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Zapata-Cardona, Lucía – Teaching Statistics: An International Journal for Teachers, 2023
Today's world is characterized by the extensive production of data in different scenarios that everyday citizens need to understand for their informed participation in society. With the increase in the availability of data in a society defined by the industrious production of data, the educational system needs to think of possibilities to bring…
Descriptors: Data Collection, Statistics Education, Nontraditional Education, Visual Aids
Ayhan Duygulu; María Angeles Navarro Martinez; Juan Francisco Blesa Simarro; Alina Dumitrascu; Ana Rosa Gonzalez Martinez – International Education Studies, 2025
This study focuses on describing data based school management processes in Türkiye, Spain and Romania. The study group consists of 49 participants. Maximal variation and stratified sampling were applied. For internal trustworthiness, respondent validation, data triangulation and cross check were utilized. For transferability, 'expert opinions' and…
Descriptors: Foreign Countries, Administrators, Competence, Data Collection
Mulligan, Joanne; Kirk, Melinda; Tytler, Russell; White, Peta; Capsalis, Maria – Australian Primary Mathematics Classroom, 2022
This article illustrates one of several learning sequences from the Interdisciplinary Mathematics and Science (IMS) Learning project, connecting science and mathematics learning in the primary school. Investigating Body Height involved a series of investigations conducted in Years 5 and 6 across six classes in one school. The project teachers…
Descriptors: Grade 5, Grade 6, Inquiry, Body Height
New Aspects of Working with Scientific Data: A Study with Practicing Scientists and Science Teachers
Jin, Hui; Hokayem, Hayat; Cisterna, Dante – Research in Science & Technological Education, 2023
Background: New technology and increased collaboration have revolutionized how scientists work with data. This creates a need to identify new aspects of working with scientific data that are important for K-12 students to learn. Purpose: To address this need, we conducted a study with practicing scientists and K-12 science teachers. The purpose of…
Descriptors: Scientists, Science Teachers, Elementary School Teachers, Secondary School Teachers
Baroutsis, Aspa; White, Sonia L. J.; Hamilton, Annette; Jones, Madeline; Waters, Rayelene – Australian Primary Mathematics Classroom, 2018
This article encourages approaches that develop children's understandings of data representations. In particular, when children develope flexibility in their approaches to data representation and understanding, the same data can be represented in different ways. Flexible and adaptive use of representations is part of mathematics competence which…
Descriptors: Foreign Countries, Elementary School Mathematics, Elementary School Students, Mathematics Instruction
de Oliveira, Luciana C. – International Multilingual Research Journal, 2016
The number of English language learners (ELLs) in the United States has increased dramatically. Given this increase it is vital for teacher education programs at the pre-service level and professional learning programs at eh in-service level to address the needs of ELLs. This article presents a teacher preparation model--"a language-based…
Descriptors: English Language Learners, English (Second Language), Second Language Learning, Mainstreaming
Enfield, Mark; Smith, Edward L.; Grueber, David J. – Science Education, 2008
This research reports on a study of curriculum materials development and use compared with the use of existing curriculum materials in an elementary classroom. The research explored the effect of explicit attention to epistemic practices in curriculum materials and the enactment of those materials. Epistemic practices include asking questions,…
Descriptors: Curriculum Development, Elementary Education, Scaffolding (Teaching Technique), Teaching Methods
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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