education

Magana

Jong

2018

Comp Applic In Engineering

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Much can be learned from the vast work on the use of computer simulations for inquiry learning for the integration of modeling and simulation practices in engineering education. This special issue presents six manuscripts that take steps toward evidence‐based teaching and learning practices. These six studies present learning designs that align learning objectives, with evidence of the learning, and pedagogy. Here we highlight the main contributions from each paper individually, but also themes identified across all of them. These themes include (a) approaches for modeling‐and‐simulation‐centric course design; (b) teaching practices and pedagogies for modeling and simulation implementation; and (c) evidence of learning with and about modeling and simulation practices. We conclude our introduction by highlighting desirable characteristics of studies that report on the effectiveness of modeling and simulation in engineering education, and with that we provide some recommendations for improving the scholarship of teaching and learning in this field.

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Active learning modules for a numerical methods course

Haney,

Dillon,

Kotas

2023

International Journal of Mechanical Engineering Education

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Education research has suggested that students who receive a wider variety of sensory inputs during the learning process will be able to make more connections and more deeply understand course content. To this end, three physical hands-on laboratory learning modules were designed for a computational numerical methods course to help students develop intuition for physical systems, to allow for a comparison of real data against numerical solutions of physics equations, and to increase student engagement. These modules were designed to reinforce specific topics covered in the numerical methods curriculum, including numerical differentiation and numerical solution of ordinary differential equations. Pre- and post-tests showed an increase in student knowledge after module completion. In addition, end-of-term surveys showed that a strong majority of students believed modules helped them visualize and understand key numerical methods concepts, and that most would be interested in learning new material with similar modules in the future.

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Developing students’ mathematical and computational knowledge to investigate mooring line in ocean engineering

Cited by 3 publications

References 24 publications

Exploring experienced designers' strategies in a CAD learning environment

Exploring experienced designers' strategies in a CAD learning environment

Modeling and simulation practices in engineering education

Active learning modules for a numerical methods course

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