@inproceedings{71eb1ad4573f47259898689e553c02d5,
title = "Integrating Python in the (bio)chemical engineering curriculum: challenges and opportunities",
abstract = "In times when developments in digital transformation and online education are accelerating due to the push of the Fourth Industrial Revolution and the Covid-19 pandemic, Education and Digitalization are becoming increasingly intertwined. These recent events have proved the necessity for engineers to adapt by acquiring new technical skills. To facilitate the shift to digital technologies, as well as to enhance students{\textquoteright} engagement, this study investigates the introduction of Python as a tool to solve chemical engineering problems, aiming to improve students{\textquoteright} learning experience by providing stimulating material and gamification. The Python material, covering topics such as stoichiometry, design of chemical reactors, and mass and energy balances, was embedded into the curriculum of a BEng. Course in Chemical Reaction Engineering at the Technical University of Denmark. Preliminary results seem to confirm that digital tools generate higher engagement and participation among students, leading to better understanding and higher performance.",
keywords = "Python, Digital education, Programming in engineering curriculum",
author = "Fiammetta Caccavale and {L. Gargalo}, Carina and Gernaey, {Krist V.} and Ulrich Kr{\"u}hne",
year = "2023",
doi = "10.1016/B978-0-443-15274-0.50554-0",
language = "English",
isbn = "978-0-443-23553-5",
volume = "52",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier",
pages = "3471--3476",
editor = "Kokossis, {Antonis } and {C. Georgiadis}, {Michael } and {N. Pistikopoulos}, Efstratios",
booktitle = "Proceedings of the 33rd European Symposium on Computer Aided Process Engineering",
address = "United Kingdom",
note = "33rd European Symposium on Computer Aided Process Engineering, ESCAPE33 ; Conference date: 18-06-2023 Through 21-06-2023",
}