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Integrating GeoGebra into the flipped learning approach to improve students' self-regulated learning during the covid-19 pandemic

Journal on Mathematics Education · Vol. 13 No. 1 (2022) · pp. 69–86

DOI
10.22342/jme.v13i1.pp69-86
ISSN
2407-0610, 2087-8885
Published
2022-01-28
Publisher
Indonesian Mathematical Society
License
creativecommons.org/licenses/by/4.0

Abstract

The Covid-19 pandemic has forced an immediate transition from face-to-face learning in classrooms to online learning, including math learning. Mathematics with abstract working objects is not easy to learn online. So, an excellent self-regulated learning ability is required. So far, many efforts have been made to improve self-regulated learning in mathematics learning. However, there are still gaps in improving students' self-regulated learning ability in online mathematics learning, especially in relation to the integration of GeoGebra into the Flipped Learning approach. The purpose of this study is to examine the effectiveness of integrating GeoGebra into the Flipped Learning approach to improve students' self-regulated learning ability in learning mathematics online during the Covid-19 pandemic. This research is a quasi-experimental study with a pretest-posttest control group design to compare the effectiveness of a GeoGebra-integrated Flipped Learning approach. A conventional Flipped Learning approach and a conventional learning approach increase students' self-regulated learning level in constructing their understanding of mathematical concepts during online learning in the Covid-19 pandemic. The study involved 60 students randomly selected from one of Indonesia's private universities. They were divided into three groups representing each approach. Pretest and posttest results were quantitatively analyzed using Normalized Gain (N-Gain) Score, Cohen's d effect size, and statistical descriptive. The analysis results revealed that GeoGebra-integrated Flipped Learning is more effective in increasing students' self-regulated learning level in online mathematics learning than the other two approaches. It is expected that the results of this study can provide insights into alternative solutions for improving the quality of online mathematics learning by increasing the level of self-regulated learning of students.

Collaboration network of the authors

40 authors · 112 co-authorship links · 44 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.

  • Muhammadiyah University of Surakarta
  • Universitas Muhammadiyah Madiun
  • National Research and Innovation Agency
  • King Abdulaziz University
  • University of Szeged
  • University of Malaya
  • Johannes Kepler University of Linz
  • 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
Sofyan AnifMuhammadiyah University of Surakarta6
Rafiza Abdul RazakUniversity of Malaya3
Miftachul HudaAffiliation unknown3
Muhammad Luthfi HidayatKing Abdulaziz University3
Alma Yasinta Candra PratiwiMuhammadiyah University of Surakarta3
Janu ArlinwibowoNational Research and Innovation Agency2
Sutama SutamaMuhammadiyah University of Surakarta2
Anam SutopoMuhammadiyah University of Surakarta2
Bambang SumardjokoAffiliation unknown2
HUSNI MUBAROKAffiliation unknown2
Yasir SidiqKanazawa University2
A DesstyaMuhammadiyah University of Surakarta2
Siti Hajar HaliliAffiliation unknown1
Adi JufriansahAffiliation unknown1
Muhammad Noor KholidMuhammadiyah University of Surakarta1
Asyifa Nur AfiyahMuhammadiyah University of Surakarta1
Pasttita Ayu LaksmiwatiJohannes Kepler University of Linz1
Sri SutarniMuhammadiyah University of Surakarta1
Lenny Puspita DewiUniversitas Muhammadiyah Madiun1
Yan Aditya PradanaUniversitas Muhammadiyah Madiun1
Dian Ardifah IswariUniversitas Muhammadiyah Madiun1
Muhammad Qolbi ShobriAndalas University1
Citra Kusuma PratiwiUniversitas Muhammadiyah Madiun1
Yulia LinguistikaThe University of Adelaide1
D. PurwokoNational Research and Innovation Agency1
S. SupraptoNational Research and Innovation Agency1
Maram MeccawyKing Abdulaziz University1
Tariq Jamil Saifullah KhanzadaKing Abdulaziz University1
S SutamaMuhammadiyah University of Surakarta1
N. B. M. IdrusAffiliation unknown1
Sonny ZulhudaAffiliation unknown1
Mohamad AliAffiliation unknown1
Gamal Abdul Nasir ZakariaAffiliation unknown1
Fatimah YulianiAffiliation unknown1
Muhamad Halim KusumaAffiliation 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.

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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