Our research aims to predict students' academic performance by considering the variables affecting academic performance in science courses using the deep learning method from machine learning algorithms and to determine the importance of independent variables affecting students' academic performance in science courses. 445 students from 5th, 6th,…

This brief examined the patterns of reading achievement using statewide data from all students (Grades 3-10) in multiple years to examine gaps based on student, school, and district characteristics. Results indicate reading achievement varied most between students within schools and that students' prior achievement was the strongest predictor of…

The purpose for this correlational, cross-sectional, explanatory was to explain the influence of the length of the school day on the total percentage of students who scored Proficient or Advanced Proficient (TPAP) on the New Jersey Ask (NJ ASK) in Language Arts and Mathematics in Grades 6-8 in for student populations with low, median, and high…

The purpose of this study was to examine the effectiveness of dropout predictors across time. Two state-level high school graduation panels were selected to begin with the seventh and ninth grades but end at the same time. The first panel (seventh grade) contained 29,554 students and used sixth grade predictors. The second panel (ninth grade)…

Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…

As charter school waitlists around the United States continue to grow, it is important to analyze the factors that are possibly attracting parents away from the traditional public school setting and into the charter school system. Using waitlist data from Pennsylvania to proxy for parental valuation, the article examines numerous factors that…

The study examined the effect of charter school attendance on annual student achievement growth in math and reading. The research described in this report meets WWC evidence standards with reservations. WWC Rating Strengths: The study matched charter school students with similar students in traditional public schools using demographic and academic…

In recent decades, much attention has been focused on student achievement in the United States. Many policy initiatives have been attempted in an effort to bolster achievement, including increasing school revenue, decreasing class size, expanding early childhood programs, and introducing vouchers and charter schools, to name a few, but not all of…

One of the educational reform methods sanctioned under No Child Left Behind legislation is the development of charter schools (King, 2007). While many studies have focused on comparing the student academic achievement rates of charter schools to traditional public schools, little empirical research exists comparing student academic achievement…

The purpose of this study was to investigate the relationship between teacher attitude toward Black English and student achievement in reading. For this study, 61 teachers of reading or English/Language Arts in grades 3-6 were surveyed. These teachers, whose informed consent letters indicated a willingness to participate, were selected from 17…

The purpose of this study was to explore the relationship of three subskills associated with word decoding. The skills utilized for this study were phonological, rapid automatized naming (RAN), and orthographic processing. To do this, six separate models were utilized to define different ways that these three subskills (represented as factors)…