RAMADHANI, AZNA PUTRI and Pratiwi, Weni Dwi (2024) ANALISIS PENERAPAN PEMBELAJARAN BERBASIS AI (ARTIFICIAL INTELLIGENCE) UNTUK MELIHAT KEMAMPUAN BERPIKIR ALJABAR SISWA SMP PADA MATERI SISTEM PERSAMAAN LINIER DUA VARIABEL. Undergraduate thesis, Sriwijaya University.
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Abstract
This research aims to analyze the application of artificial intelligence (AI)-based learning to junior high school students' algebraic thinking skills in two-variable linear equation systems (SPLDV) material. The research method used was an experiment with a control group design. The instruments used were algebraic thinking ability tests and students perception questionnaires. The research sample consisted of 34 students in the experimental class which used AI-based learning and 31 students in the control class which used conventional methods. The hypothesis test used was the t test because the data was normally distributed and homogeneous. The t test showed that there was a significant difference between the experimental class and the control class, students who received AI-based learning had better algebraic thinking skills than students who received conventional learning. Furthermore, the survey results show that the majority of students responded positively to the use of AI in SPLDV learning. Based on these results, AI-based learning appears to be effective in improving students' algebraic thinking skills
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Pembelajaran Berbasis AI, Kemampuan Berpikir Aljabar, SPLDV |
Subjects: | Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. Q Science > QA Mathematics > QA150-272.5 Algebra > QA169.A65 Categories (Mathematics)--Periodicals. Algebra--Periodicals. Mathematical analysis--Periodicals. Topology--Periodicals. Computer science--Periodicals |
Divisions: | 06-Faculty of Education and Educational Science > 84202-Mathematics Education (S1) |
Depositing User: | Azna Putri Ramadhani |
Date Deposited: | 16 Jan 2025 03:18 |
Last Modified: | 16 Jan 2025 03:18 |
URI: | http://repository.unsri.ac.id/id/eprint/165017 |
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