The experience of teaching introductory programming skills to bioscientists in Brazil.
Computational biology has gained traction as an independent scientific discipline over the last years in South America. However, there is still a growing need for bioscientists, from different backgrounds, with different levels, to acquire programming skills, which could reduce the time from data to...
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2021
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oai:doaj.org-article:b08bceadb8ce48ae8a70e878525327772021-12-02T19:58:12ZThe experience of teaching introductory programming skills to bioscientists in Brazil.1553-734X1553-735810.1371/journal.pcbi.1009534https://doaj.org/article/b08bceadb8ce48ae8a70e878525327772021-11-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009534https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Computational biology has gained traction as an independent scientific discipline over the last years in South America. However, there is still a growing need for bioscientists, from different backgrounds, with different levels, to acquire programming skills, which could reduce the time from data to insights and bridge communication between life scientists and computer scientists. Python is a programming language extensively used in bioinformatics and data science, which is particularly suitable for beginners. Here, we describe the conception, organization, and implementation of the Brazilian Python Workshop for Biological Data. This workshop has been organized by graduate and undergraduate students and supported, mostly in administrative matters, by experienced faculty members since 2017. The workshop was conceived for teaching bioscientists, mainly students in Brazil, on how to program in a biological context. The goal of this article was to share our experience with the 2020 edition of the workshop in its virtual format due to the Coronavirus Disease 2019 (COVID-19) pandemic and to compare and contrast this year's experience with the previous in-person editions. We described a hands-on and live coding workshop model for teaching introductory Python programming. We also highlighted the adaptations made from in-person to online format in 2020, the participants' assessment of learning progression, and general workshop management. Lastly, we provided a summary and reflections from our personal experiences from the workshops of the last 4 years. Our takeaways included the benefits of the learning from learners' feedback (LLF) that allowed us to improve the workshop in real time, in the short, and likely in the long term. We concluded that the Brazilian Python Workshop for Biological Data is a highly effective workshop model for teaching a programming language that allows bioscientists to go beyond an initial exploration of programming skills for data analysis in the medium to long term.Luíza ZuvanovAna Letycia Basso GarciaFernando Henrique CorrerRodolfo BizarriaAilton Pereira da Costa FilhoAlisson Hayasi da CostaAndréa T ThomazAna Lucia Mendes PinheiroDiego Mauricio Riaño-PachónFlavia Vischi WinckFranciele Grego EstevesGabriel Rodrigues Alves MargaridoGiovanna Maria Stanfoca CasagrandeHenrique Cordeiro FrajacomoLeonardo MartinsMariana Feitosa CavalheiroNathalia Graf GrachetRaniere Gaia Costa da SilvaRicardo CerriRommel Thiago Juca RamosSimone Daniela Sartorio de MedeirosThayana Vieira TavaresRenato Augusto Corrêa Dos SantosPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 11, p e1009534 (2021) |
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Biology (General) QH301-705.5 |
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Biology (General) QH301-705.5 Luíza Zuvanov Ana Letycia Basso Garcia Fernando Henrique Correr Rodolfo Bizarria Ailton Pereira da Costa Filho Alisson Hayasi da Costa Andréa T Thomaz Ana Lucia Mendes Pinheiro Diego Mauricio Riaño-Pachón Flavia Vischi Winck Franciele Grego Esteves Gabriel Rodrigues Alves Margarido Giovanna Maria Stanfoca Casagrande Henrique Cordeiro Frajacomo Leonardo Martins Mariana Feitosa Cavalheiro Nathalia Graf Grachet Raniere Gaia Costa da Silva Ricardo Cerri Rommel Thiago Juca Ramos Simone Daniela Sartorio de Medeiros Thayana Vieira Tavares Renato Augusto Corrêa Dos Santos The experience of teaching introductory programming skills to bioscientists in Brazil. |
| description |
Computational biology has gained traction as an independent scientific discipline over the last years in South America. However, there is still a growing need for bioscientists, from different backgrounds, with different levels, to acquire programming skills, which could reduce the time from data to insights and bridge communication between life scientists and computer scientists. Python is a programming language extensively used in bioinformatics and data science, which is particularly suitable for beginners. Here, we describe the conception, organization, and implementation of the Brazilian Python Workshop for Biological Data. This workshop has been organized by graduate and undergraduate students and supported, mostly in administrative matters, by experienced faculty members since 2017. The workshop was conceived for teaching bioscientists, mainly students in Brazil, on how to program in a biological context. The goal of this article was to share our experience with the 2020 edition of the workshop in its virtual format due to the Coronavirus Disease 2019 (COVID-19) pandemic and to compare and contrast this year's experience with the previous in-person editions. We described a hands-on and live coding workshop model for teaching introductory Python programming. We also highlighted the adaptations made from in-person to online format in 2020, the participants' assessment of learning progression, and general workshop management. Lastly, we provided a summary and reflections from our personal experiences from the workshops of the last 4 years. Our takeaways included the benefits of the learning from learners' feedback (LLF) that allowed us to improve the workshop in real time, in the short, and likely in the long term. We concluded that the Brazilian Python Workshop for Biological Data is a highly effective workshop model for teaching a programming language that allows bioscientists to go beyond an initial exploration of programming skills for data analysis in the medium to long term. |
| format |
article |
| author |
Luíza Zuvanov Ana Letycia Basso Garcia Fernando Henrique Correr Rodolfo Bizarria Ailton Pereira da Costa Filho Alisson Hayasi da Costa Andréa T Thomaz Ana Lucia Mendes Pinheiro Diego Mauricio Riaño-Pachón Flavia Vischi Winck Franciele Grego Esteves Gabriel Rodrigues Alves Margarido Giovanna Maria Stanfoca Casagrande Henrique Cordeiro Frajacomo Leonardo Martins Mariana Feitosa Cavalheiro Nathalia Graf Grachet Raniere Gaia Costa da Silva Ricardo Cerri Rommel Thiago Juca Ramos Simone Daniela Sartorio de Medeiros Thayana Vieira Tavares Renato Augusto Corrêa Dos Santos |
| author_facet |
Luíza Zuvanov Ana Letycia Basso Garcia Fernando Henrique Correr Rodolfo Bizarria Ailton Pereira da Costa Filho Alisson Hayasi da Costa Andréa T Thomaz Ana Lucia Mendes Pinheiro Diego Mauricio Riaño-Pachón Flavia Vischi Winck Franciele Grego Esteves Gabriel Rodrigues Alves Margarido Giovanna Maria Stanfoca Casagrande Henrique Cordeiro Frajacomo Leonardo Martins Mariana Feitosa Cavalheiro Nathalia Graf Grachet Raniere Gaia Costa da Silva Ricardo Cerri Rommel Thiago Juca Ramos Simone Daniela Sartorio de Medeiros Thayana Vieira Tavares Renato Augusto Corrêa Dos Santos |
| author_sort |
Luíza Zuvanov |
| title |
The experience of teaching introductory programming skills to bioscientists in Brazil. |
| title_short |
The experience of teaching introductory programming skills to bioscientists in Brazil. |
| title_full |
The experience of teaching introductory programming skills to bioscientists in Brazil. |
| title_fullStr |
The experience of teaching introductory programming skills to bioscientists in Brazil. |
| title_full_unstemmed |
The experience of teaching introductory programming skills to bioscientists in Brazil. |
| title_sort |
experience of teaching introductory programming skills to bioscientists in brazil. |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2021 |
| url |
https://doaj.org/article/b08bceadb8ce48ae8a70e87852532777 |
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