This multiple descriptive case-study explored the perceptions and experiences of eight occupational therapy program academic fieldwork coordinators (AFWCs), regarding their usage of Formstack, as an online fieldwork data collection system. Previous survey research revealed that AFWCs had positive feelings about the new AOTA Fieldwork Performance…

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…

Data are an essential factor in the fourth industrial revolution, demanding engineers and scientists to leverage and analyze their potential for significantly improving the efficiency of industrial processes and their control systems. In classical industrial process control systems, the models are constructed using linear data-driven approaches,…

Postsecondary Institutions are under pressure to explain their costs. Noninstructional administrative staff represent a significant cost and number of people working in higher education. Postsecondary institutions hire noninstructional staff in response to their specific needs related to educational activity at the institution. Past research on…

This study focuses on undergraduates' preparation for college level courses. In recent international PISA results United States students fall behind seventeen countries on the computer-based reading proficiency test. They have scored low for over a decade, in spite of spending more than one hundred-thousand dollars per student on education. This…

The main goal of learning analytics and early detection systems is to extract knowledge from student data to understand students' trends of activities towards success and risk and design intervention methods to improve learning performance and experience. However, many factors contribute to the challenge of designing and building effective…

Latent change score (LCS) models are a powerful class of structural equation modeling that allows researchers to work with latent difference scores that minimize measurement error. LCS models define change as a function of prior status, which makes it well-suited for modeling developmental theories or processes. In LCS models, like other latent…

Collaborative learning provides learners with significant opportunities to collaborate on solving problems and creating better products. There has been a growing utilization of adaptive and intelligent systems to support productive learning while promoting collaborative practices. One of the core capabilities of these adaptive and intelligent…

This study has three primary objectives. First to provide insight into possibilities for moderation/mediation analysis in education research by discussing analytical methods based on the counterfactual and developed in other disciplines. Second is to highlight specific issues related to mediation and the estimation of effects when the outcome is…

Although familiar in business, the chief data officer position is a relatively new addition to the higher education landscape. As the role is introduced in colleges and universities, it is important to consider the additional challenges that exist within institutions and the higher education sector. Using a qualitative phenomenological approach,…

This dissertation study explores how teachers perceive and use data to inform their instructional practices and ultimately impact student achievement. The research focuses on whether or not data availability impacted how often teachers used data for instructional purposes and if leadership and coaching practices impacted teachers' perception of…

Schools are frequently seen as the hubs of the community, providing resources and a gathering place for members of the community. The process of surveying the community in order to identify unique needs within the community, and then intentionally forging partnerships capable of ameliorating the specific needs, are strategies used by community…

According to the United States Department of Education (2012, 2016), degree completions are a vital measure of overall institution success. Significantly, declining student persistence rates and low degree completions are consistent problems in public colleges throughout the United States. Not only are diminishing retention and incomplete degrees…

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…

The problem addressed in this study is that the potential roles of an artificial intelligence-enhanced chatbot using big data in e-learning in higher education were not widely documented in the research community. The purpose of this qualitative case study was to explore the potential roles of an artificial intelligence-enhanced chatbot using big…