Self-efficacy analysis of student learning in systems engineering

Loading...
Thumbnail Image
Authors
Khan, Rabia
Whitcomb, Cliff
White, Corina
Subjects
Advisors
Date of Issue
2016
Date
Publisher
American Society of Mechanical Engineers (ASME)
Language
Abstract
Systems engineering (SE) competencies are defined based on the knowledge, skills, and abilities (KSAs) necessary for a systems engineer to perform tasks related to the discipline. Proficient systems engineers are expected to be able to integrate, apply, and be assessed on these KSAs as they develop competencies through their education and training, professional development, and on-the-job experience. The research conducted by the Naval Postgraduate School assessed where SE graduate students stood as far as developing the necessary competency levels they need to be successful systems engineers. A survey methodology was used to achieve this objective. Systems engineering students enrolled in SE courses at the Naval Postgraduate School represented the population surveyed. Survey items were written with the intent to capture self- efficacy for knowledge and skill sets as a subset of the overall set of competencies required for systems engineering, namely within the SE competencies of Critical Thinking, Systems Engineering, Teamwork and Project Management. A total of four surveys were administered to two SE cohorts. Results show that self-efficacy in systems engineering can be reasonably assumed to be positively affected by a graduate level educational program. The implications of the research can be used to develop structured curriculum content, assessment, and continuous process improvement techniques related to the development of SE learning, and to develop more valid and reliable instruments for assessing what systems engineers need to learn, need to know, and need to do.
Type
Conference Paper
Description
Series/Report No
Department
Systems Engineering
Organization
Identifiers
NPS Report Number
Sponsors
Funding
Format
8 p.
Citation
R. Khan, C. Whitcomb, C. White, "Self-efficacy analysis of student learning in systems engineering," Proceedings of the ASME 2016 International Mechanical Engineering Congress and Exposition, IMECE2016, November 11-17, 2016, Phoenix, Arizona, USA, Paper IMECE2016-67032
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Collections