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Data Quality Campaign, 2020
School closures resulting from the COVID-19 pandemic have left educators and families with the responsibility of rapidly learning how to support students while they are at home. This fundamental shift in the way most students receive instruction makes it critical for educators and families to be able to use data to meet students where they are and…
Descriptors: Distance Education, Student Records, COVID-19, Pandemics
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Aulck, Lovenoor; Nambi, Dev; West, Jevin – International Educational Data Mining Society, 2020
Effectively estimating student enrollment and recruiting students is critical to the success of any university. However, despite having an abundance of data and researchers at the forefront of data science, traditional universities are not fully leveraging machine learning and data mining approaches to improve their enrollment management…
Descriptors: Resource Allocation, Scholarships, Artificial Intelligence, Data Analysis
Montenegro, Erick; Jankowski, Natasha A. – National Institute for Learning Outcomes Assessment, 2020
Entering into a new decade with an even more diversified college student population will not only require more assessment models involving students but also deeper professional development of institutional representatives key to student learning. Reflecting upon the conversations over the last three years around culturally responsive assessment…
Descriptors: College Students, Cultural Relevance, Student Evaluation, College Outcomes Assessment
Marion, Scott – National Center for the Improvement of Educational Assessment, 2020
In March 2020, the coronavirus pandemic and attending shift to remote schooling initiated a dramatic impact on student learning, an impact that state and district leaders feel a sense of urgency to understand and address. These leaders are accustomed using state and district test data to shed light on student achievement and growth. But without…
Descriptors: Educational Opportunities, Equal Education, Data Collection, COVID-19
NWEA, 2020
To help provide context to MAP® Growth™ normative percentiles, this document includes multiple College and Career Readiness (CCR) benchmarks, including those from ACT®, SAT®, and Smarter Balanced Assessment Consortium (Smarter Balanced). The comparative data in the tables presented in this report can be used as data points for instructional…
Descriptors: Data Use, Decision Making, Achievement Tests, College Entrance Examinations
Marjorie Cohen; Steve Klein; Cherise Moore – Career and Technical Education Research Network, 2020
As the education and workforce development community looks more and more to CTE to help ensure students are both college and career ready, understanding and using CTE data and research becomes increasingly important. This is the first in a series of six practitioner training modules developed as part of the Career & Technical Education (CTE)…
Descriptors: Vocational Education, Units of Study, Data Use, Training Objectives
Yazmene Thomas – ProQuest LLC, 2020
This qualitative, plausibility probe case study was conducted to determine if adjunct faculty teaching in humanities courses use effective teaching and learning styles in tertiary classrooms. The researcher specifically sought to find rich data on formative assessments and the teaching and learning theory andragogy. To ascertain this data the…
Descriptors: Formative Evaluation, Andragogy, Teaching Methods, Instructional Effectiveness
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Freeman, Jennifer; Peterson, Reece; Kern, Lee; Mathur, Sarup R.; Barber, Brian; Power, Mara; Perea, Madison – Behavioral Disorders, 2023
This document provides recommendations of the Council for Children with Behavioral Disorders (CCBD) regarding the use of seclusion in schools. It updates the CCBD's position on this topic first published in 2009 and includes (a) key definitions, (b) a summary of problems with the use of seclusion, (c) strategies to eliminate the use of seclusion,…
Descriptors: Student Behavior, Behavior Disorders, Discipline, Research
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Renu, N.; Sunil, K. – Higher Education for the Future, 2023
Integration of computational data science (CDS) into the university curriculum offers several advantages for students, faculty and the institution. This article discusses the benefits to students of introducing CDS into the university curriculum with a focus on developing skills in cheminformatics, data analysis, structure--activity relationships,…
Descriptors: Data Science, Higher Education, College Students, Skill Development
Shanahan, Emma – ProQuest LLC, 2023
Difficulties in writing can emerge as early as preschool, and often coincide with developing difficulties in reading (Berninger et al., 1997; Graham & Santangelo, 2014; Graham et al., 2020), as reading and writing are fundamentally connected skills (e.g., Fitzgerald & Shanahan, 2000). Writing instruction in general has had positive effects…
Descriptors: Writing Skills, Writing Instruction, Evidence Based Practice, Progress Monitoring
Freidenbloom, David Carl – ProQuest LLC, 2023
This phenomenological study sought to examine the lived experiences of Pennsylvania school leaders in elementary or middle schools with an economically disadvantaged student population of 50% or greater and English Language Arts proficiency exceeding 60% as measured by the 2021-2022 Pennsylvania System of School Assessment. Across the Commonwealth…
Descriptors: Elementary Schools, Middle Schools, Economically Disadvantaged, At Risk Students
Christine M. McWayne Ed.; Vivian L. Gadsden Ed. – Brookes Publishing Company, 2024
How can we close opportunity gaps for young children affected by poverty and systemic racism--and build hope and resilience for children and their families? Research points the way forward, and in this timely volume, 40+ leading researchers identify new approaches, insights, and technologies that can promote educational equity and improve outcomes…
Descriptors: Educational Research, Access to Education, Equal Education, Individual Characteristics
Data Quality Campaign, 2024
In 2024, state legislators introduced hundreds of bills that would affect data collection, access, and use across early education, K-12, postsecondary, and the workforce. As in 2023, legislators continued to introduce and enact legislation governing cross-agency data systems. These policies are the most important step toward making statewide…
Descriptors: State Legislation, Early Childhood Education, Elementary Secondary Education, Labor Force
Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…
Descriptors: Intervention, Outcomes of Education, Randomized Controlled Trials, Data Use
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Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – International Educational Data Mining Society, 2024
The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…
Descriptors: Intervention, Outcomes of Education, Randomized Controlled Trials, Data Use
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