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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
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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
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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
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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
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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
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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
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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
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Gleason, Philip; Crissey, Sarah; Chojnacki, Greg; Zukiewicz, Marykate; Silva, Tim; Costelloe, Sarah; O'Reilly, Fran – National Center for Education Evaluation and Regional Assistance, 2019
As part of their improvement efforts, schools have increasingly turned to the use of data to improve instruction. This is due in part to the increasing availability of student assessment data throughout the school year. The strategy of using assessment and other data to inform teachers' instruction is often called data-driven instruction (DDI).…
Descriptors: Data Use, Instruction, Academic Achievement, Professional Development
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Gleason, Philip; Crissey, Sarah; Chojnacki, Greg; Zukiewicz, Marykate; Silva, Tim; Costelloe, Sarah; O'Reilly, Fran – National Center for Education Evaluation and Regional Assistance, 2019
The three appendices in this publication accompany the full report, "Evaluation of Support for Using Student Data to Inform Teachers' Instruction. NCEE 2019-4008" (ED598641). They include: (1) Supplemental Information on Study Design, Data, and Methods; (2) Supplemental Findings on Implementation of the Data-Driven Instruction…
Descriptors: Data Use, Instruction, Academic Achievement, Professional Development
Muir, Tracey – Mathematics Education Research Group of Australasia, 2021
National testing and reform agendas, with their focus on school improvement, has led to increased collection and scrutiny of student data. The analysis of these data usually occurs at a school level, often by school leaders. What is less common is the opportunity for students to scrutinise their individual data and take ownership over the results…
Descriptors: Mathematics Instruction, Mathematics Achievement, Foreign Countries, Computation
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Keuning, Trynke; van Geel, Marieke; Visscher, Adrie; Fox, Jean-Paul – Journal of Educational Measurement, 2019
Data-based decision making (DBDM) is presumed to improve student performance in elementary schools in all subjects. The majority of studies in which DBDM effects have been evaluated have focused on mathematics. A hierarchical multiple single-subject design was used to measure effects of a 2-year training, in which entire school teams learned how…
Descriptors: Data, Decision Making, Elementary School Students, Mathematics Instruction
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Chaparro, Erin A.; Smolkowski, Keith; Jackson, Kathleen Ryan – Learning Disability Quarterly, 2020
Oregon's Effective Behavioral and Instructional Support Systems (EBISS) initiative was implemented in 25 school districts. The initiative trained and coached district leaders and teachers in the use of the EBISS model through the lens of implementation science. The EBISS model integrates school-wide positive behavior intervention and supports…
Descriptors: Positive Behavior Supports, State Programs, Coaching (Performance), Professional Development