StatCom Android Mobile-Based Teaching Materials: Enhancing Statistical Reasoning

Statistical reasoning is a crucial mathematical competency that students often lack. While there have been studies on the use of Android teaching materials in statistics learning, few have focused on statistical reasoning using comic media. This study aimed to develop mobile Android-based teaching materials called StatCom to enhance students’ statistical reasoning in schools. The ADDIE framework was employed for this purpose. The study involved 40 high school students (aged 15-17 years) in Indramayu, Indonesia. The main instruments included teaching materials based on mobile Android StatCom and statistical reasoning questions. Data analysis techniques, such as paired sample t-tests, were used. The results indicated that students benefited from interactive teaching materials like mobile Android StatCom. The teaching materials and supporting instruments demonstrated validity (tobs = 5,784 > ttable = 1,777 for pretest and tobs = 5,114 > ttable = 1,721 for post-test) and reliability (rpre = 0,777 and rpost = 0,745). The trial results confirmed the feasibility and practicality of the mobile Android StatCom-based teaching materials. Furthermore, the implementation of these materials effectively optimized students’ statistical reasoning (t value = 15,686 with a significance value of 0,000). Future research could explore the impact of mobile Android StatCom-based teaching materials on overall competence.

Authors

Institutions

Publication Details

Journal
European Journal of STEM Education
Published
2025-10-08
DOI
https://doi.org/10.20897/ejsteme/17238
Primary Topic
Mobile Learning in Education
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

StatCom Android Mobile-Based Teaching Materials: Enhancing Statistical Reasoning

Yaya Sukjaya Kusumah, Dadan Dasari, Dadang Juandi, Farid Gunadi
European Journal of STEM Education
Mobile Learning in Education
article

StatCom Android Mobile-Based Teaching Materials: Enhancing Statistical Reasoning

Yaya Sukjaya Kusumah, Dadan Dasari, Dadang Juandi, Farid Gunadi
article en

Abstract

Statistical reasoning is a crucial mathematical competency that students often lack. While there have been studies on the use of Android teaching materials in statistics learning, few have focused on statistical reasoning using comic media. This study aimed to develop mobile Android-based teaching materials called StatCom to enhance students’ statistical reasoning in schools. The ADDIE framework was employed for this purpose. The study involved 40 high school students (aged 15-17 years) in Indramayu, Indonesia. The main instruments included teaching materials based on mobile Android StatCom and statistical reasoning questions. Data analysis techniques, such as paired sample t-tests, were used. The results indicated that students benefited from interactive teaching materials like mobile Android StatCom. The teaching materials and supporting instruments demonstrated validity (tobs = 5,784 > ttable = 1,777 for pretest and tobs = 5,114 > ttable = 1,721 for post-test) and reliability (rpre = 0,777 and rpost = 0,745). The trial results confirmed the feasibility and practicality of the mobile Android StatCom-based teaching materials. Furthermore, the implementation of these materials effectively optimized students’ statistical reasoning (t value = 15,686 with a significance value of 0,000). Future research could explore the impact of mobile Android StatCom-based teaching materials on overall competence.

European Journal of STEM EducationVol. 10(1)
Indonesia University of Education (ID), Universitas Wiralodra (ID)
Universitas Pendidikan Indonesia
Openalex Percentile: Top 59%
Mobile Learning in Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.