Evidence map›Paper›PMID 42095671›Full record

ArticleJournal of microbiology & biology education2026

Integrating STEM career exploration into busy introductory biology courses through a student-driven podcast project.

Joanna I Giza, Canan Karaalioglu

Abstract read
In one paragraph

Article in Journal of microbiology & biology 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.

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.

Joanna I GizaBorough of Manhattan Community College, City University of New York, New York, New York, USA.ORCID 0000-0003-0585-4673
Canan KaraaliogluBorough of Manhattan Community College, City University of New York, New York, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introductory biology courses at 2- and 4-year colleges attract students from diverse disciplines, fulfilling both science prerequisites and general education requirements. Therefore, these introductory classes provide an ideal opportunity to ignite interest in science and introduce students to STEM professions, which will likely expand with artificial intelligence (AI). Unfortunately, densely packed curricula offer no room for career exploration. Science majors often struggle to connect class concepts to their long-term goals, while those with no prior background feel overwhelmed catching up with more experienced classmates. This disconnect can reduce students' emotional engagement with the course, increase dependence on AI tools, and potentially contribute to course withdrawal. To address these challenges, we developed a student-driven, semester-long podcast project that integrates career exploration into the curriculum with minimal impact on class time and instructor workload. Grounded in educational psychology, this assignment builds personal connection with the course over time and enhances motivation and interest in the field while fostering a sense of community, difficult to achieve in classes with mixed background knowledge. Administering surveys across multiple semesters revealed the high efficacy of this strategy. Eighty-four percent of the students were inspired to explore careers in biology, and 84% expanded their interest in the field. Furthermore, 87% felt motivated by their classmates' stories, and nearly 90% noted an improved sense of connection with peers.

Indexed as

biology educationcareer explorationpodcastsproject-based learningscience communicationself-regulated learningstudent engagement

Identifiers

PMID42095671
PMCPMC13520678

What OpenQuestion holds

Textmetadata
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.