Asee peer logo

Board 154: Model-building in Engineering Education

Download Paper |

Conference

2019 ASEE Annual Conference & Exposition

Location

Tampa, Florida

Publication Date

June 15, 2019

Start Date

June 15, 2019

End Date

June 19, 2019

Conference Session

NSF Grantees Poster Session

Tagged Topic

NSF Grantees Poster Session

Page Count

23

Permanent URL

https://peer.asee.org/32272

Download Count

9

Request a correction

Paper Authors

biography

Tobin N. Walton North Carolina A&T State University

visit author page

My research is focused on developing interdisciplinary theoretical frameworks and methodological designs capable of modeling the social and psychological drivers of behavior, decision-making, and information processing across multiple domains (e.g., health, education, the workplace).

visit author page

biography

Stephen B. Knisley North Carolina A&T State University

visit author page

Stephen B Knisley completed the BE degree in biomedical engineering at Duke University and the PhD degree in biomedical engineering at the University of North Carolina at Chapel Hill. He is currently the chair of the Department of Chemical, Biological and Bioengineering at North Carolina Agricultural and Technical State University.

visit author page

biography

Matthew B. A. McCullough North Carolina A&T State University

visit author page

An associate professor in the Department of Chemical, Biological, and Bioengineering, he has his B.S. in Industrial Engineering from North Carolina A&T and his Ph.D. in Biomedical Engineering from the University of Iowa. His research involves musculoskeletal biomechanics with a focus on computational methods. He is also deeply interested in engineering education and especially creating opportunities for underrepresented minorities and women in the field.

visit author page

Download Paper |

Abstract

For several decades STEM education researchers have worked to identify and develop measures of social psychological constructs that can help us better understand what motivates student learning and persistence. In this time, measures of constructs such as identity, values, self-efficacy, and expectancy have been used effectively to assess educational interventions and explain many facets of student experiences in STEM programs. Increasingly within the literature researchers are working toward combining multiple constructs into predictive models of student outcomes. This study reports on an information-based multi-model comparative research design used to develop and assess a model of the way in which engineering identity, self-efficacy, and values may combine to motivate student learning within an undergraduate engineering program at a large Historically Black College/University (HBCU). Survey data from two cohorts of Freshman students is used to develop and validate the measures of each construct and conduct a multi-model comparison using Structural Equation Modeling

Walton, T. N., & Knisley, S. B., & McCullough, M. B. A. (2019, June), Board 154: Model-building in Engineering Education Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. https://peer.asee.org/32272

ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2019 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015