Exploring Student Conceptions of Modeling and Modeling Uses in Engineering Design

Background Modeling is a pervasive feature of engineering that is rarely taught explicitly to engineering students. The implicit inclusion of modeling often results in conceptions held by students of models based on the everyday use of the term that neglects important predictive types of models. Purpose We studied the effectiveness of an explicit modeling module designed to broaden student understandings of various approaches to and applications of modeling. Design/Method A two-phase analysis of student conceptions was undertaken. Phase I analyzed the conceptions of an experimental group before and after they were taught an explicit modeling module. Phase II added a comparison group at a second institution. Results A significant shift was observed for engineering students who were explicitly taught a modeling module. Student-held conceptions were predominantly descriptive-centric (e.g., physical models) throughout the investigation with an added focus on predictive (e.g., mathematical) modeling after completing the modeling module. These results were consistent for a comparison group. Conclusions Explicit learning experiences about models and the modeling process need to be embedded into the engineering curriculum, specifically in the teaching of engineering design. Teaching modeling will improve student use and understanding of modeling as an important and pervasive engineering tool.

[1]  Ann F. McKenna,et al.  Investigating engineering students' mathematical modeling abilities in capstone design , 2010 .

[2]  Julie Gainsburg The Mathematical Modeling of Structural Engineers , 2006 .

[3]  Micah S. Stohlmann,et al.  Modeling in Engineering: The Role of Representational Fluency in Students' Conceptual Understanding , 2013 .

[4]  L.J. Leifer,et al.  Engineering design thinking, teaching, and learning , 2005, IEEE Engineering Management Review.

[5]  Roger Hadgraft,et al.  Engineering Education and the Development of Expertise , 2011 .

[6]  G. Hatano,et al.  Commentary: Reconceptualizing School Learning Using Insight From Expertise Research , 2003 .

[7]  Eileen Goold,et al.  The Role of Mathematics in Engineering Practice and in the Formation of Engineers , 2012 .

[8]  H. Diefes-Dux,et al.  Developing model-eliciting activities for undergraduate students based on advanced engineering content , 2004, 34th Annual Frontiers in Education, 2004. FIE 2004..

[9]  Ann F. McKenna,et al.  Adaptive expertise and knowledge fluency in design and innovation , 2014 .

[10]  Ann F. McKenna,et al.  Characterizing the role of modeling in innovation , 2012 .

[11]  Wendy C. Newstetter,et al.  Designing Cognitive Apprenticeships for Biomedical Engineering , 2005 .

[12]  Ann F. McKenna,et al.  Characterizing computational adaptive expertise , 2008 .

[13]  Paul Winkelman,et al.  Perceptions of mathematics in engineering , 2009 .

[14]  Tuba Pinar Yildirim,et al.  Model-eliciting activities: assessing engineering student problem solving and skill integration processes , 2010 .

[15]  Tamara J. Moore,et al.  Developing Measures of Roughness: Problem Solving as a Method to Document Student Thinking in Engineering* , 2010 .