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Journal

Study of ICT Integrated Challenge Based Learning on Statictical Thinking Ability

PRISMA, Prosiding Seminar Nasional Matematika · Vol. 6 (2023) · pp. 77–86

ISSN
2613-9189
Published
2023-02-28
Publisher
Jurusan Matematika FMIPA UNNES
Language
eng

Abstract

The research method used is a literature study that uses secondary data with search keywords according to the purpose. The data analysis technique consists of three stages, namely organize, synthesize, and identify. The results achieved are the formation of stages of learning ICT integrated challenge based learning model based on the literature that has been analyzed and the relationship between ICT integrated challenge based learning models on statistical thinking ability. Based on the results and discussion, it was obtained that the ICT integrated challenge based learning model can be an innovative solution to develop statistical thinking ability. Learning with an ICT integrated challenge based learning model will facilitate students to carry out activities in a series of processes that are mutually sustainable, ranging from identification, characterization, measurement, control and reducing variation activities providing opportunities for improvement in the process to be able to solve problems related to data in real word problem as it becomes characteristic of statistical thinking. The suggestion proposed is that further research is needed on the development of learning instruments and media with an ICT integrated challenge based learning model that contains indicators of statistical thinking ability and the implementation of these models in mathematics learning.

Collaboration network of the authors

40 authors · 99 co-authorship links · showing the 40 most connected

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

  • State University of Semarang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Arum DinasariAffiliation unknown3
Iwan JunaediState University of Semarang3
Mohammad AsikinAffiliation unknown3
Ghozy Hanafi AgungAffiliation unknown3
Mulyono MulyonoAffiliation unknown2
Stefany Margaretha HutaurukAffiliation unknown2
Nuriana Rachmani DewiAffiliation unknown1
Sekar Lintang NurshobihaAffiliation unknown1
Vivi Anggraini Saputri AzisAffiliation unknown1
Wahid JauhariAffiliation unknown1
Alyana Aurellia Putri ArifadewiAffiliation unknown1
Fatya AzizahAffiliation unknown1
Ananda Verry SetiawanAffiliation unknown1
Selva Ayu MeilinaAffiliation unknown1
Andika Nur FeriantoAffiliation unknown1
Rochmad RochmadAffiliation unknown1
Abdul Mu'iz RahmatjatiAffiliation unknown1
Afianita Dewi SunaringtyasAffiliation unknown1
Maydilla Fadiarahma VistaraAffiliation unknown1
Emi PudjiastutiAffiliation unknown1
Nabella Dwi CahyaAffiliation unknown1
Mashuri MashuriAffiliation unknown1
Detalia Noriza MunahefiAffiliation unknown1
Nuriana Rachmani Dewi Nino AdhiAffiliation unknown1
Nur Maulana IkhsanAffiliation unknown1
Nadiya Maysun SalwaaAffiliation unknown1
Isna Devita Nurul NazzalaAffiliation unknown1
Halillah MahfirohAffiliation unknown1
Nico CaesarioAffiliation unknown1
Aulia Syifa AnnisaAffiliation unknown1
Laili MaftukhahAffiliation unknown1
Siti Malihatus SaniyahAffiliation unknown1
Bagus Surya MaulanaAffiliation unknown1
Khikmatul Laili DesiyaniAffiliation unknown1
Widaswara Agustin HanisyahAffiliation unknown1
Gemintang Cinta WinarkoAffiliation unknown1
Leilita Shiva ElfitriaAffiliation unknown1
Aidah SalmaAffiliation unknown1

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.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/prisma/oai, first harvested 6 Nov 2026, last seen 6 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Study of ICT Integrated Challenge Based Learning on Statictical Thinking Ability</dc:title>
	<dc:creator>Sari, Kamila Kurnia</dc:creator>
	<dc:creator>Ardiansyah, Adi Satrio</dc:creator>
	<dc:description xml:lang="en-US">The research method used is a literature study that uses secondary data with search keywords according to the purpose. The data analysis technique consists of three stages, namely organize, synthesize, and identify. The results achieved are the formation of stages of learning ICT integrated challenge based learning model based on the literature that has been analyzed and the relationship between ICT integrated challenge based learning models on statistical thinking ability. Based on the results and discussion, it was obtained that the ICT integrated challenge based learning model can be an innovative solution to develop statistical thinking ability. Learning with an ICT integrated challenge based learning model will facilitate students to carry out activities in a series of processes that are mutually sustainable, ranging from identification, characterization, measurement, control and reducing variation activities providing opportunities for improvement in the process to be able to solve problems related to data in real word problem as it becomes characteristic of statistical thinking. The suggestion proposed is that further research is needed on the development of learning instruments and media with an ICT integrated challenge based learning model that contains indicators of statistical thinking ability and the implementation of these models in mathematics learning.</dc:description>
	<dc:publisher xml:lang="en-US">Jurusan Matematika FMIPA UNNES</dc:publisher>
	<dc:date>2023-02-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/prisma/article/view/66486</dc:identifier>
	<dc:source xml:lang="en-US">PRISMA, Prosiding Seminar Nasional Matematika; Vol 6 (2023): PRISMA, Prosiding Seminar Nasional Matematika XVI; 77-86</dc:source>
	<dc:source>2613-9189</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/prisma/article/view/66486/23763</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 PRISMA, Prosiding Seminar Nasional Matematika</dc:rights>
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