ArticleJournal of microbiology & biology education2025
A bioinformatics-driven CURE extension increases student self-efficacy and interest in biomedical research.
Article in Journal of microbiology & biology education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- A Non-Volunteer CURE in Introductory Biology Does Not Increase Student Retention at a Regional Comprehensive University.CBE life sciences education · 2026Article
- Advanced molecular detection, bioinformatics, and artificial intelligence era in medical laboratory science education.Journal of microbiology & biology education · 2026Article
- Engaging students in an AI-driven RNA drug design research project through a crowd science-infused learning approach.Journal of microbiology & biology education · 2026Article
- From bench to biotech: how a CURE cultivates student self-efficacy, gains in scientific thinking, and career aspirations.Journal of microbiology & biology education · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The biology workforce has a need for undergraduate students trained in bioinformatics. Although bioinformatics is a critical sub-discipline of biology, it is not required in all biology degree programs. In parallel, there is a need to increase student access to research experiences. To address these needs, we offer a one-credit bioinformatics-focused and computational biology course-based undergraduate research experience (CURE), here called the CB-CURE. Preliminary data suggest the CB-CURE increased student interest, knowledge, and self-efficacy, but also reveal a shortage of access to undergraduate research experiences (UREs) in faculty labs at our large institution. To provide a more URE-like experience for a class setting, we developed a one-semester extension to the CB-CURE, called CURE+. In CURE+, students execute individual bioinformatics-driven research projects and obtain additional career development and mentoring. To evaluate CURE+, we measured students' bioinformatics and research self-efficacy, interest in bioinformatics and research, and emotions toward their project. Additionally, we evaluated student mastery of the CURE+ learning outcomes to determine if the experience successfully enabled students to develop their research skills. Our data show significant increases in (i) student self-efficacy in various bioinformatics and research skills and (ii) student interest in bioinformatics-related activities and in biomedical research. Students had positive emotions toward their research project, and a majority of students mastered the CURE+ learning outcomes. Our data suggest that an intensive CURE extension can provide a potentially transformative research experience that helps fill a void in access to research at institutions with a high student-to-faculty ratio.
Indexed as
Identifiers
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.