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All Journal JPMI (Jurnal Pembelajaran Matematika Inovatif)
Rifdah Qultum Nada
IKIP Siliwangi
Mathematics

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Deep learning for enhancing mathematical reasoning skills in vocational high school students Rifdah Qultum Nada; Alvina Delicia Irawan
JPMI (Jurnal Pembelajaran Matematika Inovatif) Vol. 9 No. 1s (2026): Special Issue
Publisher : IKIP Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/jpmi.v9i1s.30912

Abstract

Mathematical reasoning ability is an essential competence in mathematics learning, as it enables students to analyse patterns, formulate conjectures, construct logical arguments, and draw systematic conclusions. However, studies indicate that this ability, particularly among vocational high school (SMK) students, remains relatively low due to learning practices that emphasize procedures and formula memorization rather than deep conceptual understanding. Therefore, an appropriate learning approach is needed to promote critical and reflective thinking. This study aims to examine the effectiveness of the Deep Learning approach in improving the mathematical reasoning abilities of tenth-grade vocational high school students. A quantitative approach with an experimental method and a pretest–post-test control group design was employed. The subjects consisted of two classes selected through cluster random sampling: an experimental class receiving the Deep Learning approach and a control class receiving conventional instruction. The instrument was a mathematical reasoning test administered before and after learning. Data were analysed using descriptive statistics, followed by normality, homogeneity, and t-tests. The results showed that the experimental class achieved a higher average post-test score, with a significance value of 0.000 < 0.05, indicating a significant difference. Thus, the Deep Learning approach is effective in improving students’ mathematical reasoning abilities
Peningkatan kemampuan penalaran matematis siswa SMP: Study pengembangan media pembelajaran interaktif canva dengan model discovery learning Rifdah Qultum Nada; Anik Yuliani; Tina Rosyana
JPMI (Jurnal Pembelajaran Matematika Inovatif) Vol. 9 No. 3 (2026): JPMI
Publisher : IKIP Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/jpmi.v9i3.31936

Abstract

This investigation centers on the creation of interactive educational resources utilizing Canva, specifically those integrated with the Discovery Learning model. Furthermore, the study examines the media's validity, ease of use, and effectiveness in enhancing the mathematical reasoning capabilities of junior high school students. The chosen research methodology is R&D (Research and Development), which adheres to the ADDIE model. Data collection involved expert validation sheets, student response questionnaires, and mathematical reasoning ability assessment instruments in the form of pretests and posttests. The results verification indicated that the developed media achieved a "very good" standard and was suitable for use in teaching and learning environments. The implementation of this media demonstrated an increase in mathematical reasoning abilities among students in the experimental group, notably outperforming students in the control group. Based on statistical analysis, it can be concluded that the Canva-based interactive learning media, which incorporates the Discovery Learning model, has proven effective in improving the mathematical reasoning skills of junior high school students.
Co-Authors Alvina Delicia Irawan Anik Yuliani Tina Rosyana