The release of ChatGPT in 2022 has generated extensive speculation about how Artificial Intelligence (AI) will impact the capacity of institutions for higher learning to achieve their central missions of promoting learning and certifying knowledge. Our main questions were whether people could identify AI-generated text and whether factors such as…

In this dissertation, I investigate how people navigate ambiguity in everyday speech, with a focus on quantifier-negation sentences. Combining corpus analysis, behavioral experiments, and computational modeling in the Rational Speech Act framework, I explore preferred interpretations of quantifier-negation and examine the contexts and prosodies…

This paper presents a comprehensive research project aimed at investigating the transitional supports necessary for nontraditional students both prior to and following their entry into higher education. The overarching research question guiding this study is, in which states does the YouthBuild Program appear to be most effective? This research…

We collected data on students' self-assessment behavior from four sections of a Calculus II course. Students were asked to write their expected scores on each of the weekly in-class quizzes and problems in the exams, immediately after they completed them. They were then asked to justify their expectation in writing. One-on-one interviews were…

Worldwide, the COVID-19 pandemic and the growing reliance on technology underscored the need for K-12 teachers to be digitally competent and able to teach their students 21st century digital skills. The purpose of this quantitative correlational predictive study was to examine if and to what extent perceived usefulness of technology and perceived…

One of the keys to the success of collaborative learning is balanced participation by all learners, but this does not always happen naturally. Pedagogical robots have the potential to facilitate balance. However, it remains unclear what participation balance robots should aim at; various metrics have been proposed, but it is still an open question…

Advocates often predict that school choice policies will expand access to high-quality schools, particularly for marginalized communities. To interrogate this assumption, we employed a sequential mixed-methods analysis examining the state of charter reform in the District of Columbia. We observed that stakeholders consistently defined equity as…

The current study aims to contribute to the literature on how organic chemistry students weigh various factors when predicting products of substitution and elimination reactions. This study focuses specifically on these mechanism types, as they are often the first instances where students must consider the "how" and the "why"…

Little is known about factors that predict attendance in strengths-focused, culturally grounded, family-based programming to prevent adverse childhood experiences (ACEs) among Indigenous populations in the USA. An understanding of these factors may help to create initiatives to reduce barriers to attending programming that could reduce ACEs and…

Theories of reading comprehension have widely predicted a role for syntactic skills, or the ability to understand and manipulate the structure of a sentence. Yet, these theories are based primarily on English, leaving open the question of whether this remains true across typologically different languages such as English versus Chinese. There are…

Suicidal ideation is a high risk factor for suicidal behavior in disadvantaged adolescents. This study aimed to reveal the potential mechanism underlying the influence of bullying victimization on suicidal ideation among boarding adolescents. A total of 2317 boarding adolescents from rural schools in Southwest China completed four questionnaires,…

Background/purpose: This study aims to reveal in detail the extent to which the variables in The Primary and Secondary Education Institutions Scholarship Examination (PSEISE) predict the success of students on the scholarship exam with the help of artificial neural networks (ANN). In addition, in light of the findings obtained as a result of the…

The increased prevalence of suicide among autistic people highlights the need for validated clinical suicide screening and assessment instruments that are accessible and meet the unique language and communication needs of this population. We describe the preliminary preregistered psychometric validation of the Suicide Assessment Kit-Modified…

Choosing an undergraduate major is an important decision that impacts academic and career outcomes. In this work, we investigate augmenting personalized human advising for major selection using a large language model (LLM), GPT-4. Through a three-phase survey, we compare GPT suggestions and responses for undeclared first- and second-year students…

Enlightened by the tenets of positive psychology (PP), well-being is regarded as a critical construct in the educational situation. The other factor is resilience documented as a precarious value among medical students that will allow them to deal with the challenges faced in both their educations and future professions. Furthermore, grit is…