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Laura M. Samulski-Peters – ProQuest LLC, 2024
One of the most significant issues in education, as defined by the U.S. Department of Education Office of Accountability (2018), is disproportionality in exclusionary discipline. Disproportionality is defined as the over- and under-representation of racial/ethnic minorities in relation to their overall enrollment (Ahram et al., 2011). Currently,…
Descriptors: Disproportionate Representation, Discipline, Data Use, Minority Group Students
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Ian Hardy; Vicente Reyes; Louise G. Phillips; M. Obaidul Hamid – Journal of Education Policy, 2024
Data infrastructures exist in a variety of formats. This article draws on the insights of senior personnel involved in developing a new data dashboard in one state jurisdiction in Australia. While literature on dashboards often focuses on the teachers and learners influenced by them, there is less attention to those involved in their development…
Descriptors: Learning Analytics, Learning Processes, Learning Management Systems, Computer Software
Leone, Elizabeth L. – ProQuest LLC, 2023
Data collection and analyzation practices for English language development services are scarcely found in research, but needed in the subgroup of minority students commonly known as English language learners (Wiseman & Bell, 2021). Wiseman and Bell (2021) identified ELLs as one of the most under-documented student subgroups in the American…
Descriptors: Data Collection, Data Analysis, Second Language Learning, English Language Learners
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Dexter, Sara; Francisco, Aubrey; Luke Luna, Christina – Journal of Educational Administration, 2021
Purpose: The purpose of this study was to better understand K-12 district leaders' reasoning and processes for selecting and deploying EdTech instructional products, including which, if any, types of data are used to support decision-making. Design/methodology/approach: This multisite case study of educational technology (EdTech) decision-making…
Descriptors: Educational Technology, Decision Making, Selection, Purchasing
Crawford, Jane C.; Bergeson, Ryan M.; Dierker, Wayne J. – ProQuest LLC, 2019
The problem statement for this project-based learning was loose coupling, when applied to the PBIS framework, translates into major gaps with district-wide implementation of Tier II and Tier III interventions. Additionally, lack of superintendent-adaptive schools' knowledge and practices impact fidelity of implementation. Tier II and Tier III…
Descriptors: Problem Based Learning, Positive Behavior Supports, Program Implementation, School Districts
National Forum on Education Statistics, 2023
This guide is designed for use by school, district, and state education agency staff to improve the effectiveness of efforts to collect and use discipline data, including reporting accurate and timely data to the federal government. It explains the importance of collecting discipline data, identifies key considerations for agencies implementing…
Descriptors: Discipline, Data Collection, Data Analysis, School Districts
Dierker, Wayne J.; Crawford, Jane C.; Bergeson, Ryan M. – ProQuest LLC, 2019
The problem statement for this project based learning was loose coupling, when applied to the PBIS framework, translates into major gaps with district wide implementation of Tier II and Tier III interventions. Additionally, lack of superintendent adaptive schools' knowledge and practices impact fidelity of implementation. Tier II and Tier III…
Descriptors: Problem Based Learning, Positive Behavior Supports, Program Implementation, School Districts
Polikoff, Morgan – Center on Children and Families at Brookings, 2018
There is increasing momentum behind the idea that curriculum materials, including textbooks, represent a powerful lever for education reform. As funders are lining up and state leaders are increasing their policy attention on curriculum materials, this report discusses the very real challenges of this effort. The report draws on my experience over…
Descriptors: Instructional Materials, Textbooks, Educational Change, School Districts
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Dauenhauer, Brian D.; Keating, Xiaofen D.; Lambdin, Dolly – Journal of Teaching in Physical Education, 2018
Purpose: This study aimed to conduct an in-depth investigation into physical education data sources and collection procedures in a district that was awarded a Physical Education Program (PEP) grant. Method: A qualitative, multi-site case study was conducted in which a single school district was the overarching case and eight schools served as…
Descriptors: Physical Education Teachers, Qualitative Research, Case Studies, School Districts
Pak, Katie; Desimone, Laura M. – Phi Delta Kappan, 2019
Under both No Child Left Behind and the Every Student Succeeds Act, school leaders have been mandated to employ data-driven decision-making (DDDM) to diagnose student needs, implement targeted supports, and design school improvements. However, district administrators tasked with developing principals' DDDM capacity face a tough road. The authors…
Descriptors: Principals, Decision Making, Capacity Building, Evidence Based Practice
Saenz-Armstrong, Patricia – National Council on Teacher Quality, 2021
For any labor market to function properly, clear information is needed to guide decision making; its absence invariably leads to less than optimal decisions and inefficiencies. While the broader labor market is riddled with imperfect information, the teacher labor market is particularly vulnerable--largely for the lack of the most basic…
Descriptors: Teacher Supply and Demand, Teacher Shortage, Decision Making, State Departments of Education
Center on Standards and Assessments Implementation, 2018
The recommendations in this brief create a framework for using data effectively to make instructional decisions. The availability of student-level data for educators has pushed forward the movement to strengthen the role of data to guide instruction and improve student learning. While improvements in technology and assessments, as well as recent…
Descriptors: Student Evaluation, Information Utilization, Data Collection, Data Analysis
Rankin, Jenny Grant; Johnson, Margie; Dennis, Randall – Online Submission, 2015
When many people hear the term "big data", they primarily think of a technology tool for the collection and reporting of data of high variety, volume, and velocity. However, the complexity of big data is not only the technology, but the supporting processes, policies, and people supporting it. This paper was written by three experts to…
Descriptors: Data Collection, Information Technology, Data Analysis, Information Systems
Ruedel, Kristin; Nelson, Gena; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2017
Similar to many states, the Louisiana Department of Education (LDOE) does not mandate the use of specific literacy screening or progress monitoring tools. LDOE sought a measurement approach that resulted in accurate and reliable information on student progress and outcomes, yet respected local control. This state spotlight presents initial…
Descriptors: Data Use, State Standards, Educational Improvement, Decision Making
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Lindgren, Lena; Hanberger, Anders; Lundström, Ulf – Education Inquiry, 2016
Evaluation systems of various types are an integral part of a country's education policy space, within which they are supposed to have the basic functions of enhancing accountability and supporting school development. Here we argue that in a crowded policy space evaluation systems may interfere with each other in a way that can have unintended…
Descriptors: Educational Policy, Accountability, Evaluation Methods, School Effectiveness
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