Background: This paper considers a new policy and statistical framework for evaluating K-12 schools and policies that aligns with diversity, equity, and inclusion values. The new approach broadens the standard approach to accountability and evaluation by combining features of evaluation and multi-level growth models with approaches used in systems…

In this article the authors describe an instructional unit designed and taught in two classes of kindergarten children. The goals of the unit were to present a "driving question" to motivate the process of statistical investigation, to genuinely engage children in the stages of statistical investigation, and to facilitate them in…

This study investigated the relationship between children's attendance at different types of early childhood education and care programmes and their mathematical and verbal skills. Analyses of data from 1314 children participating in an Australian longitudinal study, the E4Kids project, revealed no relationship between children's verbal ability…

This experimental research study scrutinized the effectiveness of using augmented reality (AR) applications (apps) as a teaching and learning tool when instructing kindergarten children in the English alphabet in the State of Kuwait. The study compared two groups: (a) experimental, taught using AR apps, and (b) control, taught using traditional…

Georgia Professional Standards' guidelines suggest that kindergarten (K) students should use higher order critical thinking skills (HOCTS). However, educators have noted a majority of kindergartener's lack the ability to answer the most basic "why" questions. Thus, to answer academic reasoning questions, K students need to be trained how to answer…

With a number of disparities present in the diagnosis and treatment of children with autism spectrum disorders, the education system plays a crucial role in the provision of both these service elements. Based on school and federal census data, this article examines one state's public school autism enrollment and possible predictors of enrollment…

There has been a significant increase in the use of secondary data sets. Many such data sets purport to be nationally representative. Secondary data sets include research commissioned by the National Center for Education Statistics, the Centers for Disease Control, and other public entities. Research increasingly utilizes these secondary data in…

Improving student performance for high-need student populations by improving the use of data in decision-making for early reading intervention programs in northwest Florida is the focus of this research to practice effort. The study is conceptually based on using a relational-feedback intervention (RFI) database model in early learning…

These proceedings contain the papers of the 13th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2016), October 28-30, 2016, which has been organized by the International Association for Development of the Information Society (IADIS), co-organized by the University of Mannheim, Germany, and endorsed by the…

Since the passage of the No Child Left Behind Act (2001), districts, schools, and educators are pressured to collect, analyze and report data annually regarding student performance. If high-stakes assessments are to be useful tools for educators in their classrooms, the data need to be applicable in conveying meaningful instructional information…