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Innovative approach of nomography application into an engineering educational context.

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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.

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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.