Universitas Syiah Kuala | ELECTRONIC THESES AND DISSERTATION

Electronic Theses and Dissertation

Universitas Syiah Kuala

    THESES
Cut Fadza Sadida, PENGEMBANGAN LOCAL INSTRUCTION THEORY BERBASIS DEEP LEARNING DENGAN BANTUAN GEOGEBRA UNTUK MENDUKUNG KETERAMPILAN BERPIKIR KRITIS SISWA PADA MATERI FUNGSI KUADRAT.. Banda Aceh Program Studi Magister Pendidikan Matematika,2026

Penelitian ini bertujuan untuk mengembangkan local instruction theory (lit) berbasis deep learning dengan bantuan geogebra untuk mendukung keterampilan berpikir kritis siswa pada materi fungsi kuadrat. lit disusun menggunakan pendekatan penelitian desain, yang terdiri dari tiga tahap: persiapan eksperimen, eksperimen pengajaran, dan analisis retrospektif. partisipan terdiri dari 68 siswa sma, peneliti sendiri dan guru matematika. data dikumpulkan melalui observasi, wawancara, dan kuesioner, yang kemudian dianalisis secara deskriptif. temuan menunjukkan bahwa lit melibatkan beberapa kegiatan. kegiatan tersebut meliputi merepresentasikan fungsi kuadrat dalam konteks lintasan air, menyusun fungsi kuadrat, menggambar fungsi kuadrat, menemukan pengaruh nilai “a” pada grafik fungsi kuadrat y=ax^2+bx+c menggunakan geogebra, menemukan pengaruh nilai “a dan b” pada grafik fungsi kuadrat y=ax^2+bx+c menggunakan geogebra, menemukan pengaruh nilai “c” pada grafik fungsi kuadrat y=ax^2+bx+c menggunakan geogebra, menemukan pengaruh nilai “diskriminan” pada grafik fungsi kuadrat menggunakan geogebra. siswa merespons pembelajaran secara positif. oleh karena itu, para pendidik didorong untuk menerapkan lit melalui deep learning guna membantu keterampilan berpikir kritis siswa.



Abstract

This study aims to develop a Local Instruction Theory (LIT) based on Deep Learning with the support of GeoGebra to enhance students’ critical thinking skills in learning quadratic functions. The LIT was designed using a design research approach consisting of three stages: preparation of the experiment, teaching experiments, and retrospective analysis. The participants included 68 high school students, the researcher, and mathematics teachers. Data were collected through observations, interviews, and questionnaires and were analyzed descriptively. The results indicate that the developed LIT comprises several learning activities, including representing quadratic functions in the context of water trajectories, constructing quadratic function equations, sketching quadratic function graphs, and exploring the effects of the coefficients on the graph of the quadratic function using GeoGebra. Specifically, students investigated the effect of the coefficient a on the graph of y=ax^2+bx+c, the combined effects of coefficients a and b, the effect of the constant c, and the effect of the discriminant on the characteristics of the quadratic function graph. Overall, students responded positively to the learning activities. Therefore, educators are encouraged to implement Deep Learning based LIT with the support of GeoGebra to foster students’ critical thinking skills.



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