Evidence map›Paper›PMID 42147136›Full record

ArticleJournal of chemical education2026

The Chocolate Curriculum: A Gateway to Materials Science and Engineering and Python Programming.

Janine K Nunes, Ananya Chakravarti, Z Vivian Feng

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.

Janine K NunesPrinceton Materials Institute, Princeton University, Princeton, New Jersey 08544, United States.ORCID https://orcid.org/0000-0002-1742-2934
Ananya ChakravartiChemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, United States.
Z Vivian FengCenter on Science and Technology, Princeton University, Princeton, New Jersey 08544, United States.ORCID https://orcid.org/0000-0002-3329-3781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most incoming college students have little awareness of materials science and engineering (MSE) as a discipline, resulting in barriers to entry for a field central to modern technology. To address this gap, we designed a short course curriculum that introduced high school students to MSE concepts through accessible, hands-on, and computationally driven activities framed in the context of chocolate science. The curriculum, rooted in the Context-Based Learning framework, aimed to build scientific literacy and present an engineering perspective by linking everyday observations to the underlying materials science tetrahedron of "structure, process, properties, and performance" relationships. Students engaged in low-cost activities that explicitly connected to advanced laboratory techniques, such as differential scanning calorimetry and polarized optical microscopy, introducing them to tools that produce research-quality data but rely on the same principles. Computational modules introducing Python for modeling, quantitative analysis, and data visualization showed how computational skills can aid broader research efforts and enabled students to produce publication-quality figures and investigate hypotheses. This integrated experimental-computational approach with the chocolate theme lowered barriers to MSE, increased awareness of the field, and empowered students to become citizen scientists.

Indexed as

Computer-Based Learning Materials ScienceCurriculumHands-On Learning/ManipulativesHigh School/Introductory ChemistryInquiry-Based/Discovery LearningInterdisciplinary/MultidisciplinaryThermal Analysis

Identifiers

PMID42147136
PMCPMC13173523

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.