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Early Childhood Data Collaborative, 2017
States provide a variety of public services to support the healthy growth and development of young children. These services are often administered by several different agencies within a state, and it isn't unusual for young children to receive services from multiple agencies simultaneously. This can lead to challenges for policymakers, agency…
Descriptors: Early Childhood Education, Child Development, Agency Cooperation, Health Services
Moore, Colleen; Bracco, Kathy Reeves; Nodine, Thad – Education Insights Center, 2017
California collects expansive sets of data about students in its public K-12 and higher education systems--data that, collectively, have great potential to meet the information needs of state policymakers, local educators, and other stakeholders. But the data are collected and maintained in systems that are not connected, were designed for…
Descriptors: Student Records, Data Collection, Progress Monitoring, College Students
Faria, Ann-Marie; Hawkinson, Laura; Metzger, Ivan; Bouacha, Nora; Cantave, Michelle – Regional Educational Laboratory Midwest, 2017
A quality rating and improvement system (QRIS) is a voluntary state assessment system that uses multidimensional data on early childhood education programs to rate program quality, support quality improvement efforts, and provide information to families about the quality of available early childhood education programs. QRISs have two components:…
Descriptors: Early Childhood Education, Educational Quality, Educational Improvement, Educational Practices
Crow, Tracy – Learning Forward, 2017
This paper seeks to chart a course for leveraging a micro-credentialing system to enable more educators to achieve the potential of professional learning. The paper uses the Standards for Professional Learning as a frame to provide guidance to everyone involved in micro-credentials to ensure that learners experience the research-based elements of…
Descriptors: Credentials, Academic Standards, Professional Education, Change Strategies
Vestena, Carla Luciane Blum; Piske, Fernanda Hellen Ribeiro – Online Submission, 2017
A research gap exists with regard to the analysis of school children and adolescents' awareness on environmental issues. Current investigation analyzes data of 240 children and adolescents, aged between 8 and 14 years, within different school contexts in the mid-southern region of Brazil, on their knowledge level and moral judgment on solid…
Descriptors: Foreign Countries, Knowledge Level, Moral Values, Children
National Center for Education Statistics, 2017
In general, data governance refers to the overall management of the availability, usability, integrity, quality, and security of data. A sound data governance program includes a governing body or council, a definition and allocation of authority, a defined set of procedures, and a plan to execute those procedures. This brief offers best practices…
Descriptors: Data, Governance, Information Management, Information Security
Roza, Marguerite; Hagan, Katherine – Building State Capacity and Productivity Center, 2017
Every Student Succeeds Act (ESSA) requires all states to collect and report school-level expenditure information, state education agencies (SEAs) are considering whether to set statewide rules for local education agencies (LEAs) around how to assign expenditures. Specifically, many states are wondering whether they need to standardize a practice…
Descriptors: Educational Finance, Costs, Expenditure per Student, Data Collection
Oakes, Wendy Peia; Lane, Kathleen Lynne; Cantwell, Emily D.; Royer, David J. – Grantee Submission, 2017
There is a priority for schools to address students' social and emotional needs as we do academic learning. Tiered models of prevention provide a framework for teaching social skills and behavioral expectations, as well as academics, with positive, proactive, evidence-based practices. Central to responding to students' needs is accurate…
Descriptors: Behavior Problems, Screening Tests, Elementary Secondary Education, Prevention
Society for Research on Educational Effectiveness, 2017
Bayesian statistical methods have become more feasible to implement with advances in computing but are not commonly used in educational research. In contrast to frequentist approaches that take hypotheses (and the associated parameters) as fixed, Bayesian methods take data as fixed and hypotheses as random. This difference means that Bayesian…
Descriptors: Bayesian Statistics, Educational Research, Statistical Analysis, Decision Making
Cuiccio, Cary – Principal Leadership, 2012
Districts nationwide are facing budget cuts that, to some, feel more like funding cliffs. Accordingly, school teams are re-examining their personnel, programs, and schedules so that they can make difficult decisions about where to spend resources to realize the greatest improvement. The principals who are able to make decisions with data from…
Descriptors: Needs Assessment, Educational Change, Data, Decision Making
Levenson, Nathan; Boser, Ulrich – Center for American Progress, 2014
Many school district strategic plans and education conferences are aggressively embracing technology to improve teaching and learning. Classroom technology typically includes blended learning, personalized learning, online courses for students, and professional development for teachers, among many other things. As districts wrestle with tighter…
Descriptors: Technology Uses in Education, Management Information Systems, School Districts, Elementary Secondary Education
Teplovs, Chris – Journal of Learning Analytics, 2015
This commentary reflects on the contributions to learning analytics and theory by a paper that describes how multiple theoretical frameworks were woven together to inform the creation of a new, automated discourse analysis tool. The commentary highlights the contributions of the original paper, provides some alternative approaches, and touches on…
Descriptors: Data Analysis, Data Collection, Theory Practice Relationship, Instructional Design
Schneider, Bertrand; Pea, Roy – Journal of Learning Analytics, 2015
In a previous study, we found that real-time mutual gaze perception (i.e., being able to see the gaze of your partner in real time on a computer screen while solving a learning task) had a positive effect on student collaboration and learning (Schneider & Pea, 2013). The goals of this paper are (1) to explore a variety of computational…
Descriptors: Eye Movements, Computer Mediated Communication, Discussion (Teaching Technique), Predictor Variables
Suryadarma, Daniel – Education Economics, 2015
This paper uses a rich longitudinal dataset to measure the evolution of the gender differences in numeracy among school-age children in Indonesia. Girls outperformed boys by 0.08 standard deviations when the sample was around 11 years old. Seven years later, the gap has widened to 0.19 standard deviations, equivalent to around 18 months of…
Descriptors: Longitudinal Studies, Evidence, Gender Differences, Numeracy
Schneider, Barbara – Educational Researcher, 2015
The College Ambition Program (CAP) is designed to encourage low-income and minority students to enroll in college. The following analysis presents updated results from my AERA presidential talk in 2014. Results indicate that CAP, which is a schoolwide intervention, increased college attendance for low-income and minority students in seven…
Descriptors: Disadvantaged, Low Income Students, Minority Group Students, College Preparation