Natural language contains a variety of means for expressing possibilities consistent with what is known. Particularly well-studied among them are the epistemic modal auxiliaries "might" and "must": (1) a. Ann: "Where is Peter?" b. Mary: "He {might/must} be in his office." There is broad agreement that…

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 Premack principle states that any Response A can reinforce any other Response B if the independent rate of A is greater than the independent rate of B (Premack, 1959). Applying the Premack principle involves arranging the environment to restrict access to certain responses based on relative probabilities of a set of given responses (Timberlake…

The internal lateral transfer student population, defined as students who transition from one bachelor's granting campus to another within one multicampus institution, is often left out of the literature in the field of transfer studies (Cepeda et al., 2021; Jaggars et al., 2023). The present study investigates the relationship between stigma,…

The ability to relate physical concepts and phenomena to multiple mathematical representations--and to move fluidly between these representations--is a critical outcome expected of physics instruction. In upper-division quantum mechanics, students must work with multiple symbolic notations, including some that they have not previously encountered.…

Bayesian network is a probabilistic graphical model that has wide applications in various domains due to its peculiarity of knowledge representation and reasoning under uncertainty. This research aims at Bayesian network structure learning and how the learned model can be used for reasoning. Learning the structure of Bayesian network from data is…

This dissertation measures and describes the factors that impact doctoral student persistence. Using a mixed methods cases study design, I analyzed institutional student record data, survey data on caregiving responsibilities, and data from semi-structured interviews with PhD students at a STEM-focused, public research university in the American…

The typical collegiate introductory statistics course poses significant challenges for students. Many do not fully comprehend key course skills, and it is common for students to exit the class with a neutral or negative attitude toward statistics. To measure the impact of using relevant contextual examples as an instructional strategy during a…

This study uses secondary data to explore the relationship between the percentage of Latinos enrolled in a postsecondary institution and two educational outcomes: graduating within six years and total amount in student loan debt. Research on the concentration of Latino students in higher education have mostly focused on Hispanic Serving…

The typical collegiate introductory statistics course poses significant challenges for students. Many do not fully comprehend key course skills, and it is common for students to exit the class with a neutral or negative attitude toward statistics. To measure the impact of using relevant contextual examples as an instructional strategy during a…

The typical collegiate introductory statistics course poses significant challenges for students. Many do not fully comprehend key course skills, and it is common for students to exit the class with a neutral or negative attitude toward statistics. To measure the impact of using relevant contextual examples as an instructional strategy during a…

The aim of this study was to understand the factors that affect returning students' ability to complete their degrees through online degree programs. Logistic regression was used to determine which factors had a significant relationship with persistence to graduation and how they contributed to the odds of students graduating. The findings show…

The field of Linguistics has long been interested in the verb meanings of intransitive verbs and their argument structure, specifically the breakdown of intransitive verbs into unaccusative and unergative verb types. Despite extensive research, a universally applicable explanation for this breakdown remains elusive due in part to the variability…

The purpose of this quantitative correlational-predictive study was to determine if and to what extent students' Cognitive Ability, first-term GPA, and ethnicity predict student graduation status from a CTE college in Texas. Student retention rates continue to be a cause for great concern for higher learning, even more so for CTE institutions.…

Students leaving institutions of higher education prior to graduation leads to millions of dollars in lost revenue (Sutter & Paulsen, 2016; Undergraduate Retention and Graduation Rates, 2018). Retention theorists Tinto (1975) and Kuh (2008) recommend practices such as academic interaction, social interaction, faculty engagement with students,…