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The Correlation Between Students' Learning Technique and Students' Mathematics Achievement Sigamura, Radha Krisnamurti; Herawati
IJLHE: International Journal of Language, Humanities, and Education Vol. 8 No. 1 (2025): IJLHE: International Journal of Language, Humanities, and Education
Publisher : Master Program in Indonesian Language Education and The Institute for Research and Community Service STKIP PGRI Bandar Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52217/ijlhe.v8i1.1781

Abstract

This study addresses a critical gap in STEM education literature by empirically investigating the underexplored relationship between structured learning techniques and mathematics achievement in Indonesian engineering education—a context with limited prior research despite documented pedagogical challenges. Using a quantitative correlational design, we examined 100 engineering students at Musi Rawas University through triangulated data collection: structured interviews (14-item protocol), observational checklists (10-point behavioral scale), and institutional academic records. Participants were purposively sampled and categorized into structured (n=68) and unstructured (n=32) learners based on a validated 10-point analytical rubric (inter-rater reliability κ=0.87). Data analysis employed Pearson correlation, t-tests, and regression modeling. Findings revealed a robust positive correlation between structured techniques (concept mapping, scheduled reviews) and mathematics achievement (r = .79, p < .001), accounting for 62.4% of variance (R² = .624). Structured learners significantly outperformed peers (84.1 vs. 61.5; t(98) = 12.6, p < .001), with concept mapping identified as the highest-impact strategy (β = .42). Notably, cramming demonstrated significant negative correlations (r = −.67, p < .01). These results substantiate cognitive load theory while highlighting the 32% prevalence of ineffective techniques—a key pedagogical concern. The study implies that embedding structured strategy training (e.g., concept mapping scaffolding) into engineering curricula could elevate mathematics performance by 20–30%. Limitations include single-institution sampling and self-reporting biases, warranting future multi-institutional validation. This research provides actionable evidence for optimizing STEM learning processes in Indonesian contexts
The Correlation Between Students' Learning Technique and Students' Mathematics Achievement Sigamura, Radha Krisnamurti; Herawati
IJLHE: International Journal of Language, Humanities, and Education Vol. 8 No. 1 (2025): IJLHE: International Journal of Language, Humanities, and Education
Publisher : Master Program in Indonesian Language Education and The Institute for Research and Community Service STKIP PGRI Bandar Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52217/ijlhe.v8i1.1781

Abstract

This study addresses a critical gap in STEM education literature by empirically investigating the underexplored relationship between structured learning techniques and mathematics achievement in Indonesian engineering education—a context with limited prior research despite documented pedagogical challenges. Using a quantitative correlational design, we examined 100 engineering students at Musi Rawas University through triangulated data collection: structured interviews (14-item protocol), observational checklists (10-point behavioral scale), and institutional academic records. Participants were purposively sampled and categorized into structured (n=68) and unstructured (n=32) learners based on a validated 10-point analytical rubric (inter-rater reliability κ=0.87). Data analysis employed Pearson correlation, t-tests, and regression modeling. Findings revealed a robust positive correlation between structured techniques (concept mapping, scheduled reviews) and mathematics achievement (r = .79, p < .001), accounting for 62.4% of variance (R² = .624). Structured learners significantly outperformed peers (84.1 vs. 61.5; t(98) = 12.6, p < .001), with concept mapping identified as the highest-impact strategy (β = .42). Notably, cramming demonstrated significant negative correlations (r = −.67, p < .01). These results substantiate cognitive load theory while highlighting the 32% prevalence of ineffective techniques—a key pedagogical concern. The study implies that embedding structured strategy training (e.g., concept mapping scaffolding) into engineering curricula could elevate mathematics performance by 20–30%. Limitations include single-institution sampling and self-reporting biases, warranting future multi-institutional validation. This research provides actionable evidence for optimizing STEM learning processes in Indonesian contexts
Vektor Teknik Sipil dengan Pailkem (Pembelajaran Aktif, Inovatif, Lingkungan, Kreatif, Efektif dan Menarik) Sigamura, Radha Krisnamurti; Nurul, Dhian
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 1 (2024): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i1.21717

Abstract

There are many mathematics learning strategies that educators use to achieve more optimal results. The PAILKEM learning strategy is a learning strategy that makes it possible to achieve learning objectives. The aim of this learning is to improve understanding results. The hypothesis in this research is that there is a significant influence of the PAILKEM learning strategy (Active, Innovative, Environmental, Creative, Effective and Interesting Learning) on ??understanding vector material. This research method uses an experimental method using the True Experimental Design design. Data analysis was carried out using the t-test. The results of the research, after testing the hypothesis using the t-test with a significance level of 0.05, previously carried out a normality test and homogeneity test, obtained tcount > ttable, namely thitnug = 7.636> ttable = 1.6689 so that Ho was rejected and Ha was accepted. The conclusion of this research is that there is an influence of the PAILKEM learning strategy (Active, Innovative, Environmental, Creative, Effective and Interesting Learning) on ??understanding vector material.