UMD Theses and Dissertations

Permanent URI for this collectionhttp://hdl.handle.net/1903/3

New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a given thesis/dissertation in DRUM.

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    TOWARD A THEORY-BASED ACCOUNT OF THE L2 VOCABULARY PROCESSING AND LEARNING BENEFITS OF READING WHILE LISTENING
    (2024) Malone, Jonathan; Gor, Kira; Hui, Bronson; Second Language Acquisition and Application; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    The tantalizing prospects of learning benefits from multimodal conditions on second language (L2) learning in general, and L2 vocabulary development in particular, have important implications. Indeed, opening a language learning app on any device provides the immediate experience of simultaneous input modalities, and a wide range of input types. But how helpful is multimodality to vocabulary learning, especially when the focus of the learner is on the meaning of a text? Researchers have manipulated input to compare a variety of learning conditions and examined vocabulary learning gains. However, relatively few within second language acquisition (SLA) have utilized real-time monitoring of learner behavior to examine how learners encounter new words over multiple exposures during a reading task, and how the quality of these encounters may or may not influence explicit learning outcomes. Even fewer have mapped differences in the developmental trajectory of form-form and form-meaning mapping for new words at the group level, comparing reading only (RO) with reading while listening (RWL). Crucially, to my knowledge, none have made or tested predictions within RWL on possible psycholinguistic source(s) of reported benefits. Our understanding of outcome benefits, along with implications for optimizing input in classroom or individual instructed contexts, is thereby quite limited. My dissertation study was designed to address each of these issues. 119 advanced English learners read or read while listening to a 7,400-word short story under incidental conditions (time pressure, focus on comprehension, and unannounced posttest outcomes). The text was embedded with 25 target pseudoword items 10 times each, with target items replacing real nouns in object positions. Measures of real-time form learning were defined as faster reading times and fewer total visits to the new words across encounters (Godfroid, 2020b), and there were three post-exposure measures of explicit word knowledge (form recognition, meaning recognition, meaning recall). New to this area of vocabulary research, outcome items were presented in randomized item modality (visual or auditory), to ensure congruence between treatment and test items and reducing modality-specific testing bias (Jelani & Boers, 2018). Group-level comparisons examined differences in (1) developmental trajectory of form familiarity and meaning integration for RO and RWL groups, (2) learning outcomes, and (3) effects of multi-componential L2 proficiency and phonological short-term memory (PSTM) skills on processing and learning outcomes. Within-RWL analyses operationalized a theoretical source of benefit (reading slightly ahead of the audio) and its impact on reading time and posttest learning gains. Findings indicated differences between RO and RWL across three measures of eye movements: (1) gaze duration (GD), a measure of form familiarity with new words; (2) total reading time (TRT), a measure of meaning integration; and (3) visit count, or the total number of encounters looking at the words. The overall pattern for RWL indicated longer initial reading times for new words, fewer re-readings, and steadier decrease in GD and TRT across encounters. Additionally, differences in learning outcomes were most clearly revealed through auditory test items, with RWL superior to RO across all three posttest outcome measures, and a group by item modality interaction. In other words, RWL indicated superior overall effects compared with RO across all items in form recognition and meaning recall, across all three posttests in auditory items, and better scores on visual than auditory items in RO (but equal across test item modality in RWL). Within-RWL analyses revealed that reading ahead of the audio was a positive predictor of TRT, as well as the most difficult of the three outcome measures (meaning recall). While PSTM predicted processing of new words, it did not predict outcomes for any of the three measures of vocabulary learning gains for advanced-level L2 readers. In sum, this study provides convergent evidence that process (form-form / form-meaning acquisition) and product (learning gains) are both positively impacted for new words under multimodal incidental conditions for advanced L2 learners, along with an initial indication that audiovisual asynchrony may play a role in RWL benefits in learning new words above and beyond L2 proficiency or memory skills.
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    Developmental Parsing and Cognitive Control
    (2022) Ovans, Zoe; Huang, Yi Ting; Novick, Jared; Neuroscience and Cognitive Science; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Processing sentences incrementally entails making commitments to structure (and sometimes role assignments) before all information in a sentence is present. Children in particular have been shown to have difficulty revising the initial structural commitments they make when these turn out to be incorrect (Trueswell et al., 1999; Hurewitz et al., 2000; Weighall, 2008; Choi & Trueswell, 2010; Anderson et al., 2011). While prior research has generally ascribed this to limitations in the development of children’s non-linguistic cognitive-control system, a precise account of how cognitive control limitations might lead to difficulty with incremental sentence processing is missing from the literature. In part, this is because existing research has focused on individual differences in children’s ability to exert cognitive control over their thoughts and actions. In contrast, this dissertation makes use of within-child variation in cognitive-control engagement to provide evidence that children’s domain-general cognitive-control system pushes them to rely more heavily on reliable parsing cues (and less heavily on unreliable ones) when the system is highly engaged. This conclusion brings together seemingly disparate results from child and adult conflict adaptation studies, where adults appear to adapt to conflict but children do not. Overall, it is concluded that cognitive-control engagement leads both children and adults to re-rank parsing cues to attend more to ones that are more task-relevant, but the criteria they use to determine which cues are most relevant can change with language experience.
