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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
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Mária Cujdíková; Ivan Kalaš – Informatics in Education, 2025
Tables are fundamental tools for handling data and play a crucial role in developing both computational thinking (CT) and mathematical thinking (MT). Despite this, they receive limited attention in research and design. This study investigates pupils' attitudes toward and approaches to working with tables in informatics education, focusing on the…
Descriptors: Foreign Countries, Elementary School Curriculum, Programming, Computation
Joshua Bleiberg; Tuan D. Nguyen – Annenberg Institute for School Reform at Brown University, 2025
Educator labor markets vary considerably across the country and can change quickly during recessions. We use data from the Quality Workforce Indicators (QWI) on educators in Elementary and Secondary Schools from 2000-01 to 2022-23. We demonstrate how to transform the quarter-level data in the QWI to construct valid educator labor market measures.…
Descriptors: Elementary School Teachers, Secondary School Teachers, Faculty Mobility, Teacher Burnout
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Saskia Schreiter; Markus Vogel – Educational Studies in Mathematics, 2025
The ability to interpret and compare data distributions is an important educational goal. Inherent in the statistical concept of distribution is the need to focus not only on individual data points or small groups of data points (so-called local view), but to perceive a distribution as a whole, allowing to recognize global features such as center,…
Descriptors: Eye Movements, Statistical Distributions, Data Interpretation, Data Analysis
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Frischemeier, Daniel; Schnell, Susanne – Mathematics Education Research Journal, 2023
As data are 'numbers with context' (Cobb & Moore, 1997), contextual knowledge plays a prominent role in dealing with statistics. While insights about a specific context can further the depth of interpreting and evaluating outcomes of data analysis, research shows how it can also hinder relying on data especially if results differ from…
Descriptors: Elementary School Students, Context Effect, Data Analysis, Case Studies
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Mark Bray; Abdel Rahamane Baba-Moussa – Compare: A Journal of Comparative and International Education, 2025
This paper examines and builds on an earlier contribution to this journal focusing on private supplementary tutoring -- widely known as shadow education -- in Francophone West and Central Africa. Drawing on wider literature about research methods in this domain, it examines the basis for the numerical estimates presented in the original article…
Descriptors: Foreign Countries, Tutoring, Supplementary Education, Private Education
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Achilleas Mandrikas; Constantina Stefanidou; Constantine Skordoulis – Journal of STEM Education: Innovations and Research, 2024
A STEM education program entitled "Come rain or shine" implemented in a primary rural school in southern Greece as part of the "Diffusion of STEM (DI-STEM)" project and the results of its implementation are presented in this paper. The educational program deepened in weather education and intended to develop eight scientific…
Descriptors: Foreign Countries, STEM Education, Elementary Education, Program Implementation
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Ubilla, Francisca M.; Vásquez, Claudia; Rojas, Francisco; Gorgorió, Núria – Statistics Education Research Journal, 2021
We consider the ability to complete an investigative cycle as an indicator of the robustness of students' statistical knowledge. From this standpoint, we analyzed the written reports of primary education student teachers when they developed an investigative cycle in a Chilean and a Spanish university. In their development of the stages of the…
Descriptors: Foreign Countries, Teacher Education Programs, Elementary School Teachers, Statistics Education
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Swanson, Hillary; Trninic, Dragan – Educational Technology Research and Development, 2021
Making sense of data is fundamental to science. Yet, the form in which data are represented can make their interpretation challenging for students. We introduce an activity that transformed a data table into an embodied artifact. The activity helped 8th grade students interpret the data to find that cold water warmed "fast-then-slow," in…
Descriptors: Data Interpretation, Grade 8, Tables (Data), Change
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Fonseca, Gabriela; Barros, Fernando, Jr.; Santos, Daniel; Scorzafave, Luiz Guilherme – AERA Online Paper Repository, 2020
This work investigates how data availability can lead to different conclusions about the so-called fading-out effect of early childhood education (ECE). We explore a extensive dataset from 2008 and 2012 on elementary school children from a small municipality in Brazil. This data allows us to evaluate the effect of ECE attendance on language…
Descriptors: Early Childhood Education, Outcomes of Education, Sustainability, Achievement Gains
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Reuter, Timo; Leuchter, Miriam – European Journal of STEM Education, 2022
Introducing kindergarten children to the engineering design process (EDP) is an important objective of early STEM education. Studies indicate that children often miss the crucial steps of testing and optimising during the EDP and do not persist in making solutions better. The present study explores how children's goal awareness, self-evaluation…
Descriptors: Kindergarten, Young Children, Goal Orientation, Perception
Jennings, Austin Stewart – ProQuest LLC, 2019
My dissertation comprises three studies designed to explore nuances of data use in education that presently confound the relationship between variation in teachers' practice of data use and student outcomes: (1) the relationships between different data sources within and across instructional practices; (2) the dimensionality of teachers' practice…
Descriptors: Elementary School Teachers, Data Use, Data Interpretation, Formative Evaluation
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Confrey, Jere; Shah, Meetal – ZDM: Mathematics Education, 2021
This study investigated the process of instructional change required to translate data on student progress along learning trajectories (LTs) into relevant instructional modifications. Researchers conducted a professional development session on ratio LTs, which included analyzing 3 years of district-level data from Math-Mapper 6-8, a digital…
Descriptors: Instructional Improvement, Mathematics Instruction, Data Use, Decision Making
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Jennings, Austin S.; Jennings, Amanda B. – Teachers College Record, 2020
Background/Context: Teachers' practice of interim assessment data use is subject to an array of individual, social, and organizational contextual factors. While contemporary research situates interim assessments within teachers' broader practice of data use, teachers do not make sense of interim assessment data in isolation. This…
Descriptors: Data Use, Elementary School Teachers, English Teachers, Mathematics Teachers
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Bowen, G. Michael; Bartley, Anthony – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2020
School science is often very different from "real world" science. One important difference, and possibly the main one, is that in school science the relationships between variables have often been sanitized -- essentially "cleaned up" -- so that there is very little (and often no) variation in the data from the relationship…
Descriptors: Science Instruction, Data, Science Activities, Authentic Learning
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