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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Koordinat : Jurnal Pembelajaran Matematika dan Sains
Jusman Mansyur
Universitas Tadulako
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Mathematics Physics

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Mental Models Based on Students Thinking Style About Objects in Static Fluid Gustina; Jusman Mansyur; Wahyuni N Laratu; Rahmat Tule
Jurnal Penelitian Pendidikan IPA Vol 10 No 11 (2024): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i11.7980

Abstract

This study aims to describe a mental models based on students' thinking styles about objects in static fluids. The type of research used is quasi-qualitative with a research design using Simple Research Design (SRD). This research was carried out at MAN Insan Cendikia, Palu City for grade XII students in the 2023 academic year, with 30 students as subjects. The instruments of this research are questionnaires, two-level test and interview guide. The data analysis technique used is the "Miles and Huberman Model" namely data reduction, data modeling and drawing conclusions. The results of data analysis showed that out of 30 students, there were 8 students with a Concrete sequential (Cs) thinking style, 12 students with an Abstract sequential (As) thinking style, 6 students with a Concrete random (Cr) thinking style, and 4 students with a Abstract random (Ar) thinking style. The group tested with abstract problem tended to have a higher average score than the group tested with concrete problem. When given abstract ploblem the Abstract sequential (As) and Sequential concrete (Cs) groups had a higher average score than the Abstract random (Ar) and Concrete random (Cr) groups.
Analysis of ChatGPT and Gemini Mental Models of Apparent Motion of the Sun and Stars Nurhikma Safitri; Jusman Mansyur; Haeruddin Haeruddin; Nurul Kami Sani; Andi Ulfah Khuzaimah
Koordinat Jurnal MIPA Vol. 7 No. 1 (2026)
Publisher : Program Studi Tadris Matematika dan Tadris Ilmu Pengetahuan Alam, Fakultas Tarbiyah dan Ilmu Keguruan (FTIK), Universitas Islam Negeri (UIN) Datokarama Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24239/koordinat.v7i1.195

Abstract

mental models regarding the apparent motion of the Sun and stars. The method used is a qualitative approach with an exploratory descriptive study using the reflective thematic analysis method according to Braun, Clarke, and Rance (2014). The subjects of this study were ChatGPT and Gemini, who also acted as respondents. The instrument used was 10 multiple-choice questions about the apparent motion of celestial bodies. Each answer was analyzed thematically to identify reasoning patterns, conceptual structures, and conformity with scientific mental models. The results show that ChatGPT predominantly displays a scientific mental model consistent with a heliocentric understanding and scientific explanation of apparent motion, while Gemini tends to display a hybrid mental model with a mixture of scientific concepts and preconceptions. The comparison of the two shows differences in conceptual depth, consistency of reasoning, and accuracy of scientific representation. These findings contribute to the development of the study of artificial intelligence mental models and open up opportunities for their use in AI-based science learning
Co-Authors Andi Ulfah Khuzaimah Gustina Haeruddin Haeruddin Nurhikma Safitri Rahmat Tule Sani, Nurul Kami Wahyuni N Laratu