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Measuring the Authenticity of Engineering Learning in Community of Practice: An Instrument Development and Validation

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Conference

2023 ASEE Annual Conference & Exposition

Location

Baltimore , Maryland

Publication Date

June 25, 2023

Start Date

June 25, 2023

End Date

June 28, 2023

Conference Session

Instrument Design and Development

Tagged Division

Educational Research and Methods Division (ERM)

Page Count

17

DOI

10.18260/1-2--43584

Permanent URL

https://peer.asee.org/43584

Download Count

358

Paper Authors

biography

Wei Zhang Zhejiang University

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2015-Present Professor, Institute of China's Science,Technology and Education Strategy, Zhejiang University
Associate director of Research Center on Science and Education Development Strategy, Zhejiang University
2012-2014 Professor, School of management, Hangzhou Dianzi University
Dean of Organization Management, School of management, Hangzhou Dianzi University
2008-2012 Director of Teaching & Research Division, School of management, Hangzhou Dianzi University
2007-2012 Associate Professor, School of management, Hangzhou Dianzi University
2005-2007 Assistant Professor, School of management, Hangzhou Dianzi University

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biography

Liang Wang School of Public Affairs, Zhejiang University

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Liang Wang is a Phd. Student in School of Public Affairs, Zhejiang University, whose interests are engineering learning in communities of practice and transformations of engineering education worldwide.

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biography

帅 王 the School of Public Affairs, Zhejiang University

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Shuai Wang, PhD candidate in School of Public Affairs, Zhejiang University.Research Interests: Engineering education

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Abstract

Authentic engineering learning means that students learn in authentic environments with rich, real-world, immersive, and engaging tasks. Authentic engineering learning was regarded as an effective way to align engineering concepts and principles with ill-structured and complex workplace engineering problems. The purpose of this research paper is to describe the development and validation process of instruments to measure the authenticity of engineering learning. In the qualitative research stage, a thorough literature review about authentic engineering learning and qualitative interviews in some different engineering communities of practice were performed to collect and form total of 26 original items, followed by discussions with professional engineers and engineering students were organized to clarify the statement of every item. In the quantitative research stage, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) based on the data we gathered from engineering universities or other institutions in China were conducted to explore the factor structure of authenticity in engineering learning. The results of factor analysis indicated that the instrument we developed had acceptable internal consistency (Cronbach’s alpha) and could extract three sub-constructs: context authenticity, task authenticity, and impact authenticity. This study provided a new measure for engineering education researchers to deeply explore the construct of effective engineering learning environments.

Zhang, W., & Wang, L., & 王, 帅. (2023, June), Measuring the Authenticity of Engineering Learning in Community of Practice: An Instrument Development and Validation Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43584

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