Graph Signal Processing (GSP) plays a crucial role in addressing the growing need for information processing across networks, especially in tasks like supervised classification. However, the success of GSP in such tasks hinges on accurately identifying the underlying relational structures, which are often not readily available and must be inferred…

This dissertation examines whether and how psycholinguistic priming, and social knowledge are integrated in the identification of sociolinguistic variants. Using the English variable (ING), the alternation between -ing and -in' (e.g. thinking vs. thinkin') as a testing ground, this dissertation probes whether and how individuals utilize…

The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…

Disruptive innovations are used to lower costs and augment access to high-quality, affordable higher education, but little systematic research is available on the topic. Higher education institutions use disruptive innovations to save students time and money. To understand the process of disruptive innovation, I investigated the rapid diffusion of…

Subject-verb agreement constitutes a robust characteristic of French. However, especially at beginner and intermediate levels, second language (L2) learners might substitute or fail to recognize an infinitive for a conjugated verb, or a 3rd person singular form for a plural form, as "Les enfants mangera" (The children will eat--3rd…

This dissertation aims to develop the Generator of the Event Structure Lexicon (GESL) which is a tool to automate annotating the event structure of verbs in text to support textual inference tasks related to lexically entailed subevents. The output of the GESL is the Event Structure Lexicon (ESL), which is a lexicon of verbs in text which includes…

The field of spoken language processing is concerned with creating computer programs that can understand human speech and produce human-like speech. Regarding the problem of understanding human speech, there is currently growing interest in moving beyond speech recognition (the task of transcribing the words in an audio stream) and towards…

This dissertation investigates the temporal relation identification task. The goal is to construct consistent temporal relations between temporal entities (e.g., events and time expressions) in a narrative. Constructing consistent temporal relations is challenging due to the exponential increase in the number of candidates for temporal relations…

This research examines issues regarding model estimation and robustness in the use of Bayesian Inference Networks (BINs) for measuring Learning Progressions (LPs). It provides background information on LPs and how they might be used in practice. Two simulation studies are performed, along with real data examples. The first study examines the case…

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…

The pronunciation of a word represented in an alphabetic writing system (such as this one) is relatively transparent--but a language's sounds change over time and vary across space, while its spellings remain relatively static, resulting in some amount of divergence between the written and spoken forms. The introduction of loanwords and…

Japanese has a rich set of focus particles, several exclusive and additive particles, and, in addition, contrastive particles. This thesis provides a formal description of the meanings of Japanese focus particles and addresses two general questions: "What kinds concepts do Japanese focus particles express?" and "Why does Japanese have a larger…

Children's language and world knowledge grows explosively in the preschool years. One critical contributor to this growth is their developing ability to infer relations beyond those that have been directly taught or modeled. Categorization is one type of skill commonly taught in preschool in which inference is an important aspect. This study…

Cognitive diagnostic assessment (CDA) is a new theoretical framework for psychological and educational testing that is designed to provide detailed information about examinees' strengths and weaknesses in specific knowledge structures and processing skills. During the last three decades, more than a dozen psychometric models have been developed…

This study characterizes how a cohort of 33 middle and secondary mathematics preservice teachers' inferential reasoning changed while enrolled in a statistics course designed for future teachers. Changes in inferential reasoning from pre- to post-assessments are analyzed and further elucidated by midcourse clinical interviews conducted with a…