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Huebner, Richard A. – ProQuest LLC, 2017
The ubiquity of data in various forms has fueled the need for advanced data-mining techniques within organizations. The advent of data mining methods used to uncover hidden nuggets of information buried within large data sets has also fueled the need for determining how these unique projects can be successful. There are many challenges associated…
Descriptors: Data Analysis, Data Collection, Information Retrieval, Surveys
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
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
Spector, J. Michael – Educational Technology Research and Development, 2016
This special issue of "ETR&D" is devoted to ethics in the broad domain of educational technology. Many ethical issues arise involving the study and use of educational technologies. A well-known issue involves the digital divide and the degree to which the introduction of new technologies is increasing the digital divide and…
Descriptors: Ethics, Data Collection, Data Analysis, Educational Technology
Annie E. Casey Foundation, 2018
"Fostering Youth Transitions" is a state-by-state data compilation designed to show state policymakers and other key stakeholders how young people are faring as they move from foster care to adulthood. The report shows the clear need for better policies and practices to give young people in foster care the opportunity to have brighter…
Descriptors: Foster Care, Young Adults, Transitional Programs, Data
Rankin, Jenny Grant; Johnson, Margie; Dennis, Randall – Online Submission, 2015
When many people hear the term "big data", they primarily think of a technology tool for the collection and reporting of data of high variety, volume, and velocity. However, the complexity of big data is not only the technology, but the supporting processes, policies, and people supporting it. This paper was written by three experts to…
Descriptors: Data Collection, Information Technology, Data Analysis, Information Systems
Kristensen, Niels Nørgaard; Solhaug, Trond – Journal of Social Science Education, 2017
Purpose: This article analyses what characterises first time voters' self-reflections on party choice as they use voter advice applications. Method: This study is based on interviews of 28 Norwegian students (age 18-20) preparing themselves for their first election. Findings: Finding a party to vote for is primarily characterized by a process of…
Descriptors: Foreign Countries, College Students, Voting, Novices
Filderman, Marissa J.; Austin, Christy R.; Toste, Jessica R. – Intervention in School and Clinic, 2019
The process of implementing intensive reading interventions using data-based decision-making (DBDM) becomes increasingly challenging as students move into the secondary grades and reading tasks correspondingly become more complex. This article provides teachers with guidelines to support effective implementation of DBDM for students with or at…
Descriptors: Data Use, Reading Difficulties, At Risk Students, Secondary School Teachers
New Data, Old Tensions: Big Data, Personalized Learning, and the Challenges of Progressive Education
Dishon, Gideon – Theory and Research in Education, 2017
Personalized learning has become the most notable application of big data in primary and secondary schools in the United States. The combination of big data and adaptive technological platforms is heralded as a revolution that could transform education, overcoming the outdated classroom model, and realizing the progressive vision of…
Descriptors: Data Collection, Data Analysis, Information Utilization, Individualized Instruction
Steed, Elizabeth A.; Roach, Andrew T. – Infants and Young Children, 2017
Findings are presented regarding childcare providers' use of evidence-based strategies to promote preschoolers' social-emotional competence in 38 urban childcare classrooms. Descriptive results from classroom observations and childcare teachers' interviews indicated that in the absence of training, childcare teaching staff implemented few of these…
Descriptors: Preschool Children, Preschool Education, Child Care, Observation
Baker, Ryan S. – International Journal of Artificial Intelligence in Education, 2016
The initial vision for intelligent tutoring systems involved powerful, multi-faceted systems that would leverage rich models of students and pedagogies to create complex learning interactions. But the intelligent tutoring systems used at scale today are much simpler. In this article, I present hypotheses on the factors underlying this development,…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Hypothesis Testing, Data Collection
Greer, Maureen; Kilpatrick, Jamie; McCullough, Katy; Reid, Kellen – Center for IDEA Early Childhood Data Systems (DaSy), 2016
This 2016 document is designed to provide state Part C staff with guidance on using fiscal data to analyze and revise their allocation methodology. Allocation methodology is the process -- including practices, strategies, procedures, and policies -- used by Part C state staff to equitably distribute funds to meet the needs of the system, including…
Descriptors: Educational Legislation, Equal Education, Disabilities, Federal Legislation
Knapp, Laura G.; Glennie, Elizabeth; Charles, Karen J. – RTI International, 2016
People providing services to schools, teachers, and students want to know whether these services are effective. With that knowledge, a project director can expand services that work well and adjust implementation of activities that are not working as expected. When finding that an innovative strategy benefits students, a project director might…
Descriptors: Data, Decision Making, Educational Improvement, Academic Achievement
Rupp, André A. – Applied Measurement in Education, 2018
This article discusses critical methodological design decisions for collecting, interpreting, and synthesizing empirical evidence during the design, deployment, and operational quality-control phases for automated scoring systems. The discussion is inspired by work on operational large-scale systems for automated essay scoring but many of the…
Descriptors: Design, Automation, Scoring, Test Scoring Machines
Shepard, Lorrie A.; Penuel, William R.; Davidson, Kristen L. – Phi Delta Kappan, 2017
The Every Student Succeeds Act grants states new flexibility to create more balanced assessment systems with a greater role for formative assessment. Drawing on lessons learned over three decades of research and reform, we argue that state and local leaders should take the lead in designing new assessments guided by two core principles: First,…
Descriptors: Federal Legislation, Educational Legislation, Formative Evaluation, Test Construction