Clustering, a prevalent class of machine learning (ML) algorithms used in data mining and pattern-finding--has increasingly helped engineering education researchers and educators see and understand assessment patterns at scale. However, a challenge remains to make ML-enabled educational inferences that are useful and reliable for research or…

Statistics & data science are growing, rapidly evolving, and increasingly important for an informed citizenry in a data-saturated world. In this dissertation, I address two central questions: (1) who is taking statistics? and (2) what are statistics courses teaching? I estimate that 920,000 US students take statistics in high school each year,…

This quantitative, causal-comparative study aims to examine the academic performance of all third-grade students who participated in after-school tutoring from English Language Arts (ELA) in comparison to those who did not, using the results from the 2022-2023 Mississippi Academic Assessment Program English Language Arts (MAAP ELA) assessment. The…

New forms of visualizations are transforming how people interact with data. This dissertation explored how undergraduates learn with infographics. The following questions guided this research: (i) What do we know about the factors influencing the processing of data visualizations? (ii) How do task-level and learner-level characteristics impact the…

The purpose of this study was to examine the attributes included in the creation, interpretation and implementation of learner profiles in elementary personalized learning environments as well as to understand elementary teachers' perceptions regarding learner profiles in personalized learning environments. The researcher employed a convergent…

Graduation from high school is a commonly accepted measurement of academic achievement within the PK-12 education system. Failure to meet this academic milestone is well noted to result in unfavorable outcomes in the transition to, and throughout, adulthood; negatively impacting individuals' health and employment opportunities, while increasing…

This study sought to better understand present-day relationships between institutional and programmatic characteristics and their impact on student outcomes at postsecondary career and technical schools. This is critical given: (a) the existence of a significant middle-skills gap impacting the U.S. economy; (b) a lack of research and guidance for…

The purpose of this study was to evaluate the relationship of pre-entrance factors and the success of students in an Associate of Applied Science (A.A.S.) degree nursing program at a community college in East Tennessee. The criterion variable was success in the nursing program. Success was defined as academic success in all nursing courses and…

In this descriptive study, I examined data from the Bill and Melinda Gates Millennial Scholars Cohort 3 Survey Data whom are high- achieving, low-income, historically marginalized college students, to identify the unique characteristics of students whose parents have not attended college. More specifically, academic preparation, academic…

Many students have difficulty performing well in Calculus 1. Since Calculus 1 is often the first math course that people take in college, these difficulties can set a precedent of failure for these students. Using tools from data mining and interviews with Precalculus and Calculus 1 students, this work seeks to identify the different types of…

Purpose: This research was intended to identify some of the factors that impact student veterans' well-being, based on their unmet needs. Research by the USC School of Social Work Center for innovation and Research on Veterans & Military Families USC-CIR (2015) found that many service members separate from the military ill-equipped to begin…

This study examined the college choice process of transfer student veterans who are currently enrolled in a public research university. The research presented in this dissertation utilized both quantitative and qualitative strategies to identify key factors in students' college choice process. This study focuses on the following two research…

This research took place as a cognitive exploration of sensemaking of learning analytics at Ivy Tech Community College of Indiana. For the courses with the largest online enrollment, quality standards in the course design are maintained by creating sections from a course design framework. This means all sections have the same starting content and…

The purpose of this study is to examine the impacts of integrating new literacies practices into high school curriculum content classrooms. This study examined data collected through observations and semi-structured interviews conducted with four high school content curriculum teachers. Analysis of the data resulted in essential findings emerging…

Demands on higher education institutions are growing. Stakeholders are demanding proof of quality to ensure students are receiving the education they are paying for. Institutional accountability is a growing concern for higher education institutions, more specifically community colleges. The diverse characteristics of community colleges have made…