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Jennings, Austin S. – Educational Assessment, 2022
The extent to which teachers collect, interpret, and use information from multiple data sources is a key distinction between novice and expert data users. Understanding and exploring this dimension of teachers' instructional decision making requires a shift in contemporary perspectives toward the interconnectedness of data sources within teachers'…
Descriptors: Educational Practices, Information Utilization, Data Collection, Data Interpretation
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 Center for Education Statistics, 2023
The Civil Rights Data Collection (CRDC), formerly known as the Elementary and Secondary School Civil Rights Survey, is a part of the U.S. Department of Education's (ED's) Office for Civil Rights (OCR) strategy for administering and enforcing civil rights laws in U.S. public school districts and schools, including Puerto Rico.The CRDC collects a…
Descriptors: Civil Rights, Student Rights, Data, Information Utilization
Bradbury, Alice – Learning, Media and Technology, 2019
This paper examines processes of datafication in early childhood education (ECE) settings for children from birth-five years in England and how this relates to increased formalisation. Unusually, ECE in England includes a standardised curriculum and formative and statutory assessments; thus it has been described as subject to both datafication and…
Descriptors: Foreign Countries, Early Childhood Education, Data Collection, Data Analysis
Holland, Natalie; Houghton, Ann-Marie; Armstrong, Jo; Mashiter, Claire – Studies in Continuing Education, 2017
When attempting to use data to inform practice and policy, the availability, accuracy and relevance of that data are paramount. This article maps the range of users interested in data relating to the UK widening participation (WP) agenda. It explores some challenges associated with identifying, defining, obtaining and using data to inform…
Descriptors: Access to Education, Data, Information Utilization, Foreign Countries
Lin, Pei-Ying; Lin, Yu-Cheng – Policy Futures in Education, 2019
Over the decades, it is evident that exceptional learners have been excluded from participating in international assessments such as OECD's PISA (Programme for International Student Assessment) due to their disabilities. Drawing on the interdisciplinary theories and perspectives of educational assessment, measurement, and early childhood special…
Descriptors: International Assessment, Early Childhood Education, Disabilities, Educational Assessment
Schildkamp, Kim; Smit, Maaike; Blossing, Ulf – Scandinavian Journal of Educational Research, 2019
Schools need support in the use of data. To provide this support, a data team intervention was developed. A prior study conducted in the Netherlands showed that several factors can enable or hinder the work of data teams. The current replication study focuses on the factors influencing data use in data teams and the perceived effects of the data…
Descriptors: Foreign Countries, Professional Development, Information Utilization, Evidence Based Practice
Van Norman, Ethan R.; Nelson, Peter M.; Parker, David C. – School Psychology Review, 2018
School psychologists regularly use decision rules to interpret student response to intervention in reading. Recent research suggests that the accuracy of those decision rules depends on the duration of progress monitoring, the number of observations available, and the amount of measurement error present. In this study, we extended existing…
Descriptors: Curriculum Based Assessment, School Psychologists, Decision Making, Accuracy
Moyne, Martina M.; Herman, Maxwell; Gajos, Krzysztof Z.; Walsh, Conor J.; Holland, Donal P. – IEEE Transactions on Learning Technologies, 2018
This article describes the development of the Design Evaluation and Feedback Tool (DEFT), a custom-built web-based system that collects and reports data to support teaching, learning, and research in project-based engineering design education. The DEFT system collects data through short weekly questionnaires for students and instructors in…
Descriptors: Engineering Education, Design, Active Learning, Student Projects
Liu, Sanya; Ni, Cheng; Liu, Zhi; Peng, Xian; Cheng, Hercy N. H. – International Journal of Distance Education Technologies, 2017
Nowadays, Massive Open Online Courses (MOOCs) have obtained a rapid development and drawn much attention from the areas of learning analytics and artificial intelligence. There are lots of unstructured data being generated in online reviews area. The learning behavioral data become more and more diverse, and they prompt the emergence of big data…
Descriptors: Online Courses, Student Records, Learning Strategies, Cognitive Style
Guo, Hongwen – ETS Research Report Series, 2017
Data collected from online learning and tutoring systems for individual students showed strong autocorrelation or dependence because of content connection, knowledge-based dependency, or persistence of learning behavior. When the response data show little dependence or negative autocorrelations for individual students, it is suspected that…
Descriptors: Data Collection, Electronic Learning, Intelligent Tutoring Systems, 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
Chang, Hedy N.; Bauer, Lauren; Byrnes, Vaughan – Attendance Works, 2018
Over the past decade, chronic absence has gone from being a virtually unknown concept to a national education metric that provides every school in the nation with critical data on how many students are missing so many days of school it jeopardizes their academic success. The inclusion of chronic absence in the Every Student Succeeds Act (ESSA) was…
Descriptors: Attendance, Data, Attendance Patterns, Information Utilization
Schneider, Jack; Jacobsen, Rebecca; White, Rachel S.; Gehlbach, Hunter – Teachers College Record, 2018
Purpose/Objective: Under the reauthorized Every Student Succeeds Act (ESSA), states and districts retain greater discretion over the measures included in school quality report cards. Moreover, ESSA now requires states to expand their measurement efforts to address factors like school climate. This shift toward more comprehensive measures of school…
Descriptors: Urban Schools, School Districts, Stakeholders, Educational Quality
OECD Publishing, 2017
This report identifies effective strategies to tackle skills imbalances in South Africa. It provides an assessment of practices and policies in the following areas: the collection and use of information on skill needs to foster a better alignment of skills acquisitions with labour market needs; education and training policies targeting skills…
Descriptors: Foreign Countries, Job Skills, Skill Development, Educational Practices