A bridge to systems thinking in engineering design: An examination of students' ability to identify functions at varying levels of abstraction. Issue 4 (14th September 2017)

• Record Type: Journal Article
• Authors: Tomko, Megan; Nelson, Jacob; Nagel, Robert L.; Bohm, Matthew; Linsey, Julie
• Editors: Bohm, Matthew; Eckert, Claudia; Sen, Chiradeep; Srinivasan, Venkatamaran; Summers, Joshua D.; Vermaas, Pieter
• Is Part Of: AI EDAM. Volume 31:Issue 4(2017)
• Page Start: 535
• Page End: 549
• Publication Date: 2017-09-14
• Subjects: Assessment, -- Function Abstractions, -- Functional Modeling, -- Function Enumeration, -- Systems Thinking; Engineering design -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; 620.00420285
• DOI: 10.1017/S0890060417000439
• Languages: English
• ISSNs: 0890-0604

Abstract

Abstract: This paper aims to situate functional abstraction in light of systems thinking. While function does not extensively appear in systems thinking literature, the literature does identify function as part of systems thinking that enables us to recognize and connect that function has a role in building a systems thinking approach for students. A systems thinking approach is valuable for students since it helps them view a system holistically. In this research, we measure how well students are able to abstract function. We asked students to generate functions for two different products and examined how students taught functional modeling and function enumeration compare to students who are only taught function enumeration. The student responses were examined using a rubric that we developed and validated for assessing function. This rubric may be used to classify functions by correctness (correct, partially correct, and incorrect) and categories (high level, interface, low level, and ambiguous). On questions where students were not explicitly asked to write a high-level function or low-level function, and so on, students who were taught functional modeling were able to better demonstrate systems thinking in their responses (low-level and interface functions) than those students who were only taught function enumeration.