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Innovative approach of nomography application into an engineering educational context
Trevor Blight1, Pedro Martínez-Pagán2, Leif Roschier3
1Electrical Engineering, University of Adelaide, Adelaide, Australia.
Plos One
|February 6, 2025
Summary
Nomography, a graphical computing method, is being revitalized by open-source software like Nomogen. This tool enables easy creation of precise nomograms, fostering renewed interest in engineering education.
Area of Science:
- Mathematics
- Engineering Education
Background:
- Nomography, a graphical computing method, historically aided scientists and engineers.
- Its use declined with digital computation but retains educational potential.
Purpose of the Study:
- Introduce Nomogen, a Python package for creating 3-variable nomograms.
- Assess student interest and perceived usefulness of nomograms generated by Nomogen.
Main Methods:
- Developed Nomogen, a Python package to automate nomogram generation.
- Tested Nomogen-generated nomograms with engineering students.
- Conducted a Likert scale survey on student perceptions.
Main Results:
- Nomogen generates reliable and scalable nomograms efficiently.
- Students showed renewed interest and found nomograms helpful for engineering learning.
- A high percentage of students believed nomograms aid in interpreting complex phenomena.
Conclusions:
- Open-source software like Nomogen can overcome past nomography drawbacks.
- Nomography, aided by such tools, should be integrated into engineering curricula.
- This approach enhances understanding of complex variables in engineering education.
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