Google Colab and Virtual Simulations: Practical e‑Learning Tools to Support the Teaching of Thermodynamics and to Introduce Coding to Students

Various studies have reported the versatility and great scope of programming tools in all areas of knowledge. Coding is generally of paramount importance to chemistry students regardless of whether they intend to work with theoretical chemistry. Google Colab notebooks can introduce students to progr...

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Autores:
Vallejo, William
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad del Atlántico
Repositorio:
Repositorio Uniatlantico
Idioma:
eng
OAI Identifier:
oai:repositorio.uniatlantico.edu.co:20.500.12834/876
Acceso en línea:
https://hdl.handle.net/20.500.12834/876
https://www.scopus.com/record/display.uri?eid=2-s2.0-85125349094&doi=10.1021%2facsomega.2c00362&origin=inward&txGid=a56e84d95fddb8d7de4fc33ab3e5304d
Palabra clave:
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc/4.0/
Description
Summary:Various studies have reported the versatility and great scope of programming tools in all areas of knowledge. Coding is generally of paramount importance to chemistry students regardless of whether they intend to work with theoretical chemistry. Google Colab notebooks can introduce students to programming concepts and could be a convenient tool to assist in the chemistry teaching process. In this article, we implemented Google Colab notebooks to aid in the teaching of thermodynamics in a physical chemistry class. We presented six notebooks, covering introductory concepts of both coding and thermodynamics as a set of learning objects that can be useful in a virtual learning environment. In addition, in some of the notebooks, we included a step-by-step guide on how to run virtual lab simulations. The Colab notebooks were created for students without previous experience in programming. All of the Colab notebooks contain exercises of the activities and the solutions of the proposed exercises. Furthermore, all of the Colab notebooks can be modified and downloaded from the Github repository. Finally, we used the Python programming language and Colab because they are free and widely used by the academic community.