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Designing mean learning based on the PMRI-STEM approach coffee brewing context for culinary arts vocational high school students

Journal on Mathematics Education · Vol. 17 No. 2 (2026) · pp. 735–758

DOI
10.22342/jme.v17i2.pp735-758
ISSN
2407-0610, 2087-8885
Published
2026-06-04
Publisher
Indonesian Mathematical Society
License
creativecommons.org/licenses/by/4.0

Abstract

Understanding the mean as a measure of central tendency is fundamental to statistical literacy; however, school mathematics instruction often reduces the concept to procedural computation, limiting students’ opportunities to interpret data meaningfully and connect statistical ideas with real-world situations. Such procedural approaches contribute to difficulties in representing, interpreting, and applying mathematical information, which are key components of mathematical literacy. Although contextual and interdisciplinary learning environments have been advocated to address these challenges, limited research has explored how PMRI and STEM integration can support students’ conceptual understanding of the mean in vocational mathematics education. Addressing this gap, this study aimed to develop and investigate a PMRI-STEM learning design using the context of coffee brewing to support Culinary Arts Vocational High School students’ mathematical literacy. Employing design research, the study was conducted through three phases: preliminary design, teaching experiment, and retrospective analysis. Participants were Grade 10 students enrolled in a Culinary Arts Vocational High School program. Data were collected through classroom observations, students’ written work, and learning documentation and were analyzed descriptively to examine students’ learning processes and mathematical literacy development. The resulting learning trajectory consisted of four interconnected activities involving the design of a simple coffee filter funnel, measurement of coffee grounds, observation of coffee extraction, and determination of a standard coffee taste through mean calculations. Findings indicate that the coffee-brewing context supported students in organizing and representing data, calculating and interpreting the mean, and using mathematical information to justify decisions in authentic situations. The study contributes a context-based PMRI-STEM instructional framework that promotes meaningful statistical learning and supports the development of mathematical literacy in vocational education.

Collaboration network of the authors

40 authors · 177 co-authorship links · 31 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Sriwijaya University
  • Universitas Ahmad Dahlan
  • Universitas PGRI Yogyakarta
  • Universitas Negeri Padang
  • Universitas Islam Negeri Raden Fatah Palembang
  • Universitas Pasundan
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Zulkardi ZulkardiSriwijaya University25
ZulkardiAffiliation unknown25
Yusuf HartonoSriwijaya University8
ZulkardiAffiliation unknown6
Somakim SomakimSriwijaya University5
Rully Charitas Indra PrahmanaUniversitas Ahmad Dahlan5
Laela SagitaUniversitas PGRI Yogyakarta5
Hapizah HapizahSriwijaya University5
Duano Sapta NusantaraSriwijaya University4
SomakimAffiliation unknown4
Rahma Siska UtariSriwijaya University4
Ely SusantiAffiliation unknown4
Ely SusantiSriwijaya University4
Meryansumayeka MeryansumayekaSriwijaya University4
Darmawijoyo DarmawijoyoSriwijaya University3
Haniful MuttaqinAffiliation unknown3
Yovika SukmaSriwijaya University3
Novita SariSriwijaya University3
Viona AdeliaSriwijaya University3
Ahmad FauzanUniversitas Negeri Padang3
Ratu Ilma Indra PutriAffiliation unknown3
Arvin EfrianiUniversitas Islam Negeri Raden Fatah Palembang3
Ranni PermatasariSriwijaya University2
Poppy YaniawatiUniversitas Pasundan2
Dewi RawaniSriwijaya University2
Anna FauziahAffiliation unknown2
Zahra AlwiSriwijaya University2
MalalinaAffiliation unknown2
HapizahAffiliation unknown2
Irma RisdiyantiUniversitas Ahmad Dahlan2
E.I Pusta SiligarAffiliation unknown2
Rizha AlfajriSriwijaya University2
Dea Alvionita AzkaSriwijaya University2
Dhea Anisah PutriSriwijaya University2
Nadya FitrianiSriwijaya University2
ZulkardiAffiliation unknown2

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2407-0610/works, first harvested 28 Oct 2026, last seen 8 Nov 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Designing mean learning based on the PMRI-STEM approach coffee brewing context for culinary arts vocational high school students</dc:title><dc:creator>Susanti, Novi</dc:creator><dc:creator>Putri, Ratu Ilma Indra</dc:creator><dc:creator>Aisyah, Nyimas</dc:creator><dc:creator>Hartono</dc:creator><dc:description>&lt;jats:p&gt;Understanding the mean as a measure of central tendency is fundamental to statistical literacy; however, school mathematics instruction often reduces the concept to procedural computation, limiting students’ opportunities to interpret data meaningfully and connect statistical ideas with real-world situations. Such procedural approaches contribute to difficulties in representing, interpreting, and applying mathematical information, which are key components of mathematical literacy. Although contextual and interdisciplinary learning environments have been advocated to address these challenges, limited research has explored how PMRI and STEM integration can support students’ conceptual understanding of the mean in vocational mathematics education. Addressing this gap, this study aimed to develop and investigate a PMRI-STEM learning design using the context of coffee brewing to support Culinary Arts Vocational High School students’ mathematical literacy. Employing design research, the study was conducted through three phases: preliminary design, teaching experiment, and retrospective analysis. Participants were Grade 10 students enrolled in a Culinary Arts Vocational High School program. Data were collected through classroom observations, students’ written work, and learning documentation and were analyzed descriptively to examine students’ learning processes and mathematical literacy development. The resulting learning trajectory consisted of four interconnected activities involving the design of a simple coffee filter funnel, measurement of coffee grounds, observation of coffee extraction, and determination of a standard coffee taste through mean calculations. Findings indicate that the coffee-brewing context supported students in organizing and representing data, calculating and interpreting the mean, and using mathematical information to justify decisions in authentic situations. The study contributes a context-based PMRI-STEM instructional framework that promotes meaningful statistical learning and supports the development of mathematical literacy in vocational education.&lt;/jats:p&gt;</dc:description><dc:publisher>Indonesian Mathematical Society</dc:publisher><dc:date>2026-06-04</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.22342/jme.v17i2.pp735-758</dc:identifier><dc:identifier>10.22342/jme.v17i2.pp735-758</dc:identifier><dc:source>Journal on Mathematics Education; Vol 17 No 2 (2026); 735-758</dc:source><dc:source>2407-0610</dc:source><dc:source>2087-8885</dc:source><dc:relation>https://jme.ejournal.unsri.ac.id/index.php/jme/article/download/4064/424</dc:relation><dc:rights>https://creativecommons.org/licenses/by/4.0</dc:rights></oai_dc:dc>