Masrukan
Universitas Negeri Semarang, Indonesia

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Meaningful learning to enhance conceptual understanding, engagement, and mathematical reasoning in elementary statistics education Ema Butsi Prihastari; Wardono; Scolastika Mariani; Masrukan
Journal of Advanced Sciences and Mathematics Education Vol. 6 No. 2 (2026): Journal of Advanced Sciences and Mathematics Education
Publisher : CV. FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/jasme.v6i2.1254

Abstract

Background: Elementary school statistics education faces challenges due to students’ low conceptual understanding, often resulting from abstract and procedural teaching methods. Aims: This study aimed to examine the implementation of meaningful learning in elementary statistics, assess its effects on students’ conceptual understanding and engagement, and identify supporting and inhibiting factors. Method: A mixed-method explanatory sequential design was employed. Quantitative data were collected through perception questionnaires from 60 fifth-grade students, while qualitative data were obtained via participatory observations, semi-structured interviews, and classroom documentation involving one teacher and 15 students in a purposively selected class. Quantitative data were analyzed descriptively, and qualitative data were analyzed using the Miles and Huberman model. Results: Meaningful learning positively influenced statistics education. Mean scores were 3.42 for conceptual understanding (SD=0.51), 3.67 for material relevance (SD=0.48), 3.38 for motivation (SD=0.55), 3.25 for engagement (SD=0.62), and 3.35 for satisfaction (SD=0.58). All students (100%) agreed that the material was relevant to real-life contexts. Mini-project activities, such as the “Our Body Statistics” project, enhanced active participation. Supporting factors included teacher creativity, student enthusiasm, and a supportive learning environment; inhibiting factors included time constraints, varied student readiness, and limited contextual resources. Conclusion: Implementing meaningful learning improves conceptual understanding and engagement in elementary statistics. Contextual, experience-based approaches should be expanded with adequate teacher training and time allocation to optimize learning outcomes.
Bibliometric Analysis: Problem-Based Learning, Problem-Solving Skills, Self-Regulated Learning Assisted by Geogebra in Vocational High School Arie Setyani; Masrukan; Ary Woro Kurniasih
Indonesian Journal of Mathematics Education Vol. 8 No. 1 (2025): Indonesian Journal of Mathematics Education
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/ijome.v8i1.2274

Abstract

This study aims to analyze the bibliometric mapping of vocational high school mathematics research from 2020 to 2024 to address the research gap on problem-solving skills in the problem-based learning model assisted by GeoGebra, with a focus on students’ self-regulated learning in vocational high school. The data collected focuses on the keywords "mathematics, problem-solving, self-regulated learning, GeoGebra" to identify journals published between 2020 and 2024, using Google Scholar as the data source through Publish or Perish to gather data and Harzing's VOSviewer for bibliometric mapping. This study identified seven articles related to the keywords. The research follows the PRISMA systematic review method. The findings indicate that publications on problem-solving skills within the problem-based learning model assisted by GeoGebra, viewed from students' self-regulated learning in vocational high school, still have the potential to grow in the coming years. Moreover, problem-based learning positively impacts students' self-regulated learning and problem-solving skills in vocational high school.