NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 22 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Georgina K. Wort; Gareth Wiltshire; Simon Sebire; Oliver Peacock; Dylan Thompson – Journal of School Health, 2024
Background: Wearable technologies offer new opportunities to address in-school physical inactivity. However, children are often excluded from discussing issues which directly impact them, including the use of wearable technologies in a school setting. Thus, the aim of this study is to understand primary school pupils' experiences and perceptions…
Descriptors: Elementary School Students, Student Attitudes, Handheld Devices, Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Robin S. Codding; Amanda VanDerHeyden; Reina Chehayeb – Remedial and Special Education, 2024
This study extends prior research by manipulating both intervention and skill difficulty using a multiple baseline across participants design with changing phases in a virtual tutoring environment. Participants were four U.S. students from third and fifth grades for whom appropriate and challenging instructional targets were selected following…
Descriptors: Mathematics Instruction, Data Use, Teaching Methods, Intervention
Peer reviewed Peer reviewed
Direct linkDirect link
Bird, Erin Bridges; Ballard, Heidi L.; Harte, Margaret – Instructional Science: An International Journal of the Learning Sciences, 2023
Youth-focused Community and Citizen Science (CCS) projects are contexts in which youth can contribute to the entire "data lifecycle"--from data-collection to decision-making with their scientific findings. But data alone does not contain the answers for what action to take and how. Using the educational context of an afterschool CCS bird…
Descriptors: Data Use, Decision Making, Elementary School Students, Educational Change
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Changhee Lee; Eric M. Camburn; James Sebastian – School Effectiveness and School Improvement, 2025
This study examines what forms of data school leaders use, how they matter for students' learning, and which school contexts matter for such leadership practices to succeed. Utilizing hierarchical linear modeling, we analyzed survey responses from 1,381 school leaders and administrative data from 269 Florida schools. We find that although school…
Descriptors: Data Use, Decision Making, Principals, Administrator Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Estrella, Soledad; Vergara, Andrea; Gonzalez, Orlando – Statistics Education Research Journal, 2021
In order to study the manifestation of data sense and identify ways of thinking about variability in authentically realistic problems in a group of Chilean fifth-grade students, a lesson plan was designed and implemented, within the framework of statistical literacy and using the "lesson study" modality, in which students were urged to…
Descriptors: Foreign Countries, Grade 5, Statistical Analysis, Elementary School Students
Bodin, Mathieu – UNESCO International Institute for Educational Planning, 2021
Large-scale learning assessments can be used to generate performance and contextual data on student learning outcomes. They can be national, regional, or international; school based or household based. The UNESCO International Institute for Educational Planning (IIEP-UNESCO) has conducted a qualitative study to explore both how and why learning…
Descriptors: Student Evaluation, Foreign Countries, Evaluation Methods, Data Use
Peer reviewed Peer reviewed
Direct linkDirect link
Barnes, Nicole; Fives, Helenrose; Brighton, Catherine M.; Moon, Tonya R. – Elementary School Journal, 2019
The purpose of this investigation was to explore elementary teachers' beliefs about data and data use. Archived data from 2 research projects were used to address the following research questions: What are kindergarten and fifth-grade literacy teachers' beliefs about data and data use? What functions do the beliefs serve in teachers' actual use of…
Descriptors: Elementary School Teachers, Literacy Education, Teacher Attitudes, Beliefs
Peer reviewed Peer reviewed
Direct linkDirect link
Cumming, Joy; Goldstein, Harvey; Hand, Kirstine – Educational Assessment, Evaluation and Accountability, 2020
In Australia, under the National Assessment Plan, educational accountability testing in literacy and numeracy (NAPLAN) is undertaken with all students in Years 3, 5, 7 and 9 to monitor student achievement and inform policy. However, the extent to which these data have been analysed to report student progress is limited. This article reports a…
Descriptors: Accountability, Data Use, Indigenous Populations, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Soland, James; Thum, Yeow Meng – Journal of Research on Educational Effectiveness, 2022
Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…
Descriptors: Academic Achievement, Longitudinal Studies, Data Use, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Nilsson, Per – Statistics Education Research Journal, 2020
This study examines informal hypothesis testing in the context of drawing inferences of underlying probability distributions. Through a small-scale teaching experiment of three lessons, the study explores how fifth-grade students distinguish a non-uniform probability distribution from uniform probability distributions in a data-rich learning…
Descriptors: Hypothesis Testing, Statistics Education, Probability, Statistical Inference
Sorrells, Michelle L. – ProQuest LLC, 2019
Administrators at a Southeastern elementary school eliminated single-sex instructional grouping in 5th-grade classes without a proper analysis of all available data and later reflected upon whether this instructional model should be revived. Because data-based decisions may positively improve teaching and learning for all stakeholders, the purpose…
Descriptors: Single Sex Classes, Elementary Schools, Data Use, Decision Making
Peer reviewed Peer reviewed
Direct linkDirect link
Janney, Benjamin A.; Sobotka, Alex J.; Kidd, Aaron E. – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2022
Despite holding wide-ranging experiences with constant velocity and non-zero acceleration, students wrestling with physical science concepts struggle to demarcate the two distinct characteristics of motion. In fact, this prior experience and loose familiarity with associated terminology often act as an obstacle toward a deep and robust…
Descriptors: Scientific Concepts, Physical Sciences, Motion, Experience
Peer reviewed Peer reviewed
Direct linkDirect link
Regan, Kelley; Evmenova, Anya S.; Mergen, Reagan L.; Verbiest, Courtney; Hutchison, Amy; Murnan, Reagan; Field, Sara; Gafurov, Boris – Learning Disabilities Research & Practice, 2023
Rubrics can be used to give students targeted feedback on their writing and, therefore, teachers should be able to use them as a type of formative assessment to guide writing instruction. This article describes an exploratory study of how three teachers provided instruction for fourth, fifth, and seventh graders with learning disabilities and…
Descriptors: Grade 4, Grade 5, Grade 7, Elementary School Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Gleason, Philip; Crissey, Sarah; Chojnacki, Greg; Zukiewicz, Marykate; Silva, Tim; Costelloe, Sarah; O'Reilly, Fran – National Center for Education Evaluation and Regional Assistance, 2019
Most districts help teachers use data to improve student learning, often supporting this effort with federal funds. But many teachers feel unprepared to use student data to inform their instruction -- referred to as data-driven instruction (DDI) -- and there is little evidence of whether it improves student achievement. This report assesses an…
Descriptors: Data Use, Instruction, Academic Achievement, Professional Development
Previous Page | Next Page ยป
Pages: 1  |  2