Evidence map›Paper›PMID 40233029›Full record

ArticlePLoS computational biology2025

Combining flipped-classroom and spaced-repetition learning in a master-level bioinformatics course.

Gabriele Pozzati, Samuel Coulbourn Flores

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Gabriele PozzatiDepartment of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden.ORCID 0000-0002-4303-9939
Samuel Coulbourn FloresDepartment of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden.ORCID 0000-0002-3869-8147

Funding

Stockholm UniversitySwedish Research Council
6 · The paper itself

Abstract

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.

Indexed as

Computational BiologyLearningCOVID-19CurriculumEducational MeasurementEducation, DistanceHumansSARS-CoV-2StudentsTeaching

Identifiers

PMID40233029
PMCPMC11999146

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.