Over the course of 18 months, teams at the University of Chicago and Stanford University joined with other leaders across the United States and world to consider the issue of the types of mathematics used in the classroom. It quickly became clear that all students--starting from the youngest in prekindergarten to those in college--need to learn…

This completely updated edition of "The Almanac of American Education" helps users understand and compare the quality of education at the national, state, and county levels. Compiled from official U.S. government sources, this book contains historical and current data, insightful analysis, and useful graphs that provide compelling…

In this article, the authors introduce the "Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II): A Framework for Statistics and Data Science Education" report. This report, which was published by the American Statistical Association (ASA) and endorsed by the National Council of Teachers of Mathematics…

This completely updated edition of "The Almanac of American Education" helps users understand and compare the quality of education at the national, state, and county levels. Compiled from official U.S. government sources, this book contains historical and current data, insightful analysis, and useful graphs that provide compelling…

Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…

Every 2 years, Education requires nearly all school districts to report incidents of restraint and seclusion. Generally, restraint is restricting a student's ability to move, and seclusion is confining them alone in a space they cannot leave. The House Committee on Appropriations' explanatory statement accompanying the Consolidated Appropriations…

Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…

A local urban school district recently reported that 86% of third graders did not demonstrate proficiency on the Math Standardized Test, which challenges students to solve problems and justify solutions. It is beneficial if these skills are developed prior to third grade. Students may be more academically successful if kindergarten teachers have…

This chapter reviews actionable data use--both as an umbrella term and as a specific concept--developed in three different traditions that data/information can inform and guide P-20 educational practice toward better outcomes. The literatures reviewed are known as data-driven decision making (DDDM), education data mining (EDM), and learning…

As a further step towards maturity, the field of learning analytics (LA) is working on the definition of frameworks that structure the legal and ethical issues that scholars and practitioners must take into account when planning and applying LA solutions to their learning contexts. However, current efforts in this direction tend to be focused on…

The widespread concern about mathematics achievement has drawn extensive research attention to what skills predict later academic achievement. There is clear and consistent evidence that math achievement at school entry is the strongest predictor of later school success and educational attainment. Early childhood math achievement can thus have…

Assessing students at kindergarten entry allows teachers to effectively plan instruction that meets individual student needs, and those of the class as a whole. Maryland uses Ready for Kindergarten (R4K): Maryland's Comprehensive Early Childhood Assessment System, a single coordinated system for measuring the knowledge, skills, and behaviors and…

Teacher educators recognize that teacher candidates must have authentic, scaffolded opportunities to transform knowledge into practice. This study explores teacher candidates' engagement with teacher inquiry as a method for supporting professional development. Findings suggest teacher candidates differ tremendously in their responses to the…

Based on the 2018-2019 Kindergarten Readiness Assessment (KRA) results, nearly half (47%) of all entering kindergarten children in Maryland displayed the foundational skills indicating they are fully ready for kindergarten. A third (33%) are approaching readiness. Twenty percent of children are assessed with emerging readiness skills. The school…

This case study explored the potential applications of data mining in the educational program evaluation of online professional development workshops for pre K-12 teachers. Multiple data mining analyses were implemented in combination with traditional evaluation instruments and student outcomes to determine learner engagement and more clearly…