Completion of remedial mathematics has been identified as one of the keys to college success. However, completion rates in remedial mathematics have been low and are of much debate across America. This study leverages machine learning techniques in trying to predict and understand completion rates in remedial mathematics. The purpose of this study…

This quantitative, correlational-predictive study examined the predictive relationship of the NWEA's Map Growth projected proficiency report data with students' STAAR scores in the area of mathematics, using archival data from the 2021-2022 school year. The theoretical foundation for this study was provided by Vygotsky's zone of proximal…

This study explores three understudied facets--quadratic effects, change over time, and gender as a moderator--of the otherwise well-documented relationships between statistics anxiety and academic performance. Using pre- and post- course survey data among a sample of 111 undergraduate students in Social Statistics courses at a U.S. Midwestern…

Prior work has shown that students' self-reported levels on social-emotional measures predict achievement levels and gains, but we have little evidence on whether within-student changes in self-reports on social-emotional surveys are predictive of changes in theoretically related academic and behavioral outcomes. We use large-scale data from the…

The aim of this study is to determine the effect of class attendance during distance education process on academic success. The research was conducted among 46 students studying in sixth and seventh graders in a private educational institute in Elazig city. As data collection tool, four achievement tests designed at the Central Office of relevant…

This study investigated the growth trajectory of academic achievement in Math and English among 519 students in a vocational senior high school in Taiwan. Covering the complete individual learning profile, our dataset included pre-enrollment variables, periodic test scores, and college entrance examination scores. We employed a group-based…

Considering the large volume of PISA data, it is expected that data mining will often be assisted in making PISA data more meaningful. Studies show that different dimensions of ICT may reveal different relationships for mathematics achievement. The purpose of this article is to evaluate the success of the decision tree classification algorithms in…

In this study, in line with TIMSS 2019 data, 8th grade students' school engagement in the Turkish education system and various variables in the field of science and mathematics, which are thought to be related to school engagement, were examined with the Random Forest method, a method amongst data mining methods. This research focuses on student…

This research tested a mediation model, examining whether individual differences in mothers' school readiness beliefs influenced home literacy practices and children's later academic achievement among African American (n = 114) and primarily Mexican origin Latina mothers (n = 164) and their children. Mothers of children ages 3-4 years reported…

The current article reexamines the correlation between achievement test scores and earnings by providing new evidence on the association between academic skills and measures of adult earnings assessed when participants were in their 30s, 40s, and 50s. Results suggest that math and reading scores are strong predictors of economic attainment…

Using the Trends in International Mathematics and Science Study Data (TIMSS) 2015 dataset, this study examines 30 different contextual indicators to determine significant predictors of girls' mathematics achievement globally. The study design employs three nested levels in the hierarchical linear model (individual, classroom, and nation) to…

In this dissertation, acceleration in developmental mathematics at Utah Valley University through compression of a 4-course sequence into a 2-course sequence was examined to determine the extent to which sequence length predicted student success outcomes, including completion of, pass/fail grades in, and re-enrollment into subsequent developmental…

Recent work has demonstrated that having students study worked examples and answer self-explanation prompts as part of their problem-solving practice improves learning on researcher-developed measures of mathematical proficiency. However, little work has been done to date to investigate whether these benefits translate to improvements on the types…

There is a considerable body of research on children's number knowledge development, and in particular on children ages 4 years and older and who have some counting experience. Children in early care preschool settings (ages 2 and 3) and who are not yet experienced counters are an understudied population. We conducted a multiple-case study on five…

This study offers a novel approach to evaluating the predictors of first-year grade point average (FYGPA) in college by using multiple imputation and dominance analysis to compare high school GPA (HSGPA), ACT® test score, and demographic factors. Unlike previous research that typically relied on single regression models, this study reveals more…