In this work, we introduce a novel oversampling technique, the theory of inheritance and Gower distance-based oversampling (TIGO) method, designed to address class imbalance issues in mixed categorical and continuous variables data set. Drawing inspiration from genetic inheritance principles, TIGO synthesizes new minority class data,…

The purpose of this study is to determine if personality traits can predict the coaching intervention style preferences of teachers in the United States of America. The rationale for this study is to gain a better understanding of whether there are personality traits that are better suited to particular coaching techniques/methods. To address this…

University leaders do not have sufficient tools easily available to guide their decision-making related to institutional financial wellbeing. Currently, many financial indicators used by leaders of tuition-dependent higher education institutions are not focused on vital metrics such as liquidity and cash earnings. The twofold purpose of this…

The Critical Thinking Assessment Test (CAT) is a tool for evaluating students' critical thinking skills in various educational institutions within and outside the United States. While institutions regard the CAT as a high-stakes assessment, students may perceive it as a low-stakes test due to its lack of personal or academic repercussions. This…

This study addressed a critical gap in the literature by investigating the relationship between organizational culture and mission drift within Christian higher education. While mission drift has been widely discussed in popular press, limited academic research has explored the factors influencing it, particularly organizational culture. Utilizing…

Past research on knowledge has differentiated between dimensions of knowledge, for example amount or coherence. This dissertation introduces a novel dimension of knowledge, the Motivational Utility of Knowledge (MUK), that is based on hierarchies of human needs (e.g., physical safety, status/esteem, actualization, reproduction). The effects of MUK…

This dissertation examines the effectiveness of machine learning algorithms and feature engineering techniques for analyzing process data and predicting test performance. The study compares three classification approaches and identifies item-specific process features that are highly predictive of student performance. The findings suggest that…

Algorithms may be better at prediction than humans in a variety of contexts, but they are not perfect. A deeper understanding of the ways in which educators use and question algorithmic advice within their professional domain is needed. Educators are a particularly unique professional group, in comparison with the other groups studied in the…

Foundations of statistics research aims to establish fundamental principles guiding inference about populations under uncertainty. It is concerned with the process of learning from observations, notions of uncertainty and induction, and satisfying inferential objectives. The growing interest in predictive methods in high-stakes fields like…

In recent years, converging evidence has suggested that prediction plays a role in language comprehension, as it appears to do in information processing in a range of cognitive domains. Much of the evidence for this comes from the N400, a neural index of the processing of meaningful stimuli which has been argued to index the extent to which a word…

The research problem addressed in this study is that racial bias programmed into predictive algorithm recommendations negatively impacts students in historically underrepresented groups. The purpose of this qualitative descriptive study was to explore the perception of algorithm accuracy among data professionals in higher education and explore the…

Using the Learning Analytics in Higher Education model (Lester et al., 2017) as a framework and qualitative methods (Merriam & Tisdale, 2016), I explored advising administrators' perspectives relating to predictive analytics (PA) and underrepresented minority (URM) students, specifically their thoughts on how they perceive PA on their…

This dissertation examined classification outcome differences among four popular individual supervised machine learning (ISML) models (logistic regression, decision tree, support vector machine, and multilayer perceptron) when predicting minor class membership within imbalanced datasets. The study context and the theoretical population sampled…

The authenticity of a leader impacts the organizational environment and contributes to the success and stability of the individual, the team, and the organization. Although emotional intelligence has been used as a predictor of authentic leadership, the assessment of the leader has been largely self-reported. The purpose of this quantitative…

Organizational commitment and knowledge management are both crucial factors in the growth of an organization. The quantitative, correlational-predictive study was to examine if and to what extent the constituents of KM together predicted organizational commitment for high school employees in USA. Based on the premise that the relationship of…