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DEVELOPING PISA-LIKE MATHEMATICS PROBLEMS ON UNCERTAINTY AND DATA USING ASIAN GAMES FOOTBALL CONTEXT

Journal on Mathematics Education · Vol. 10 No. 1 (2019) · pp. 37–46

DOI
10.22342/jme.10.1.5249.37-46
ISSN
2407-0610, 2087-8885
Published
2019-01-01
Publisher
Indonesian Mathematical Society

Abstract

This study aims to generate the valid and practical PISA-like mathematics problems on uncertainty and data using the football game context of Asian Games. It also aims to see the potential effects of the problems towards the high school students’ mathematical ability. This study used a design research methodology with the type of development study which was divided into two stages, namely preliminary stage and formative evaluation stage. The preliminary stage covered the analysis of research subjects, curriculum analysis, PISA framework and creating a question instrument. The formative evaluation stage included the one to one consisting of three students together with expert review consisting of two validators, small group consisting of six students, and then the field test. This study produced valid and practical PISA-like mathematics problems on uncertainty and data content which have a potential effect on the senior high school students’ mathematical literacy ability. The validity was determined based on the expert review, while the practicality was determined based on one-to-one and small group assessment. The students' mathematical literacy abilities appeared during the research were communication, reasoning and argument, and devising strategies for problem-solving.

Collaboration network of the authors

40 authors · 174 co-authorship links · 36 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 Nurul Jadid
  • Universitas Ahmad Dahlan
  • Universitas PGRI Yogyakarta
  • Utrecht University
  • Universitas Negeri Padang
  • Universitas Islam Negeri Raden Fatah Palembang
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
ZulkardiAffiliation unknown23
Yusuf HartonoSriwijaya University16
Darmawijoyo DarmawijoyoSriwijaya University10
Duano Sapta NusantaraSriwijaya University8
Rully Charitas Indra PrahmanaUniversitas Ahmad Dahlan7
ZulkardiAffiliation unknown6
Somakim SomakimSriwijaya University6
Laela SagitaUniversitas PGRI Yogyakarta6
Hapizah HapizahSriwijaya University6
Nyimas AisyahSriwijaya University6
Rahma Siska UtariSriwijaya University6
SomakimAffiliation unknown4
Ely SusantiSriwijaya University4
Yovika SukmaSriwijaya University4
Novita SariSriwijaya University4
Viona AdeliaSriwijaya University4
Ahmad FauzanUniversitas Negeri Padang4
Ranni PermatasariSriwijaya University4
Anna FauziahAffiliation unknown4
Meryansumayeka MeryansumayekaSriwijaya University4
Zahra AlwiSriwijaya University4
Frans van GalenUtrecht University3
Haniful MuttaqinAffiliation unknown3
Poppy YaniawatiUniversitas Pasundan3
Rizha AlfajriSriwijaya University3
Dea Alvionita AzkaSriwijaya University3
Dhea Anisah PutriSriwijaya University3
Nadya FitrianiSriwijaya University3
Arvin EfrianiUniversitas Islam Negeri Raden Fatah Palembang2
Dewi RawaniSriwijaya University2
MalalinaAffiliation unknown2
HapizahAffiliation unknown2
Irma RisdiyantiUniversitas Ahmad Dahlan2
E.I Pusta SiligarAffiliation unknown2
ZulkardiAffiliation unknown2
Muhammad MunifUniversitas Nurul Jadid1

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
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