A design of machinery learning activity to develop critical thinking

Author:

Sanchez-Londono David1ORCID,Posada-Ceron Sofia1,Barbieri Giacomo1,Rodriguez Carlos Francisco1

Affiliation:

1. Department of Mechanical Engineering, Universidad de los Andes, Bogota, Colombia

Abstract

In engineering education, it is universally recognized that the development of higher-order thinking skills must be encouraged. On the one hand, the backwards design approach allows for the design of courses or activities focused on learning goals rather than on specific content, establishing basic tools to foster these skills. On the other hand, Bloom’s taxonomy allows for the separation of macro learning goals into specific learning objectives and adequate evidence. This work integrates the two approaches for the development of an active learning activity for a design of machinery course. The activity consists of introducing students to the design of mechanisms, is developed following the backwards design process and Bloom’s taxonomy of learning objectives, and focuses on both technical skills and critical thinking. After designing and testing the activity, the authors found that it allows the acquisition of technical skills in kinematics and kinetics of mechanisms and provides insights for the development of the main components of critical thinking within the machinery design process.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Education

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. From Theory to Practice: Leveraging Project Based Learning to Cultivate Student Engagement in Mechanical Engineering Education;2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2023-12-18

2. Modeling and stability analysis of a sliding bead from a problem-based learning perspective;International Journal of Mechanical Engineering Education;2023-06-19

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3