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Investigating the use of ChatGPT to solve a GeoGebra based mathematics+computational thinking task in a geometry topic

Journal on Mathematics Education · Vol. 15 No. 3 (2024) · hlm. 1027–1052

DOI
10.22342/jme.v15i3.pp1027-1052
ISSN
2407-0610, 2087-8885
Terbit
2024-09-06
Penerbit
Indonesian Mathematical Society
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

ChatGPT is a chatbot with potential educational benefits, particularly in enhancing computational thinking (CT) proficiencies such as programming, debugging, and algorithmic thinking for students. Despite its promise, there is limited research on how ChatGPT can specifically support the integration of CT into mathematics education using tools like GeoGebra. The researchers implemented plugged-computational thinking in mathematics (Math+CT) lessons by means of the utilization of GeoGebra, an application that requires students to input commands in order to generate mathematical objects. The present investigation employed an educational design research (EDR) methodology in which the researchers incorporate ChatGPT into our Math+CT lessons to assist students in accomplishing the task. We purposely selected the participants who are mainly postgraduate students and collected data from the participants’ conversation with ChatGPT and recorded their screens while interacting with ChatGPT and our Math+CT task. We analyzed the data through descriptive qualitative method on the participants’ prompts, the final codes and the number of iterations. The researchers examined how ChatGPT could be utilized to assist the participants in writing GeoGebra commands in terms of its benefits and limitations. ChatGPT assisted most participants in completing the task successfully, with only a basic need for proficiency in GeoGebra commands, mathematics, and critical thinking. However, it revealed that participants did not yet utilize an affective prompt to ChatGPT. Furthermore, ChatGPT has the potential to be utilized for differentiated instruction due to the fact that its responses to individual users vary significantly based on the input prompts. Limited understanding of basic GeoGebra commands, and mathematical concepts could hinder the participants from training ChatGPT or prevent them from arguing with ChatGPT. This study enhances the existing literature by illustrating that ChatGPT can facilitate critical CT aspects, including programming and debugging, in a mathematics education context. This suggests that AI tools such as ChatGPT can contribute to the development of independent problem-solving skills, provide tailored support based on the needs of individual students, and enhance personalized learning experiences. Additional research involving students in school is required in order to gain a deeper understanding of the integration of ChatGPT into Math+CT lessons.

Jaringan kolaborasi para penulis

34 penulis · 98 tautan kepenulisan bersama · 67 lintas organisasi

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  • Johannes Kepler University of Linz
  • State University of Semarang
  • SEAMEO Regional Centre for QITEP in Mathematics
  • University of Szeged
  • Universidade Federal de Ouro Preto
  • Muhammadiyah University Purwokerto
  • State University of Medan
  • Organisasi lain
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Rully Charitas Indra PrahmanaUniversitas Ahmad Dahlan3
Soeharto SoehartoUniversity of Szeged2
Milton RosaUniversidade Federal de Ouro Preto1
Daniel Clark OreyUniversidade Federal de Ouro Preto1
Cosette CrisanUniversity College London1
Edith LindenbauerUniversity of Education Upper Austria1
Eva-Maria InfangerJohannes Kepler University of Linz1
Miftahul HidayahSEAMEO Regional Centre for QITEP in Mathematics1
Pasttita Ayu LaksmiwatiJohannes Kepler University of Linz1
Eva SchmidthalerJohannes Kepler University of Linz1
Bárbara SabitzerJohannes Kepler University of Linz1
Yohanes Leonardus SukestiyarnoState University of Semarang1
Adi Nur CahyonoState University of Semarang1
Setiyani SetiyaniUniversitas Swadaya Gunung Jati1
Stevanus Budi WaluyaState University of Semarang1
Gunawan GunawanMuhammadiyah University Purwokerto1
Mutia MutiaInstitut Agama Islam Negeri Curup1
Rahmi RamadhaniAfiliasi tidak diketahui1
Fitria ArifiyantiUniversity of Szeged1
Edi SyahputraState University of Medan1
Elmanani SimamoraState University of Medan1
Tommy Tanu WijayaBeijing Normal University1
Herdian HerdianMuhammadiyah University Purwokerto1
Shile ChangBeijing Normal University1
Houssam KastiQatar University1
Guillermo BautistaUniversity of the Philippines Diliman1
Daniel JarvisAfiliasi tidak diketahui1
Andri SetiyawanJohannes Kepler University of Linz1
B. BasyirunState University of Semarang1
Jan VaněkUniversity of Ostrava1

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Sumber metadata: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2407-0610/works, pertama di-harvest 28 Okt 2026, terakhir terlihat 8 Nov 2026.
Metadata sebagai oai_dc, dikonversi dari Crossref
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