Evidence map›Paper›PMID 24006393›Full record

ArticleCBE life sciences education2013

Bioinformatics education in high school: implications for promoting science, technology, engineering, and mathematics careers.

Dina N Kovarik, Davis G Patterson, Carolyn Cohen, Elizabeth A Sanders, Karen A Peterson, Sandra G Porter, Jeanne Ting Chowning

Open access · hybridAbstract read
In one paragraph

Article in CBE life sciences education, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

14 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Integrating Biomedical Informatics Training into Existing High School Curricula.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
    Article
  14. ABCC11 Earwax Trait and Genotype Are Suitable Tools for Introductory Labs to Learn Genetics and Molecular Techniques.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology
    Article
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

7 authors at 2 institutions in 1 country.

Dina N KovarikNorthwest Association for Biomedical Research, Seattle, WA 98119, USA.
Davis G Patterson
Carolyn Cohen
Elizabeth A Sanders
Karen A Peterson
Sandra G Porter
Jeanne Ting Chowning
Northwest Association For Biomedical Research · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the effects of our Bio-ITEST teacher professional development model and bioinformatics curricula on cognitive traits (awareness, engagement, self-efficacy, and relevance) in high school teachers and students that are known to accompany a developing interest in science, technology, engineering, and mathematics (STEM) careers. The program included best practices in adult education and diverse resources to empower teachers to integrate STEM career information into their classrooms. The introductory unit, Using Bioinformatics: Genetic Testing, uses bioinformatics to teach basic concepts in genetics and molecular biology, and the advanced unit, Using Bioinformatics: Genetic Research, utilizes bioinformatics to study evolution and support student research with DNA barcoding. Pre-post surveys demonstrated significant growth (n = 24) among teachers in their preparation to teach the curricula and infuse career awareness into their classes, and these gains were sustained through the end of the academic year. Introductory unit students (n = 289) showed significant gains in awareness, relevance, and self-efficacy. While these students did not show significant gains in engagement, advanced unit students (n = 41) showed gains in all four cognitive areas. Lessons learned during Bio-ITEST are explored in the context of recommendations for other programs that wish to increase student interest in STEM careers.

Indexed as

Career ChoiceSchoolsComputational BiologyCurriculumData CollectionEngineeringFacultyFemaleHumansMaleMathematicsProfessional CompetenceScienceStudentsTechnology

Identifiers

PMID24006393
PMCPMC3763012
OpenAlexW2167294005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.