Ten quick tips for teaching with participatory live coding

Nederbragt, Alexander J.; Harris, Rayna M.; Hill, Alison Presmanes; Wilson, Greg

doi:10.1371/journal.pcbi.1008090

Cited by 18 publications

(14 citation statements)

References 16 publications

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“…Leaders should also give feedback on work in a kind and constructive manner and emphasize mutual learning regardless of seniority [ 75 ]. Also, openly demonstrating struggles and failures (like talking through programming errors while live coding, or discussing unsuccessful submissions of publications and grants) along with sharing successes normalizes vulnerability [ 76 ]. By sharing small and large setbacks in informal and formal settings (e.g., presentations, group meetings), those in more senior positions can help to reduce doubts and insecurities among career team members [ 77 ].…”

Section: Rule 9: Safe Learning Spaces : Create Low...mentioning

confidence: 99%

Ten simple rules to cultivate belonging in collaborative data science research teams

Gaynor

Azevedo²,

Boyajian³

et al. 2022

PLoS Comput Biol

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Section: Rule 9: Safe Learning Spaces : Create Low...mentioning

confidence: 99%

Ten simple rules to cultivate belonging in collaborative data science research teams

Gaynor

Azevedo²,

Boyajian³

et al. 2022

PLoS Comput Biol

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“…All lessons are designed to be taught via 15-minute live-coding sessions. This method is used by The Carpentries and is demonstrated to be an effective method that engages learners (Nederbragt et al, 2020;Wilson, 2016) since learners must actively engage with the material and deal with errors and bugs as they arise. 3.…”

Section: Instructional Designmentioning

confidence: 99%

Teaching Python for Data Science: Collaborative development of a modular interactive curriculum

Duda¹,

Sovacool²,

Farzaneh³

et al. 2021

JOSE

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“…We provided a final evaluation form (questions in S5 Table ) to assess the overall quality of the new online format of the workshop. It was challenging to keep participants engaged, actively participating, and away from distractions [ 13 ]. We split the participants into groups for daily exercises and to work together on a group challenge on the last day.…”

Section: Assessment Of Quality and Impact Of The Workhopmentioning

confidence: 99%

The experience of teaching introductory programming skills to bioscientists in Brazil

et al. 2021

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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.

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Ten quick tips for teaching with participatory live coding

Abstract: are paid employees of RStudio PBC. They have read the journal's policy and confirm that no conflicts exist.

Cited by 18 publications

References 16 publications

Ten simple rules to cultivate belonging in collaborative data science research teams

Ten simple rules to cultivate belonging in collaborative data science research teams

Teaching Python for Data Science: Collaborative development of a modular interactive curriculum

The experience of teaching introductory programming skills to bioscientists in Brazil

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