When online citizen science meets teaching: Storyfication of a science discovery game to teach, learn, and contribute to genomic research.

bioinformatics citizen science education video game

Journal

Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology
ISSN: 1539-3429
Titre abrégé: Biochem Mol Biol Educ
Pays: United States
ID NLM: 100970605

Informations de publication

Date de publication:
06 Nov 2023
Historique:
received: 25 08 2022
accepted: 22 09 2023
medline: 6 11 2023
pubmed: 6 11 2023
entrez: 6 11 2023
Statut: aheadofprint

Résumé

In the last decade, video games became a common vehicle for citizen science initiatives in life science, allowing participants to contribute to real scientific data analysis while learning about it. Since 2010, our scientific discovery game (SDG) Phylo enlists participants in comparative genomic data analysis. It is frequently used as a learning tool, but the activities were difficult to aggregate to build a coherent teaching activity. Here, we describe a strategy and series of recipes to facilitate the integration of SDGs in courses and implement this approach in Phylo. We developed new roles and functionalities enabling instructors to create assignments and monitor the progress of students. A story mode progressively introduces comparative genomics concepts, allowing users to learn and contribute to the analysis of real genomic sequences. Preliminary results from a user study suggest this framework may help to boost user motivation and clarify pedagogical objectives.

Identifiants

pubmed: 37929794
doi: 10.1002/bmb.21796
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Genome Canada
Organisme : Génome Québec

Informations de copyright

© 2023 International Union of Biochemistry and Molecular Biology.

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Auteurs

Chrisostomos Drogaris (C)

School of Computer Science, McGill University, Montréal, QC, Canada.

Alexander Butyaev (A)

School of Computer Science, McGill University, Montréal, QC, Canada.

Elena Nazarova (E)

School of Computer Science, McGill University, Montréal, QC, Canada.

Roman Sarrazin-Gendron (R)

School of Computer Science, McGill University, Montréal, QC, Canada.

Harsh Patel (H)

School of Computer Science, McGill University, Montréal, QC, Canada.

Akash Singh (A)

School of Computer Science, McGill University, Montréal, QC, Canada.

Brenden Kadota (B)

School of Computer Science, McGill University, Montréal, QC, Canada.

Jérôme Waldispühl (J)

School of Computer Science, McGill University, Montréal, QC, Canada.

Classifications MeSH