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National Center for Education Statistics, 2015
As state and local education agencies increasingly focus on serving educators with their data systems, a common challenge has arisen: identifying the critical knowledge, skills, and behaviors needed by teachers and administrators to use data effectively. Many states are creating data literacy and data use training programs for pre- and in-service…
Descriptors: Data Use, Longitudinal Studies, Standards, Information Literacy
Wise, Alyssa Friend; Shaffer, David Williamson – Journal of Learning Analytics, 2015
It is an exhilarating and important time for conducting research on learning, with unprecedented quantities of data available. There is a danger, however, in thinking that with enough data, the numbers speak for themselves. In fact, with larger amounts of data, theory plays an ever-more critical role in analysis. In this introduction to the…
Descriptors: Learning Theories, Predictor Variables, Data, Data Analysis
Newman, Daniel S.; Clare, Mary M. – Contemporary School Psychology, 2016
The purpose of this article is to explore the application of qualitative research to establishing a more complete understanding of relational processes inherent in school psychology practice. We identify the building blocks of rigorous qualitative research design through a conceptual overview of qualitative paradigms, methodologies, methods (i.e.,…
Descriptors: School Psychology, Qualitative Research, Research Design, Data Analysis
Kaimi, Irene – Teaching Statistics: An International Journal for Teachers, 2015
This articles argues in favour of a recently introduced approach to statistical inference which focuses on understanding the data generating process. A comprehensive example supports the discussion.
Descriptors: Statistical Inference, Statistical Data, Data Collection, Probability
Gibson, David C.; Webb, Mary E. – Education and Information Technologies, 2015
This article is the second of two articles in this special issue that were developed following discussions of the Assessment Working Group at EDUsummIT 2013. The article extends the analysis of assessments of collaborative problem solving (CPS) to examine the significance of the data concerning this complex assessment problem and then for…
Descriptors: Educational Assessment, Problem Solving, Cooperation, Psychometrics
Bonomi, Luca – ProQuest LLC, 2015
The Big Data phenomenon is posing new challenges in our modern society. In addition to requiring information systems to effectively manage high-dimensional and complex data, the privacy and social implications associated with the data collection, data analytics, and service requirements create new important research problems. First, the high…
Descriptors: Data, Privacy, Information Security, Data Analysis
Tremblay, Melissa; Kingsley, Bethan; Gokiert, Rebecca; Benthem, Gary – Journal of Community Engagement and Higher Education, 2018
Drawing on a community-university (CU) partnership between a non-profit organization that serves teen families, a housing organization and a university, this paper discusses the opportunities and challenges that can arise when engaging vulnerable youth in research. Through this paper, we share reflections on promising practices and ethical…
Descriptors: Disadvantaged Youth, At Risk Persons, Adolescents, Early Parenthood
Mouri, Kousuke; Uosaki, Noriko; Ogata, Hiroaki – Educational Technology & Society, 2018
Seamless learning has been recognized as an effective learning approach across various dimensions including formal and informal learning contexts, individual and social learning, and physical world and cyberspace. With the emergence of seamless learning, the majority of the current research focuses on realizing a seamless learning environment at…
Descriptors: Data Collection, Data Analysis, Second Language Learning, Electronic Publishing
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
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
Lacefield, Warren E.; Applegate, E. Brooks – Online Submission, 2018
Accountability seems forever engrained into the K-12 environment, as has been the expectation of delivering quality education to school aged children and adolescents. Yet, repeated failure of this expectation has focused the public's and policy maker's attention on the limitations of major accountability systems. This paper explores applications…
Descriptors: Public Education, Data, Visual Aids, Artificial Intelligence
Lauer, E. A; Houtenville, A. J. – Institute on Disability, University of New Hampshire, 2018
The "Annual Disability Statistics Supplement" is a companion report to the "Annual Disability Statistics Compendium." The "Supplement" presents statistics on the same topics as the "Compendium," with additional categorizations by demographic characteristics including age, gender and race/ethnicity. In…
Descriptors: Disabilities, Statistics, Tables (Data), Incidence
Liu, Ran; Stamper, John; Davenport, Jodi – Grantee Submission, 2018
Temporal analyses are critical to understanding learning processes, yet understudied in education research. Data from different sources are often collected at different grain sizes, which are difficult to integrate. Making sense of data at many levels of analysis, including the most detailed levels, is highly time-consuming. In this paper, we…
Descriptors: Intelligent Tutoring Systems, Learning, Data Analysis, Student Development
Almatrafi, Omaima – ProQuest LLC, 2018
A Massive Open Online Course (MOOC) is a course that is offered fully online and is usually open for enrollment by any individual, with no limit on the number of participants. MOOCs are a popular resource for learning worldwide with over 23 million new learners registering for MOOCs in 2017 alone. Coursera, the most popular MOOC platform, has…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Louisiana Department of Education, 2018
Data is a crucial component in educational success. It gives educators the power to address student needs, study what strategies work, and make necessary changes so that every student has the greatest opportunity. Today, educators, parents, and students have access to more data than ever before and have access to more technology tools to…
Descriptors: Information Management, Privacy, Student Records, Standards