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Priemer, Burkhard; Pfeiler, Stephan; Ludwig, Tobias – Physical Review Physics Education Research, 2020
We report the findings of an empirical study that investigated whether the source of data--firsthand or secondhand data gained from lab work experiments--has an influence on students' learning outcomes. Results indicate that students' choice of a correct or incorrect hypothesis for a pendulum lab experiment on the influence of the mass of the bob…
Descriptors: Laboratory Experiments, Science Experiments, Motion, Scientific Concepts
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Brower, Rebecca L.; Mokher, Christine G.; Bertrand Jones, Tamara; Cox, Bradley E.; Hu, Shouping – AERA Open, 2020
This multiple case study examines the extent and ways in which leaders and administrators in Florida College System (FCS) institutions engage in distributed leadership through data sharing with frontline staff. Based on focus groups and individual interviews with administrators, faculty, and staff (659 participants) from 21 state colleges, we…
Descriptors: Community Colleges, College Administration, Participative Decision Making, Data Use
Craig, Scotty D.; Li, Siyuan; Prewitt, Deborah; Morgan, Laurie A.; Schroeder, Noah L. – Advanced Distributed Learning Initiative, 2020
The Science of Learning and Readiness (SoLaR) project seeks to demonstrate to Defense and other Government stakeholders the "art of the possible" for high-quality distributed learning and to create a practical guide for how to infuse such qualities into the broader Department of Defense (DoD) distributed learning ecosystem. This report…
Descriptors: Distance Education, Educational Technology, Learning Analytics, Data Collection
Complete College America, 2020
States' commitments to tackling long standing inequities have been stifled by missing data, long delays, insufficient data-analysis tools, and the excessive reporting burden placed on states and institutions. If states hope to achieve their completion and equity goals, they need access to data that does not leave them guessing--so they can…
Descriptors: Postsecondary Education, Partnerships in Education, Data Analysis, Data Use
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
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