Ramlah Ramlah
Universitas Singaperbangsa Karawang, Indonesia

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EFFECTIVENESS OF DEEP LEARNING BASED ON PROBLEM-BASED LEARNING ON STUDENTS' CRITICAL THINKING IN BRAIN ROT CONTEXT Talenta Valentina Christi; Ramlah Ramlah; Indra Budiman
EMTEKA: Jurnal Pendidikan Matematika Vol. 7 No. 2 (2026): Article In Press
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/emteka.v7i2.11841

Abstract

Mathematical critical thinking skills are essential competencies in mathematics education, yet their development among students remains suboptimal. This condition is compounded by the brain rot phenomenon arising from excessive digital content consumption and the dominance of conventional teaching practices that offer limited opportunities for deep cognitive engagement. This study aimed to analyze differences in the improvement of mathematical critical thinking skills between students taught through Deep Learning-oriented instruction using the Problem Based Learning (PBL) model and those taught through Teacher-Centered Learning (TCL) using the Direct Instruction model, while also describing students' critical thinking profiles based on gadget-use intensity categories. A quasi-experimental method with a Nonequivalent Pretest–Posttest Control Group Design was employed. Participants comprised 92 tenth-grade students from SMA Negeri 2 Cileungsi, with 45 students in the experimental class and 47 in the control class, selected through purposive sampling. Data were collected via essay tests measuring mathematical critical thinking skills and questionnaires assessing gadget-use intensity. Analysis was conducted using the Shapiro–Wilk normality test, Levene's homogeneity test, and an independent samples t-test. Results indicated a significant difference in the improvement of mathematical critical thinking skills between groups (t = −7.715; p = 0.000 < 0.05), favoring the PBL class. Additionally, students with high gadget-use intensity recorded lower mean pretest scores (47.73) compared to moderate (56.08) and low (64.52) intensity groups, suggesting that the brain rot phenomenon negatively impacts students' mathematical critical thinking skills.
MATHEMATICAL REASONING CHARACTERISTICS ACROSS ABILITY LEVELS IN METACOGNITIVE-BASED DEEP LEARNING Rivka Larose Lubis; Ramlah Ramlah; Indra Budiman
EMTEKA: Jurnal Pendidikan Matematika Vol. 7 No. 2 (2026): Article In Press
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/emteka.v7i2.11880

Abstract

Mathematical reasoning ability is an essential competency in mathematics learning; however, many students still experience difficulties in constructing arguments, applying concepts, and drawing logical conclusions. Metacognitive-based deep learning is expected to support reasoning development by encouraging students to plan, monitor, and evaluate their thinking processes. This study aimed to describe the characteristics and levels of junior high school students’ mathematical reasoning ability in a metacognitive-based deep learning environment. A descriptive quantitative approach was employed involving 31 seventh-grade students of SMP Yos Sudarso Karawang. Data were collected through a mathematical reasoning test consisting of two essay items based on four indicators: making conjectures, applying mathematical concepts, carrying out logical procedures, and drawing conclusions. The instrument met the criteria of validity, reliability, discrimination index, and difficulty index. The results showed that 6.45% of students were categorized as high, 70.97% as medium, and 22.58% as low. High-level students fulfilled all reasoning indicators, medium-level students showed weaknesses in procedures and conclusions, and low-level students experienced difficulties in concepts, procedures, and conclusions. These findings provide a deeper understanding of students’ mathematical reasoning characteristics across ability levels and may inform more reflective mathematics instruction. Kemampuan penalaran matematis merupakan kompetensi penting dalam pembelajaran matematika, namun masih banyak peserta didik yang mengalami kesulitan dalam menyusun argumen, menerapkan konsep, dan menarik kesimpulan secara logis. Deep learning berbasis metakognitif diharapkan dapat mendukung pengembangan penalaran melalui kegiatan merencanakan, memantau, dan mengevaluasi proses berpikir. Penelitian ini bertujuan untuk mendeskripsikan karakteristik dan level kemampuan penalaran matematis peserta didik SMP dalam pembelajaran deep learning berbasis metakognitif. Penelitian menggunakan pendekatan deskriptif kuantitatif dengan melibatkan 31 peserta didik kelas VII SMP Yos Sudarso Karawang. Data dikumpulkan melalui tes kemampuan penalaran matematis yang terdiri atas dua soal uraian berdasarkan empat indikator. Instrumen telah memenuhi kriteria validitas, reliabilitas, daya pembeda, dan indeks kesukaran. Hasil penelitian menunjukkan bahwa 6,45% peserta didik berada pada level tinggi, 70,97% pada level sedang, dan 22,58% pada level rendah. Peserta didik pada level tinggi memenuhi seluruh indikator penalaran, peserta didik pada level sedang masih menunjukkan kelemahan pada prosedur dan kesimpulan, sedangkan peserta didik pada level rendah mengalami kesulitan dalam konsep, prosedur, dan kesimpulan. Temuan ini memberikan pemahaman yang lebih mendalam mengenai karakteristik penalaran matematis pada setiap level kemampuan dan dapat menjadi pertimbangan dalam pembelajaran matematika yang lebih reflektif.