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…

We study flexible Bayesian methods that are amenable to a wide range of learning problems involving complex high dimensional data structures, with minimal tuning. We consider parametric and semiparametric Bayesian models, that are applicable to both static and dynamic data, arising from a multitude of areas such as economics, finance and…

Terrorism is a complex and evolving phenomenon. In the past few decades, we have witnessed an increase in the number of terrorist incidents in the world. The security and stability of many countries is threatened by terrorist groups. Perpetrators now use sophisticated weapons and the attacks are more and more lethal. Currently, terrorist incidents…

Numerous organizations collect and distribute non-aggregate personal data for a variety of different purposes, including demographic and public health research. In these situations, the data distributor is responsible with the protection of the anonymity and personal information of individuals. Microaggregation is one of the most commonly used…

This study strived to determine the effectiveness of the AR phonics program relative to the effectiveness of the scripted phonics program for developing the letter identification, sound verbalization, and blending abilities of kindergarten students considered at-risk based on state assessments. The researcher was interested in pretest and posttest…

Temporal data are increasingly prevalent and important in analytics. Time series (TS) data are chronological sequences of observations and an important class of temporal data. Fields such as medicine, finance, learning science and multimedia naturally generate TS data. Each series provide a high-dimensional data vector that challenges the learning…

Education planning provides the policy maker and the decision maker a logical framework in which to develop and implement education policy. At the international level, education planning is often confounded by both internal and external complexities, making the development of education policy difficult. This research presents a discrete event…

Educational video games have the potential to be used as assessments of student understanding of complex concepts. However, the interpretation of the rich stream of complex data that results from the tracking of in-game actions is so difficult that it is one of the most serious blockades to the use of educational video games or simulations to…

In the modern world information has become the new power. An increasing amount of efforts are being made to gather data, resources being allocated, time being invested and tools being developed. Data collection is no longer a myth; however, it remains a great challenge to create value out of the enormous data that is being collected. Data modeling…

Many methods exist for imputing missing data but fewer methods have been proposed to test the missing data mechanism. Little (1988) introduced a multivariate chi-square test for the missing completely at random data mechanism (MCAR) that compares observed means for each pattern with expectation-maximization (EM) estimated means. As an alternative,…

This mixed method study explored and analyzed instructional strategies utilized by algebra teachers whose students' coursework culminated in the New York State Regents Examination in Integrated Algebra and for whom 50% of the tested cohort earned mastery level (85 or higher) on the examination. The targeted populations were eighth or ninth grade…

Clustering is one of the most common data mining tasks, used frequently for data organization and analysis in various application domains. Traditional machine learning approaches to clustering are fully automated and unsupervised where class labels are unknown a priori. In real application domains, however, some "weak" form of side…

Every educator's quest is to help students learn in the environment that will allow them to obtain and retain the information presented to them. In the new age of technology, more students are able to choose the environment in which they learn. This study is a quantitative comparative study of the academic performance between online and…

Since the passage of the No Child Left Behind Act (NCLB) in 2001, public school systems have been engaged in a system of educational reform fueled by a level of accountability that includes not only the performance of the students, but also the performance of the teachers and the administrators. Recent studies have found that student achievement…

This study compared the leadership orientations of Texas superintendents who had completed the Lamar University Executive Leadership Academy for Superintendents (LUELAS) with superintendents who had not completed the training. Specifically, this study was designed to determine whether there is a significant difference between the leadership…