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Titel:

Analyzing Students' Mental Models of Technical Systems

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Vogel-Heuser, Birgit; Loch, Frieder; Hofer, Sarah; Neumann, Eva-Maria; Reinhold, Frank; Scheuerer, Sarah; Zinn, Jonas; Reiss, Kristina
Abstract:
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...     »
Kongress- / Buchtitel:
17th IEEE International Conference on Industrial Informatics (IEEE INDIN)
Verlagsort:
Helsinki, Finnland
Jahr:
2019
Seiten:
1119--1125
Nachgewiesen in:
Scopus; Web of Science
WWW:
https://www.indin2019.org/program/full/
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