Curriculum Associates' i-Ready is an adaptive diagnostic and individualized instructional tool that has been used in M-DCPS in the last few years. In addition, Curriculum Associates provides the District with results of their predictive model, which uses the students' outcomes on the Fall and Winter i-Ready diagnostic testing as well as the…

Curriculum Associates' i-Ready is an adaptive diagnostic and individualized instructional tool that has been used in M-DCPS in the last few years. In addition, in 2016-2017, Curriculum Associates provided the District with results of their predictive model, which used the outcomes of the Fall and Winter i-Ready diagnostic testing to estimate the…

The purpose of this study was to determine the influence, if any; assignment to an inclusive secondary language arts classroom setting has on the academic performance of grade 11 nondisabled general education students in two suburban New Jersey High Schools. Using a sampling process known as Propensity Score Matching (PSM), a statistical technique…

Achieve3000®, a web-based differentiated reading program based on the Lexile® Framework and designed to improve student reading ability and comprehension of increasingly complex texts, was made available to approximately 100,000 secondary students across 98 HISD schools during the 2017-2018 academic year. The present evaluation, using a select…

Background: In an ongoing effort to improve teacher quality, most states require continuing education or professional development for their in-service teachers. Studies evaluating the effectiveness of various professional development programs have assumed a normal distribution of quality of teachers participating in the programs. Because…

This investigation sought to determine when colleges should conduct assessments to identify first-year students at risk of dropping out. Thirty-five variables were used to predict the persistence of 2,024 first-year students from four universities in the southeastern United States. The predictors were subdivided into groups according to when they…

In this paper, we investigate the correspondence between student affect and behavioural engagement in a web-based tutoring platform throughout the school year and learning outcomes at the end of the year on a high-stakes mathematics exam in a manner that is both longitudinal and fine-grained. Affect and behaviour detectors are used to estimate…

Given the increasing costs associated with commercial textbooks and decreasing financial support of public schools, it is important to better understand the impacts of open educational resources on student outcomes. The purpose of this quantitative study is to analyze whether the adoption of open science textbooks significantly affects science…

Predicting student success has long been a question of interest for postsecondary admission counselors throughout the United States. Past research has examined the validity of several methods designed for predicting undergraduate success. High school record, standardized test scores, extracurricular activities, and combinations of all three have…

As the reauthorization of NCLB looms on the horizon, many states have made the decision to re-evaluate the teacher role in the classroom as it relates to student achievement. The accountability era in public education has evolved over the last decade to encompass broad changes, some good, some questionable. In education it takes time determine the…

Turning around chronically low-performing schools requires a multifaceted school-wide, systematic effort that includes strong leadership and data-based decision making. School-wide efforts to turn-around low-performing schools should address the academic, social, and behavioral needs of all students. One evidence-based, systematic school-wide…

Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…

To examine how neighborhood characteristics influence academic achievement, data were drawn from a community survey of low-income neighborhoods and linked with data on performance on standardized testing for third-grade students attending elementary schools in those communities. Results of multilevel logistic regressions indicated that probability…

Transcripts of 19,736 students who consecutively attended Florida high schools for four years and graduated in the spring of 1994 were analyzed to determine how course choice, grades, tenth grade standardized test score results, race, and gender affected performance on a computerized placement test (CPT) administered upon entry to community…