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META-ANALYSIS OF COMPUTER-BASED MATHEMATICS LEARNING IN THE LAST DECADE SCOPUS DATABASE: TRENDS AND IMPLICATIONS

Infinity Journal · Vol. 12 No. 1 (2023)

DOI
10.22460/infinity.v12i1.p101-116
ISSN
2460-9285, 2089-6867
Terbit
2023-02-28
Penerbit
IKIP Siliwangi Bandung
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Computer-Based Mathematics Learning (CBML) has gone global in the last decade and is making a substantial impact for educational purposes. But the fact is that in the scientific literature, it is found that studies aimed at testing these theoretical assumptions have inconsistent results. In this regard, this meta-analysis was conducted to determine the effect of CBML and to analyze categorical variables to consider the implications. Data were retrieved from the Scopus database using Publish or Perish between 2010 and 2023. This study examined 29 independent samples from 28 eligible primary studies with 1179 subjects. The population estimate was based on a random effects model, and the CMA software was used as a calculation aid. The study's results provide an overall effect size of 1.03 (large effect). This indicates that applying CBML significantly affects students' mathematical abilities. The four categorical variables considered in the study are discussed to clarify research trends. Furthermore, the research implications are outlined and contribute to future CBML implementation arrangements.

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29 penulis · 71 tautan kepenulisan bersama · 53 lintas organisasi

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  • IKIP Siliwangi
  • Universitas Katolik Indonesia Santu Paulus Ruteng
  • Johannes Kepler University of Linz
  • Beijing Normal University
  • Riau University
  • University of Timor
  • Indonesia Open University
  • Organisasi lain
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
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Rekan penulisOrganisasiArtikel bersama
Wahyu HidayatIKIP Siliwangi2
Riyan HidayatUniversiti Putra Malaysia1
Ardi Dwi SusandiIndonesia Open University1
Ebenezer BonyahUniversity of Skills Training and Entrepreneurial Development1
SudirmanAfiliasi tidak diketahui1
Masta HutajuluIKIP Siliwangi1
Muhammad AfriliantoIKIP Siliwangi1
Tina RosyanaIKIP Siliwangi1
Linda LindaIKIP Siliwangi1
Corrienna Abdul TalibUniversity of Technology Malaysia1
Neni HermitaRiau University1
Jesi Alexander AlimRiau University1
Milton RosaUniversidade Federal de Ouro Preto1
Yohanis Ndapa DedaUniversity of Timor1
Hermina DisnawatiUniversity of Timor1
Zsolt LaviczaJohannes Kepler University of Linz1
Herdian HerdianMuhammadiyah University Purwokerto1
Shile ChangBeijing Normal University1
Houssam KastiQatar University1
Guillermo BautistaUniversity of the Philippines Diliman1
Heris HendrianaIKIP Siliwangi1
Xiaoying ChenChina West Normal University1
Lilla KoreňováComenius University Bratislava1

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Sumber metadata: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2460-9285/works, pertama di-harvest 28 Okt 2026, terakhir terlihat 8 Nov 2026.
Metadata sebagai oai_dc, dikonversi dari 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>META-ANALYSIS OF COMPUTER-BASED MATHEMATICS LEARNING IN THE LAST DECADE SCOPUS DATABASE: TRENDS AND IMPLICATIONS</dc:title><dc:creator>Tamur, Maximus</dc:creator><dc:creator>Ndiung, Sabina</dc:creator><dc:creator>Weinhandl, Robert</dc:creator><dc:creator>Wijaya, Tommy Tanu</dc:creator><dc:creator>Jehadus, Emilianus</dc:creator><dc:creator>Sennen, Eliterius</dc:creator><dc:description>&lt;jats:p&gt;Computer-Based Mathematics Learning (CBML) has gone global in the last decade and is making a substantial impact for educational purposes. But the fact is that in the scientific literature, it is found that studies aimed at testing these theoretical assumptions have inconsistent results. In this regard, this meta-analysis was conducted to determine the effect of CBML and to analyze categorical variables to consider the implications. Data were retrieved from the Scopus database using Publish or Perish between 2010 and 2023. This study examined 29 independent samples from 28 eligible primary studies with 1179 subjects. The population estimate was based on a random effects model, and the CMA software was used as a calculation aid. The study's results provide an overall effect size of 1.03 (large effect). This indicates that applying CBML significantly affects students' mathematical abilities. The four categorical variables considered in the study are discussed to clarify research trends. Furthermore, the research implications are outlined and contribute to future CBML implementation arrangements.&lt;/jats:p&gt;</dc:description><dc:publisher>IKIP Siliwangi Bandung</dc:publisher><dc:date>2023-02-28</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.22460/infinity.v12i1.p101-116</dc:identifier><dc:identifier>10.22460/infinity.v12i1.p101-116</dc:identifier><dc:source>Infinity Journal; Vol 12 No 1 (2023); 101</dc:source><dc:source>2460-9285</dc:source><dc:source>2089-6867</dc:source><dc:relation>http://e-journal.stkipsiliwangi.ac.id/index.php/infinity/article/viewFile/3763/1550</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>