Integrating traditional food and technology in statistical learning: A learning trajectory

In the 21st century, understanding variability and developing statistical investigation skills are crucial for enhancing students' data literacy. However, these essential skills are often overlooked, limiting students' growth in numeracy whereby statistical problems are frequently disconnected from real-world or cultural contexts, reducing student engagement. To address this issue, this study integrates the culturally relevant context of Lemang Batok, which enhances students' ability to understand, apply, and analyze data through appropriate statistical concepts. The research uses an ethno-flipped classroom model that promotes flexible, collaborative learning, aiming to design a learning trajectory for teaching descriptive statistics in this context to improve numeracy skills. Utilizing design research methodology, specifically a validation study, the research followed three phases: preliminary design, experimental design, and retrospective analysis. The subjects were junior high school students from Medan and Binjai Cities, North Sumatera-Indonesia. The results indicated that the learning trajectory developed through tiered discussions significantly improved students' numeracy skills in descriptive statistics, as evidenced by increased critical thinking and enhanced abilities to analyze variability.

Authors

Publication Details

Journal
Journal on Mathematics Education
Published
2024-11-20
DOI
https://doi.org/10.22342/jme.v15i4.pp1277-1310
Citations
1
Primary Topic
Statistics Education and Methodologies
Type
article
Field-Weighted Citation Impact
0.71
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article

Integrating traditional food and technology in statistical learning: A learning trajectory

Rahmi Ramadhani, Rully Charitas Indra Prahmana, Soeharto, Alfa Saleh
1 citations
Journal on Mathematics Education
Statistics Education and Methodologies
0.71
article

Integrating traditional food and technology in statistical learning: A learning trajectory

Rahmi Ramadhani, Rully Charitas Indra Prahmana, Soeharto, Alfa Saleh
article en
1 citations

Abstract

In the 21st century, understanding variability and developing statistical investigation skills are crucial for enhancing students' data literacy. However, these essential skills are often overlooked, limiting students' growth in numeracy whereby statistical problems are frequently disconnected from real-world or cultural contexts, reducing student engagement. To address this issue, this study integrates the culturally relevant context of Lemang Batok, which enhances students' ability to understand, apply, and analyze data through appropriate statistical concepts. The research uses an ethno-flipped classroom model that promotes flexible, collaborative learning, aiming to design a learning trajectory for teaching descriptive statistics in this context to improve numeracy skills. Utilizing design research methodology, specifically a validation study, the research followed three phases: preliminary design, experimental design, and retrospective analysis. The subjects were junior high school students from Medan and Binjai Cities, North Sumatera-Indonesia. The results indicated that the learning trajectory developed through tiered discussions significantly improved students' numeracy skills in descriptive statistics, as evidenced by increased critical thinking and enhanced abilities to analyze variability.

Journal on Mathematics EducationVol. 15(4)
Quality Education
Openalex Percentile: Top 23%
Statistics Education and Methodologies
0.71
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Integrating traditional food and technology in statistical learning: A learning trajectory — Rahmi Ramadhani, Rully Charitas Indra Prahmana, et al. · Journal on Mathematics Education (2024) | TGRS Research Map | TGRS