The Assessment-to-Instruction (A2i) Professional Support System has been shown to be effective in improving literacy proficiency among young readers by combining data-driven technology with professional development (PD) activities to help teachers provide personalized literacy instruction. To identify efficient ways to expand the reach of A2i,…

Outdoor environmental education programs frequently aim to influence participants' environmental values and behaviors. Published studies have frequently documented their success in doing so. However, few studies have examined the characteristics of programs in relation to accomplishing those goals. Using characteristics identified as important in…

Purpose: This article aims to investigate the impact of the Lesson Study (LS) model on students' mathematics achievement and attitudes toward mathematics. Design/methodology/approach: The study employs a concurrent embedded design, a type of mixed methods design. Within this framework, a quantitative pretest-posttest control group…

Scaling up educational interventions in the STEM (Science, Technology, Engineering, and Mathematics) field is critical but under-researched. We review and draw implications from a series of studies investigating the long-range impact of an implementation of an early mathematics scale-up model based on learning trajectories. Lasting effectiveness…

In this article, the authors unveil the Trade Book Inquiry Design Model (IDM) blueprint. Anchored in a compelling question inspired by a trade book, the new blueprint is broken into two instructional blocks: "Reading and Comprehension" and "Living Social Studies." The inquiry template is designed to be instructionally efficient…

Panel or grouped data are often used to allow for unobserved individual heterogeneity in econometric models via fixed effects. In this paper, we discuss identification of a panel data model in which the unobserved heterogeneity both enters additively and interacts with treatment variables. We present identification and estimation methods for…

This applied dissertation was designed to provide perceptual teacher data as well as summative testing data to educational leaders concerning the effects of implementing Investigations in Number, Data, and Space® (Investigations) in three Title I elementary school settings, two Title I schools, and one non-Title I school. Data collected during…

Purpose: The Santa Ana Unified School District received an i3 grant (Investing in Innovation; funded by the U.S. Department of Education Grant number U411C160074) to build on their existing school climate practices. Called the Enhanced Positive School Climate Model, the aim is to improve school climate, student-adult relationships, create social…

In this study, the Trends in International Mathematics and Science Study 2007 data were used to build mathematics achievement models of fourth graders in two East Asian school systems: Hong Kong and Singapore. In each school system, eight variables at student level and nine variables at school/class level were incorporated to build an achievement…

The purpose of this study was to assess the effectiveness of Uncommon Schools in a turnaround setting. Uncommon was awarded a 2016 grant from the U.S. Department of Education's Investing in Innovation Fund (i3) to support TurnNJ, a project intended to support Uncommon's whole-school turnaround efforts in Camden and Newark, New Jersey. The study…

This study aims to explore an educational learning environment that supports students to learn conceptual modelling with the unified modelling language (UML). In this study, we call the describing models "UML programming." In this paper, we show an educational UML programming environment for science, technology, engineering, art, and…

The purpose of this study was to evaluate the impact of Achieve3000, a differentiated online literacy curriculum, on students' scores on the California State Test (CST). In the 2011-12 school year, 1,957 students in Chula Vista began using Achieve3000's solutions in 3rd through 8th grade. Using a form of propensity score matching called Inverse…

Computer science (CS) and computational thinking (a problem-solving process used by computer scientists) teach students design, logical reasoning, and problem solving--skills that are valuable in life and in any career. Computational thinking (CT) concepts such as decomposition teach students how to break down and tackle a large complex problem.…

This model policy creates a comprehensive early literacy reading policy to ensure all students receive the support and interventions necessary to enter fourth grade as proficient readers.

Background: In elementary grades, comprehensive health education curricula have demonstrated effectiveness in addressing singular health issues. The Michigan Model for Health (MMH) was implemented and evaluated to determine its impact on nutrition, physical fitness, and safety knowledge and skills. Methods: Schools (N = 52) were randomly assigned…