Three paradigms in developing students’ statistical reasoning
Tipo de documento
Autores
Lista de autores
Ben-Zvi, Dani
Resumen
This article is a reflection on more-than-a-decade research in the area of statistics education in upper primary school (grades 4-6, 10-12 years old). The goal of these studies was to better understand young students’ statistical reasoning as they were involved in authentic data investigations and simulations in a technology-enhanced learning environment entitled Connections. The article describes three main paradigms that guided our educational and academic efforts: EDA, ISI, and Modeling. The first, EDA, refers to Exploratory Data Analysis – children investigate sample data they collected without making explicit inferences to a larger population. The second, ISI, refers to Informal Statistical Inference – children make inferences informally about a larger population than the sample they have at hand. The third, Modeling-children use computerized tools to model the phenomenon they study, and simulate many random samples from that model to study statistical ideas. In each of these three paradigms, we provide a short rationale, an example of students’ products, and learned lessons. To conclude, current challenges in statistics education are discussed in light of these paradigms.
Fecha
2016
Tipo de fecha
Estado publicación
Términos clave
Enfoque
Nivel educativo
Idioma
Revisado por pares
Formato del archivo
Título libro actas
Editores (actas)
Estrella, Soledad | Goizueta, Manuel | Guerrero, Carolina | Mena, Arturo | Mena, Jaime | Montoya, Elizabeth | Morales, Astrid | Parraguez, Marcela | Ramos, Elizabeth | Vásquez, Patricia | Zakaryan, Diana
Lista de editores (actas)
Estrella, Soledad, Goizueta, Manuel, Guerrero, Carolina, Mena, Arturo, Mena, Jaime, Montoya, Elizabeth, Morales, Astrid, Parraguez, Marcela, Ramos, Elizabeth, Vásquez, Patricia y Zakaryan, Diana
Editorial (actas)
Lugar (actas)
Rango páginas (actas)
13-22
ISBN (actas)
Referencias
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