Increasingly, early education, regardless of setting type, is considered to be an educational intervention that sets the stage for children's long-term school success. Accordingly, policymakers are focused on how to develop and support educators who have the skills and capacity to deliver high-quality programming to children. A pressing question…

The Certification Data Exchange Project (CDEP) was launched in 2012 to provide a model for sharing industry-recognized credential attainment data. Increasingly, employers and education leaders are recognizing the value of industry credentials to verify the knowledge, skills and abilities that students bring to the workforce. As states take steps…

An important, yet largely unstudied problem in student data analysis is to detect "misconceptions" from students' responses to "open-response" questions. Misconception detection enables instructors to deliver more targeted feedback on the misconceptions exhibited by many students in their class, thus improving the quality of…

Historically, students with disabilities graduate from high school at lower rates than peers without disabilities. As a result, many students with disabilities also have poor postsecondary or adult outcomes, such as unemployment or employment in lowpaying jobs. This state spotlight presents strategies the West Virginia Department of Education…

The goal of this study was to examine the professional development experiences of two contrastive participants while they were creating standards-based individualized education plan (IEP) goals using a virtual world called TeacherSim. Two specific focuses of the study were on how special educators engaged with the task of creating standards-based…

While discussion protocols can provide helpful structures for conversations about data and other collaborative work, some drawbacks have been noted; for example, protocols can preclude discussion about important topics that are not within the scope of the protocol. Prior research has not yet explored how educators' personal identities and…

School districts (local education agencies) in the United States are charged with many responsibilities, by law and by custom. The most important is responsibility for assuring schools and teachers have the support they need to provide consistent, high quality, and effective education to promote student learning for all students every year.…

Identifying schools that are beating the odds--schools that are exceeding academic performance expectations, given the composition of their student body--can lead to promising practices that other schools serving similar populations can implement. Regional Educational Laboratory Northeast & Islands used data on high-poverty high schools in…

The Good Behavior Game (GBG) is a group contingency intervention that has effectively reduced disruptive behavior and improved classroom management in many replications, for various settings and populations. The student composition of American public schools is changing, leading to culturally and linguistically diverse classrooms with unique…

Academic standards and performance outcomes are a major focus of the current Cycle 2 Australian Universities Quality Agency (AUQA) audits. AUQA has clearly stated that universities will need to provide "evidence of setting, maintaining, and reviewing institutional academic standards and outcomes" (2010, p. 27). To do this, universities…

Dimensional Analysis (DA) is shown to play a pivotal role in the teaching of Science, Technology, Engineering and Mathematics (STEM). This article summarizes the basic rules and corollaries of DA and addresses (1) the importance of using DA with mathematical functions; (2) how to use DA in a science/engineering laboratory based discovery approach;…

Short dietary assessment instruments known as screeners have potential for use in evaluating nutrition education programming because detecting change in dietary intake can demonstrate movement toward program goals. Using screeners results in objective dietary intake data but involves less administrative time, training, and cost than other…

When good model-data fit is observed, the Many-Facet Rasch (MFR) model acts as a linking and equating model that can be used to estimate student achievement, item difficulties, and rater severity on the same linear continuum. Given sufficient connectivity among the facets, the MFR model provides estimates of student achievement that are equated to…

The study aimed at exploring barriers to the use of computer assistive technology among students with visual impairment at Akropong School for the Blind. A case study design was adopted and the purposive sampling technique used to select 35 participants for the study. The researchers gathered qualitative data using an in-depth interview guide to…

Today, early science education is a well-accepted view. Enhancing children's curiosity about the natural world and fostering positive attitudes toward science are primary goals of science education. However, questions remain regarding the appropriate ways to identify, nurture, and study these emotional states in pre-schoolers. This study examines…