Operational message
There are currently operational disruptions. Troubleshooting is in progress.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Combining flipped-classroom and spaced-repetition learning in a master-level bioinformatics course
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab). Swedish University of Agricultural Sciences, Uppsala, Sweden.ORCID iD: 0000-0002-4303-9939
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Swedish University of Agricultural Sciences, Uppsala, Sweden.ORCID iD: 0000-0002-3869-8147
Number of Authors: 22025 (English)In: PloS Computational Biology, ISSN 1553-734X, E-ISSN 1553-7358, Vol. 21, no 4, article id e1012863Article in journal (Refereed) Published
Abstract [en]

Introductory bioinformatics courses can be challenging to teach. Students with a biological background may have never encountered computer science, and computer science students are likely to have minimal knowledge of biology. To improve learning, we implemented a flipped spaced-repetition course. We repeated the topics through various activities across different days while applying an unusually high number of examinations. The examinations were synergistic with the flipped classroom, encouraging reading and watching recorded lectures before in-person discussions. Additionally, they helped us structure and assess laboratory practicals. We analyzed grades, pass rates, student satisfaction, and student comments qualitatively and quantitatively over 7 years of the course, documenting progress as well as the effect of disruptions such as COVID-19 and changes in teaching staff. We share our results and insights into the opportunities and challenges of this pedagogical approach. An open online version of this course is freely provided for students and teachers.

Place, publisher, year, edition, pages
2025. Vol. 21, no 4, article id e1012863
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:su:diva-242988DOI: 10.1371/journal.pcbi.1012863ISI: 001489617000002PubMedID: 40233029Scopus ID: 2-s2.0-105002802190OAI: oai:DiVA.org:su-242988DiVA, id: diva2:1957079
Available from: 2025-05-08 Created: 2025-05-08 Last updated: 2025-10-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Pozzati, GabrieleCoulbourn Flores, Samuel

Search in DiVA

By author/editor
Pozzati, GabrieleCoulbourn Flores, Samuel
By organisation
Department of Biochemistry and BiophysicsScience for Life Laboratory (SciLifeLab)
In the same journal
PloS Computational Biology
Bioinformatics (Computational Biology)

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 32 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf