Instrument Development to Assess Design Project Appropriateness for Domain Relatedness, Ambiquity Tolerance, and Genderedness

Kathy L. Jackson, Jordan C.E. Blair, Gul E. Kremer, Xinli Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents preliminary results of a currently funded NSF project that is developing and validating an instrument to assess the relationship between project appropriateness in domain relatedness, ambiguity, and genderedness and student efficacy in first-year engineering design courses. Because design is a defining activity for engineers, it is widely adopted as a means to introduce students to engineering. Many engineering schools now have first-year engineering courses, which feature engineering design learning in team-based settings. From a student's perspective, motivation and self-efficacy may decrease when (1) the project domain (e.g., electrical engineering) is not directly related to their chosen major (e.g., chemical engineering), (2) the projects are perceived to be overly complex and ambiguous vis-à-vis student preparation, and (3) skewed toward a particular gender (e.g., masculine or feminine oriented). With this work, we aim to assist engineering design instructors in refining content to achieve higher retention rates.

Original languageEnglish (US)
Title of host publicationFrontiers in Education
Subtitle of host publicationFostering Innovation Through Diversity, FIE 2018 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538611739
DOIs
StatePublished - Mar 4 2019
Event48th Frontiers in Education Conference, FIE 2018 - San Jose, United States
Duration: Oct 3 2018Oct 6 2018

Publication series

NameProceedings - Frontiers in Education Conference, FIE
Volume2018-October
ISSN (Print)1539-4565

Conference

Conference48th Frontiers in Education Conference, FIE 2018
CountryUnited States
CitySan Jose
Period10/3/1810/6/18

All Science Journal Classification (ASJC) codes

  • Software
  • Education
  • Computer Science Applications

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