Evidence map›Paper›PMID 41551670›Full record

ArticleJournal of chemical education2026

Adapting Master's-Level Chemistry Education in the United States: Insights from Industry, Academia, and the Literature.

Brian Johnson, Amanda Lindell, Nina M Goodey

Abstract read
In one paragraph

Article in Journal of chemical 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

3 authors.

Brian JohnsonInform Evaluation & Research, Amherst, Massachusetts 01002, United States.ORCID https://orcid.org/0000-0003-3852-8612
Amanda LindellInform Evaluation & Research, Amherst, Massachusetts 01002, United States.ORCID https://orcid.org/0009-0007-5259-5260
Nina M GoodeyDepartment of Chemistry and Biochemistry, Montclair State University, Montclair, New Jersey 07043, United States.ORCID https://orcid.org/0000-0001-8246-536X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the chemical industry evolves in response to technological and global challenges, Master's-level chemistry programs must adapt to prepare graduates for workforce success. This article explores how such programs can better integrate professional skills such as communication, collaboration, and research. Drawing on literature and stakeholder interviews from a review of the Chemistry M.S. and Pharmaceutical Biochemistry M.S. programs at Montclair State University, a Hispanic Serving Institution in New Jersey's pharmaceutical hub, we identified four key themes: the importance of hands-on research experiences, the integration of professional skills development, the need for flexible course and credit requirements, and the challenges of sustaining small programs. While independent research offers valuable experience, access can be limited by students' financial and time constraints. Financial support and even brief, course-based research opportunities can mitigate this gap. Using experiential learning and communities of practice as guiding frameworks, we offer actionable recommendations for increasing curriculum relevance, equity, and workforce alignment. The insights are broadly applicable to institutions seeking to modernize master's level chemistry education for a diverse student population.

Indexed as

course-based research experiencescurriculum innovationexperiential learningMaster’s-level chemistry educationprofessional skill developmentworkforce readiness

Identifiers

PMID41551670
PMCPMC12805566

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.