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All Journal Tadris: Jurnal keguruan dan Ilmu Tarbiyah APOTEMA : Jurnal Program Studi Pendidikan Matematika Asimtot : Jurnal Kependidikan Matematika JagoMIPA: Jurnal Pendidikan Matematika dan IPA Kognitif: Jurnal Riset HOTS Pendidikan Matematika Jurnal Pengabdian kepada Masyarakat (Ngabdimas) KOLONI JME (Journal of Mathematics Education) IndoMath: Indonesia Mathematics Education Bima Journal of Elementary Education International Journal of Didactic Mathematics in Distance Education Jurnal Pendidikan dan Teknologi Pembelajaran Matematika
Indahwati, Rohmah
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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Dampak Research-Based Learning Berbasis ChatGPT Terhadap Kemampuan Berpikir Kreatif dalam Menyelesaikan Masalah Mahasiswa Basri, Hasan; Indahwati, Rohmah; Septiadi, Dimas Danar
Bima Journal of Elementary Education Vol. 3 No. 1 (2025): Bima Journal of Elementary Education
Publisher : STKIP Taman Siswa Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37630/bijee.v3i1.2647

Abstract

This study aims to examine the impact of ChatGPT-based Research-Based Learning on students' creative thinking skills in problem solving. A mixed-methods approach was used with an experimental design involving two groups: an experimental group that used ChatGPT in research-based learning, and a control group that followed traditional learning. Data were collected through creative thinking tests given before and after the intervention, and analyzed using an Independent Samples T-Test. The results showed that the experimental group experienced a significant improvement in creative thinking skills with a higher average posttest score compared to the control group. The t-test showed a p-value of <0.001, which indicates a very significant difference between the two groups. This study confirms that ChatGPT-based Research-Based Learning is effective in stimulating students' creativity in problem solving, as well as making a positive contribution to the development of critical and innovative thinking skills. Thus, the use of ChatGPT in higher education can be a relevant and effective learning model for improving students' creative thinking skills.
Students' Mathematical Argumentation with the Visualizer Cognitive Style in Proving the Congruence of Triangles Indahwati, Rohmah; Basri, Hasan
JagoMIPA: Jurnal Pendidikan Matematika dan IPA Vol. 4 No. 1 (2024): JagoMIPA: Jurnal Pendidikan Matematika dan IPA
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/jagomipa.v4i1.453

Abstract

The use of axiomatic deductiveism, perception problems, mathematical visual representations and how students convey arguments as a bridge in proving geometric problems are obstacles that are often faced by students. This research aims to describe how prospective mathematics teacher students who have a visualiser cognitive style convey their mathematical arguments in explaining proofs related to triangle congruence. The subjects of this research were selected from students who have a visualizer cognitive style who had previously been given a cognitive style questionnaire. The research subjects consisted of 3 subjects, each with high (S1), medium (S2) and low (S3) mathematics abilities. Data were analyzed using Toulmin argumentation components. The research results show that S1 provides proof based on correct claims, providing fairly complete data both from the question statement and additional data resulting from the subject's reasoning which is used to decide on the claim. The subject uses several warrants and is supported by logical backing to connect the data with the claim. For S2 and S3 to provide final answers or false claims, they have incomplete data as a basis for deciding claims because the subject is mistaken in representing the image and is deep in mathematical literacy related to errors in describing the visualization in the image.
Co-Authors Aini, Septi Dariyatul Amalia, Laili Dian Kurniati Dwi Kurniati Dwi Rosita Sari, Dwi Rosita García-García, Javier Hafsi, Ainur Rofiq Hasan Basri Hasan Basri Indriati Hasanah, Sri Jannah, Ukhti Raudhatul Nuritasari, Fetty Puguh Darmawan Rifanda, Akhmad Riski Rodríguez-Nieto, Camilo Andrés Rudiyanto, Mohammad Saleh, Sitti Fithriani Septiadi, Dimas Danar Tonra, Wilda Syam Yahya, Farida Hanim Yuliarsih Yuliarsih, Yuliarsih Yuliono, Iwan