ArticleDiscover education2026
Empowering precollege data science education with an innovative learning portal.
Article in Discover education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Data science education in K-12 settings often lacks authentic, hands-on experiences that allow students to meaningfully engage with data practices such as data collection, organization, visualization, and interpretation. Project-based learning provides a pedagogically grounded approach for developing these skills by situating data work within real scientific inquiry. The NIH SEPA-funded WInSTEP-SEPA (Wisconsin Inquiry-based Science Teacher Education Partnership-Science Education Partnership Award) portal was designed to operationalize this approach by embedding data science and data literacy instruction directly into environmental health research projects conducted by high school students. Methods: A multidisciplinary team of scientists, educators, and developers co-designed a web-based portal that supports student-led experimental design, structured data entry, visualization, and cross-study data exploration. The portal explicitly scaffolds core data literacy and introductory data science practices, including data generation, data management aligned with FAIR (Findable, Accessible, Interoperable, Reusable) principles, descriptive statistics, and graphical analysis. Learning outcomes were evaluated using matched pre- and post-instruction student surveys focused on data literacy and FAIR principles, along with teacher feedback. Results: Our portal successfully supported hands-on data science and data literacy learning for students. High school students used the portal to investigate the effects of environmental exposures such as nicotine, caffeine, and ethanol on zebrafish embryo development. Students actively engaged in collecting, organizing, visualizing, and interpreting their own experimental data and comparing results across studies. Moreover, our pre-post survey analysis showed statistically significant gains in students' understanding of foundational data literacy concepts, particularly related to the meaning of data and FAIR data practices. Conclusion: By integrating hands-on experimentation with structured data workflows, the WInSTEP-SEPA portal connects project-based learning to concrete data science and data literacy practices in K-12 education. The evaluation demonstrates measurable improvements in students' data literacy and supports the portal's effectiveness as a scalable model for introducing authentic, data-driven scientific inquiry in secondary classrooms.
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What OpenQuestion holds
Registered trials
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.