Consistency of learning behaviors is known to play an important role in learners' engagement in a course and impact their learning outcomes. Despite significant advances in the area of learning analytics (LA) in measuring various self-regulated learning behaviors, using LA to measure consistency of online course engagement patterns remains largely…

McMillan Public Schools (MPS) is a public school system in the southeastern part of the United States that serves approximately 28,000 students. Gregory Middle School (GMS) is one of 52 schools within MPS that serves 985 students. I used MPS and GMS as pseudonyms to anonymize the school system and school. In July 2019, I was appointed as the…

This dissertation studies how institutions of higher education occupy a unique space that can add to the discourse of business studies by relating how consumers can simultaneously function as products. This is substantiated by defining the word "student" beyond the traditional meaning of a student as learner when considering the higher…

Educational data mining focuses on exploring increasingly large-scale data from educational settings, such as Learning Management Systems (LMS), and developing computational methods to understand students' behaviors and learning settings better. There has been a multitude of research dedicated to studying the student learning process, leading to…

Caring is a core-concept in the nursing profession, but the nature of the academia influences how caring is demonstrated in the faculty-student relationship making this a complex topic. Faculty are called upon to serve in a variety of roles, some of which may cause contention with nursing students. The purpose of this study was to understand gaps…

The Next Generation Science Standards (NGSS) have invigorated a large push towards the expectation that students should engage in science as scientists do. This requires teachers to have the skills necessary to able to hear and engage with their students' science ideas. The current study draws from two constructs, teacher professional noticing and…

This study aimed to examine the website content and navigation of the Texas A&M University System to determine what it suggests about TAMUS institutional commitment to disability as diversity. This study sought to replicate and extend research by Gabel et al. (2016), who conducted a critical discourse study and content analysis on the…

Researchers often include covariates when they analyze the results of randomized controlled trials (RCTs), valuing the increased precision of the estimates over the potential of inducing small-sample bias when doing so. In this paper, we develop a sufficient condition which ensures that the inclusion of covariates does not cause small-sample bias…

There is limited research examining professional development for general and special education teachers implementing self-determination interventions. This study presents outcomes of a 2-day professional development training for the Self-Determined Learning Model of Instruction (SDLMI) for general and special educators guided by key elements of…

There is limited research examining professional development for general and special education teachers implementing self-determination interventions. This study presents outcomes of a 2-day professional development training for the Self-Determined Learning Model of Instruction (SDLMI) for general and special educators guided by key elements of…

The inclusion of the practice of "developing and using models" in the "Framework for K-12 Science Education" and in the "Next Generation Science Standards" provides an opportunity for educators to examine the role this practice plays in science and how it can be leveraged in a science classroom. Drawing on conceptions…

By the time they reach early adulthood, English speakers are familiar with the meaning of thousands of words. In the last decades, computational simulations known as distributional semantic models (DSMs) have demonstrated that it is possible to induce word meaning representations solely from word co-occurrence statistics extracted from a large…

Statistical inference simply means to draw a conclusion based on information that comes from data. Error bars are the most commonly used tool for data analysis and inference in chemical engineering data studies. This work demonstrates, using common types of data collection studies, the importance of specifying the statistical model for sound…

Apprenticeship systems across the globe are having to adapt to changing international economic and social trends. England is no exception. This article examines the latest model of apprenticeship in England from the perspective of the "mediators" who work at local and regional level with employers to construct and deliver the majority of…

It is very common to find in contemporary literature of Differential Equations, the need to incorporate holistically in teaching and learning the three different approaches: analytical, qualitative, and numerical, for continuous dynamical systems. However, nowadays, in some Bachelor of Science that includes only one course in differential…