Design of Experiments in Engineering Education

Author:

João Isabel M.1ORCID,Silva João M.2ORCID

Affiliation:

1. Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, Portugal & CEG-IST, Instituto Superior Técnico, Universidade de Lisboa, Portugal

2. Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, Portugal & Instituto Superior Técnico, Universidade de Lisboa, Portugal

Abstract

The chapter will start with an overview of today´s challenges of engineering education. DOE can be very effective for solving problems in view of the new pedagogical challenges in engineering education. The chapter reviews the progress of DOE in engineering teaching and learning for problem solving and for product/process optimization with focus on engineering education in this new millennium. The goal is to identify the main engineering areas accounting for the use of statistical experimental design in engineering education as well as the main teaching/learning strategies and the combination of other tools used to support the use of DOE in engineering education. The main contribution will be to bring up ideas from studies of DOE in teaching/learning engineering environments to better understand the deficit of utilization of such type of approaches in academic projects/experiments despite the common utilization of DOE in statistics and quality literature.

Publisher

IGI Global

Reference74 articles.

1. Case-Based Problem Solving Exercises for Engineering Education. Engineering/Technology Management;V.Allada;Safety Engineering and Risk Analysis, Technology and Society, Engineering Business Management, and Homeland Security,2003

2. The structured development of simulation-based learning tools with an example for the Taguchi method

3. Rethinking the Paper Helicopter

4. Training for design of experiments using a catapult

Cited by 1 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

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