This action research study's primary purpose was to explore student and instructor experiences of chatbot use in online and hybrid undergraduate English composition courses. This qualitative study used structured and open-ended survey questions, interviews, and chat transcripts to collect data. The collaboration process among researcher and…

The use of the audio medium (e.g., audiobooks and podcasts) is proliferating in everyday and educational contexts. Yet, research investigating text processing in audio compared to the more commonly used print medium is limited in scope. Specifically, the research so far has majorly focused on younger learners or English language learners,…

Assessment is a key component of education. Routine grading of students' work, however, is time consuming. Automating the grading process allows instructors to spend more of their time helping their students learn and engaging their students with more open-ended, creative activities. One way to automate grading is through computer-based…

Research suggests that the language in which we speak, listen, and read may affect how we understand and interact with our environment. Part of this interaction includes understanding affective communication. Recently, more research has explored the area of bilingualism and emotion. The way in which language interacts with thought and emotion…

In light of the ever-increasing capability of computer technology and advancement in speech and natural language processing techniques, automated speech scoring of constructed responses is gaining popularity in many high-stakes assessment and low-stakes educational settings. Automated scoring is a highly interdisciplinary and complex subject, and…

Position postings and professional literature represent opportunity for insights into the expectations of aspiring position applicants as well as describe appropriate skills, experiences and management or leadership approaches that can inform incumbent information executive (e.g. Chief Information Officers and Library Deans) on effective…

Self-assessment is an emerging topic in ASL/English interpreter education that is being recognized as critical for students completing the degree-to-certification process and needs to be thoroughly explored. Using Scaffolding Theory and self-assessment drawn from Self-Directed Learning Theory, this exploratory, qualitative interview study…

Conceptual Metaphor (CM; e.g., Lakoff & Johnson, 1980, 1999; Kovecses, 2020) is central to our thinking and ubiquitously manifested in our language. Given its importance, the teaching of conceptual metaphors has gained much attention in Cognitive Linguistics and Applied Linguistics. While most empirical studies have focused on specific aspects…

Software is an integral part of our lives. It controls the cars we drive every day, the ships we send into space, and even our toasters. It is everywhere and we can easily download more. Software solves many real-world problems and satisfies many needs. Thus, unsurprisingly, there is a rising demand for software engineers to maintain existing…

Because language provides the framework through which knowledge is constructed, it is crucial to consider the ways in which students with limited English proficiencies are able to express their understanding. English language learners (ELLs) make up a significant portion of the student body in the education system and represent many ethnic and…

There is a growing body of work that examines the epistemic beliefs of learners and the role those beliefs play in the development of their critical thinking and other cognitive processes (Hofer, 2001). This study examines the epistemic beliefs of English language learners, a population of learners that is relatively understudied on the topic of…

According to current models of spoken word recognition listeners understand speech as it unfolds over time. Eye tracking provides a non-invasive, on-line method to monitor attention, providing insight into the processing of spoken language. In the current project a spoken lexical processing assessment (LPA) confirmed current theories of spoken…

This dissertation focuses on developing and evaluating hybrid approaches for analyzing free-form text in the medical domain. This research draws on natural language processing (NLP) techniques that are used to parse and extract concepts based on a controlled vocabulary. Once important concepts are extracted, additional machine learning algorithms,…

In this study I introduce BioFrameNet, an extension of the Berkeley FrameNet lexical database to the domain of molecular biology. I examine the syntactic and semantic combinatorial possibilities exhibited in the lexical items used in this domain in order to get a better understanding of the grammatical properties of the language used in scientific…

The research investigated whether a Latent Semantic Analysis (LSA)-based approach to image retrieval can map pixel intensity into a smaller concept space with good accuracy and reasonable computational cost. From a large set of M computed tomography (CT) images, a retrieval query found all images for a particular patient based on semantic…