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Carlos Ortegón; Mathias Decuypere; Ben Williamson – Research in Education, 2024
The use of educational technologies in schools is being reshaped by a new kind of intermediary organization that brokers relations between schools, academia, governance, and industry. In this article we define and examine 'edtech brokers' as organizations that operate between the edtech industry, public schools, research centers and governments,…
Descriptors: Educational Technology, Technology Uses in Education, Information Scientists, Industry
National Forum on Education Statistics, 2021
The work of the National Forum on Education Statistics (Forum) is a key aspect of the National Cooperative Education Statistics System (Cooperative System). The Cooperative System was established to produce and maintain, with the cooperation of the states, comparable and uniform education information and data that are useful for policymaking at…
Descriptors: Data Collection, Information Storage, Information Management, Data Use
Sirinides, Philip; Coffey, Missy – State Education Standard, 2018
Americans share an expectation that government will serve the common good, creating inescapable pressure for public agencies--especially those that serve young children--to perform well. Yet education and human services agencies continually struggle to respond to the complex conditions in which children are born. How can they address the practical…
Descriptors: Early Childhood Education, Evidence Based Practice, Decision Making, Educational Policy
National Forum on Education Statistics, 2018
The Forum Guide to Reporting Civil Rights Data presents a variety of effective methods through which local education agencies (LEAs) report civil rights data to the U.S. Department of Education's Office for Civil Rights. In addition, the guide provides examples of how state education agencies can voluntarily help their LEAs with Civil Rights Data…
Descriptors: Civil Rights, Student Rights, Data, Information Utilization
Laguilles, Jerold S. – New Directions for Institutional Research, 2016
This chapter describes the background and process for collecting postgraduation outcomes data at a 4-year not-for-profit private college. The strategies, analyses, and reporting of this data-collection effort are highlighted with the use of a case study.
Descriptors: Private Colleges, Outcome Measures, Data Collection, Graduate Study
Poon, Brenda T.; Simmons, Noreen R. – Deafness & Education International, 2016
Population-based outcome monitoring could provide useful information about factors that differentially influence the developmental trajectories of deaf or hard-of-hearing children. A strong basis for population-based outcome monitoring is a coordinated, longitudinal data collection, and management infrastructure that includes quality local…
Descriptors: Foreign Countries, Early Intervention, Data Collection, Deafness
Loepp, Eric D. – Journal of Political Science Education, 2018
In an effort to promote learning in classrooms, political science instructors are increasingly turning to interactive teaching strategies--experiments, simulations, etc.--that supplement traditional lecture formats. In this article, I advocate the use of student-generated data as a powerful teaching tool that can be used in a variety of ways to…
Descriptors: Political Science, Teaching Methods, Interaction, Data Collection
Zimbardi, Kirsten; Colthorpe, Kay; Dekker, Andrew; Engstrom, Craig; Bugarcic, Andrea; Worthy, Peter; Victor, Ruban; Chunduri, Prasad; Lluka, Lesley; Long, Phil – Assessment & Evaluation in Higher Education, 2017
Feedback is known to have a large influence on student learning gains, and the emergence of online tools has greatly enhanced the opportunity for delivering timely, expressive, digital feedback and for investigating its learning impacts. However, to date there have been no large quantitative investigations of the feedback provided by large teams…
Descriptors: Student Evaluation, Feedback (Response), Academic Achievement, Achievement Gains
Rienties, Bart; Cross, Simon; Marsh, Vicky; Ullmann, Thomas – Open Learning, 2017
Most distance learning institutions collect vast amounts of learning data. Making sense of this 'Big Data' can be a challenge, in particular when data are stored at different data warehouses and require advanced statistical skills to interpret complex patterns of data. As a leading institute on learning analytics, the Open University UK instigated…
Descriptors: Foreign Countries, Distance Education, Data Collection, Data Interpretation
Thille, Candace; Schneider, Emily; Kizilcec, René F.; Piech, Christopher; Halawa, Sherif A.; Greene, Daniel K. – Research & Practice in Assessment, 2014
The article addresses the question of how the assessment process with large-scale data derived from online learning environments will be different from the assessment process without it. Following an explanation of big data and how it is different from previously available learner data, we describe three notable features that characterize…
Descriptors: Data, Online Courses, Electronic Learning, Case Studies
Fox, Joanna Hornig; Ingram, Erin S.; Depaoli, Jennifer L. – Civic Enterprises, 2016
In the 2012-13 school year, Kentucky led the nation with an 85.4 percent high school graduation rate for low-income students and a one-percentage-point graduation gap between low-income and non-low-income students. In 2013-14 the state ranked fourth in the nation with a seven-percentage-point incomebased graduation rate gap. Even though Kentucky's…
Descriptors: High School Students, Graduation Rate, Achievement Gap, Low Income Students
Supovitz, Jonathan; Foley, Ellen; Mishook, Jacob – Education Policy Analysis Archives, 2012
Data have long been considered a key factor in organizational decision-making (Simon, 1955; Lindblom & Cohen, 1979). Data offer perspective, guidance, and insights that inform policy and practice (Newell & Simon, 1972; Kennedy, 1984). Recently, education policymakers have invested in the use of data for organizational improvement in states…
Descriptors: Academic Achievement, Politics of Education, Educational Indicators, Management Information Systems
Hodgson, Sarah; Papatheodorou, Theodora; James, Mary – Management in Education, 2014
The article aims to discuss preliminary findings from a participatory monitoring and evaluation (M&E) framework, used in a community-based early childhood development (ECD) programme in KwaZulu-Natal South Africa, and their implications for leadership and management. The purposes of the M&E were for LETCEE, the implementing organization,…
Descriptors: Early Childhood Education, Preschool Evaluation, Community Education, Case Studies
Young, Anne; McConkey, Kevin; Kirby, Mark – Journal of Institutional Research, 2011
Student feedback surveys are an important component of the continuous improvement cycle at the University of Newcastle. This article describes a recently adopted holistic approach to collecting, analysing, reporting and acting on student feedback on courses (units of study), programs (collection of courses leading to an award) and the student…
Descriptors: Student Surveys, Feedback (Response), Holistic Approach, Course Evaluation
Hill, Rebecca Sue Steffensen – ProQuest LLC, 2012
Co-teaching occurs when a special educator and a general education teacher teach together in an inclusive classroom. Co-teaching has been adopted across the United States as the solution to meet the legal mandates of No Child Left Behind and the Individuals with Disabilities Improvement Act. These pieces of legislation require schools to have…
Descriptors: Teacher Collaboration, Special Education, Inclusion, Educational Legislation
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