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No Child Left Behind Act 20011
Showing 1 to 15 of 120 results Save | Export
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Sarah Klevan; Melanie Leung-Gagné; Tomoko M. Nakajima – Learning Policy Institute, 2024
Across the United States, there is an increased interest in improving school climate, reflecting a deepening understanding of the foundational role that school climate can play in supporting students' well-being, learning, and development. School climate is constructed from norms, expectations, and interpersonal relationships that come together to…
Descriptors: Educational Environment, Middle Schools, School Districts, Data Use
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Yannik Fleischer; Susanne Podworny; Rolf Biehler – Statistics Education Research Journal, 2024
This study investigates how 11- to 12-year-old students construct data-based decision trees using data cards for classification purposes. We examine the students' heuristics and reasoning during this process. The research is based on an eight-week teaching unit during which students labeled data, built decision trees, and assessed them using test…
Descriptors: Decision Making, Data Use, Cognitive Processes, Artificial Intelligence
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Oliveira, Alandeon W.; Wang, Junhong; Perno, Crystal; Brotzge, Jerald; Verma, Amita – Journal of Science Education and Technology, 2023
This theoretical article proposes using statewide weather-observing networks (Mesonets) to support data-intensive, issue-based teaching of atmospheric topics in middle and high school science. It is argued that the incorporation of this new technology and its affordances into the school curriculum can drastically change the ways that atmospheric…
Descriptors: Weather, Science Curriculum, Inquiry, Active Learning
Fonya Crockett Scott – ProQuest LLC, 2024
In an increasingly data-driven society, making decisions with data is a requirement not only for research scientists but also for navigating life more generally (Kjelvik & Schultheis, 2019). An informed citizenry must be prepared to discover patterns, predict outcomes, make decisions with data, and evaluate data-based claims for legitimacy and…
Descriptors: Interdisciplinary Approach, Data Use, Decision Making, Student Evaluation
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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
Bianca Croutch – ProQuest LLC, 2023
U.S. middle school teachers have struggled to meet the instructional needs of students in the area of mathematics. Teachers' approaches to assessment and instructional strategies remain understudied; such knowledge could help educational leaders to devise strategies to boost student achievement. The purpose of this qualitative study was to examine…
Descriptors: Mathematics Teachers, Middle School Teachers, Teacher Attitudes, Mathematics Instruction
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Jingping Sun; Jiangang Xia; Cheng Hua; Kaiwen Man; Bob L. Johnson Jr. – Educational Administration Quarterly, 2024
Purpose: There is little consensus in the literature regarding a) what it means for a school leader to lead with data, and b) how to measure data-informed leadership in a reliable and valid way. This study examines the psychometric properties of an operational measure intended to assess the extent to which a school leader is a data-informed school…
Descriptors: Psychometrics, Data Use, Leadership, Surveys
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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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Yu-Jie Wang; Chang-Lei Gao; Xin-Dong Ye – Education and Information Technologies, 2024
The continuous development of Educational Data Mining (EDM) and Learning Analytics (LA) technologies has provided more effective technical support for accurate early warning and interventions for student academic performance. However, the existing body of research on EDM and LA needs more empirical studies that provide feedback interventions, and…
Descriptors: Precision Teaching, Data Use, Intervention, Educational Improvement
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Putri Dwi Agustiningrum; Wirawan Fadly; Primus Demboh – Journal of Science Learning, 2024
This research aims to develop ECARsites, an online site designed to support data-related activities in science learning and to facilitate the implementation of data, computational thinking (CT), and self-directed learning (SRL) practices in a more contextualized and relevant way for students. The approach used design-based research (DBR) methods,…
Descriptors: Middle School Teachers, Science Teachers, Middle School Students, Faculty Development
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Beverly Cheri Neal – International Journal of Educational Administration and Policy Studies, 2024
The purpose of the study was to better understand the extent to which middle school principals' transformational leadership styles affect teachers' data-informed instruction, the influence of teachers' data-informed instruction on middle school student achievement, and the extent to which transformational leaders affect student achievement through…
Descriptors: Transformational Leadership, Data Use, Teaching Methods, Academic Achievement
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Sandomierski, Therese; Martinez, Stephanie; Webster, Rebecca; Winneker, Anna; Minch, Devon – Preventing School Failure, 2022
Root Cause Analysis (RCA) has been recommended as a specific problem-solving approach for addressing disproportionate discipline outcomes. RCA differs from other problem-solving models through its in-depth analysis that draws from the perspectives of individuals who are impacted by the issue being addressed. When applied to disproportionate…
Descriptors: Discipline, Disproportionate Representation, Problem Solving, Data Use
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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
Education Resource Strategies, 2024
Research has shown that ninth grade is uniquely important for student success, yet despite increased investments, leaders aren't always equipped to meet ninth graders' distinct needs. The transition from middle to high school is both critical and complex, as students encounter significant changes during this time, including taking on more advanced…
Descriptors: Grade 9, High School Students, High School Teachers, Student Experience
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Kloser, Matthew; Borko, Hilda; Wilsey, Matthew; Rafanelli, Stephanie – Science Education, 2022
Using evidence of student thinking and performance is crucial to enacting ambitious science teaching because intimate, formative data can be responsive to student ideas about science. However, narratives and policies about assessment and data use do not always position teachers to draw on the breadth and variety of evidence from the classroom to…
Descriptors: Portfolios (Background Materials), Faculty Development, Middle School Students, Science Teachers
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