Previous measures of the incidence of public investment in higher education focus on the transfer to public college students. This implies that the net benefits to students who do not attend public colleges is negative. However, they miss potential general equilibrium effects on the private college and labor markets. Changes in the public college…

In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…

Feedback on student answers and even during intermediate steps in their solutions to open-ended questions is an important element in math education. Such feedback can help students correct their errors and ultimately lead to improved learning outcomes. Most existing approaches for automated student solution analysis and feedback require manually…

Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…

This report focuses on data governance at post-secondary institutions and related organizations. Data governance is defined as the formal execution and enforcement of authority over the management of data and data-related assets (Seiner, 2014). An overview of data governance at higher education institutions provides detail on elements of data…

National and state-based assessments have been a common practice for the past several decades. These assessments often come with high-stake consequences for students and schools, which tends towards the creation of a test-centric environment where educators prioritize test-based instruction to prepare students to be successful on those…

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…