Analyzing Students' Mental Models of Technical Systems

Successful innovation processes require communication between different disciplines, such as mechanical and electrical engineering or software development. However, such communication is hampered by differences in individual mental models of technical systems. This paper presents two studies that investigate mental models of engineering students. The studies apply SA/RT and card sorting to analyze mental models and were conducted at the beginning of their academic education to understand influences on discipline-specific mental models that are observed in practice. The studies indicate that the mental models of engineering students are typically based on structural properties of the machines. A second study led to the identification of nine dimension that classify mental models of students. Future work that facilitates the analysis of mental models on a larger scale is proposed. The aim of this work is to understand these differences and thereby inform educational mechanisms that teach mental model flexibility and perspective change.     «

Successful innovation processes require communication between different disciplines, such as mechanical and electrical engineering or software development. However, such communication is hampered by differences in individual mental models of technical systems. This paper presents two studies that investigate mental models of engineering students. The studies apply SA/RT and card sorting to analyze mental models and were conducted at the beginning of their academic education to understand influen...     »