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…

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…

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…

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…

Florida State University researchers spent the last year collecting and analyzing data on corequisite developmental education (DE) models in Texas as part of a four-year study that received a $1.5M grant from the U.S. Department of Education's Institute of Education Sciences. This study was proposed in response to Texas House Bill (HB) 2223, which…

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…

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…

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…

We analyzed the effects of a game-based, supplemental fraction curriculum on fourth and fifth grade students' fraction knowledge, engagement, and STEM interest. Students with and without disabilities with intersecting identities (e.g., race, disability status, gender) comprised the sample. Results indicate significant differences in fraction…

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 quantitative research study considered three academic factors, seven student-level variables, and four success measures across ten years of academic data related to undergraduate remedial mathematics beginning with the 2009-2010 academic year and ending with the 2018-2019 academic year. Secondary data was used to determine if there was a…

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…

Developmental or remedial education is a strategy that assists underprepared or unprepared students. Though prominent in the higher education remedial education landscape, low course and degree completion rates plague developmental mathematics courses. Research is replete with studies addressing students' underpreparedness for college-level…

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…