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    METHODS OF INTEGRATING MULTI-MODAL DATA FOR DETECTING ABERRANT TEST-TAKING BEHAVIORS IN LARGE-SCALE ASSESSMENTS
    (2020) MAN, KAIWEN; Harring, Jeffrey R; Measurement, Statistics and Evaluation; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Many schools, states, and countries use scores from large-scale assessments in making important high-stakes decisions in such areas as college admissions, academic performance evaluations, and job promotions among others. These decisions rely on accurate, reliable scores from which valid inferences about examinees can be assessed. However, aberrant test-taking behaviors, including copying from other test-takers and practicing with real items ahead of time, undermine the effectiveness of such assessments in yielding accurate, precise information on an examinee’s performance. Also, with the wide adoption of technology-enhanced online learning and testing system, especially as I am writing my thesis while the outbreak of COVID-19 virus, it is critical to address an example question like ”how to make the online-delivered tests more secure?” As a result, investigating ways to identify potential cheaters after these assessments or batteries have been taken and data collected is an important endeavor for the numerous administrators of such assessments. The purpose of this line of research is to create, develop, investigate, and test new approaches that will incorporate bio-information technology, such as eye-tracking, into current machine-learning methods in the detection of cheating and other aberrant testing behaviors in computer-based testing scenarios. In other words, cheating detection for innovative large-scale assessments with big data techniques augmented by bio-information technologies will be explored. The eye-tracking systems, in particular, have the potential to capture cheating and other aberrant test-taking behaviors with visual information gathered through the analysis of eye movement patterns (saccades, fixations, pupil size). This type of data can be subtly gathered in real-time on test-takers as they attempt to answer each assessment item. To assess the visual attention nuances across test-takers, three negative binomial distribution-based visual fixation counts models will be presented. Moreover, a joint-modeling approach of integrating product data (e.g., item responses), process data (e.g., response times), and biometric information (visual fixation counts) will be demonstrated. By joint modeling the three types of information, we can assess test-takers’ performance in a comprehensive way. Finally, selected supervised and unsupervised statistical learning methods will be explored for detecting different types of responding behaviors.
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    Toward a Psycholinguistic Model of Irony Comprehension
    (2018) Adler, Rachel Michelle; Novick, Jared M; Huang, Yi Ting; Neuroscience and Cognitive Science; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    This dissertation examines how listeners reach pragmatic interpretations of irony in real-time. Over four experiments I addressed limitations of prior work by using fine-grained measures of time course, providing strong contexts to support ironic interpretations, and accounting for factors known to be important for other linguistic phenomena (e.g., frequency). Experiment 1 used a visual world eye-tracking paradigm to understand how comprehenders use context and frequency information to interpret irony. While there was an overall delay for ironic utterances compared to literal ones, the speed of interpretation was modulated by frequency. Participants interpreted frequent ironic criticisms (e.g., “fabulous chef” about a bad chef) more quickly than infrequent ironic compliments (e.g., “terrible chef” about a good chef). In Experiment 2A, I tested whether comprehending irony (i.e., drawing a pragmatic inference) differs from merely computing the opposite of an utterance. The results showed that frequency of interpretation (criticisms vs. compliments) did not influence processing speed or overall interpretations for opposites. Thus, processing irony involves more than simply evaluating the truth-value condition of an utterance (e.g., pragmatic inferences about the speaker’s intentions). This was corroborated by Experiment 2B, which showed that understanding irony involves drawing conclusions about speakers in a way that understanding opposites does not. Opposite speakers were considered weirder and more confusing than ironic speakers. Given the delay in reaching ironic interpretations (Exp. 1), Experiments 3 and 4 examined the cognitive mechanics that contribute to inhibiting a literal interpretation of an utterance and/or promoting an ironic one. Experiment 3 tested whether comprehending irony engages cognitive control to resolve among competing representations (literal vs. ironic). Results showed that hearing an ironic utterance engaged cognitive control, which then facilitated performance on a subsequent high-conflict Stroop trial. Thus, comprehenders experience conflict between the literal and ironic interpretations. In Experiment 4, however, irony interpretation was not facilitated by prior cognitive control engagement. This may reflect experimental limitations or late-arriving conflict. I end by presenting a model wherein access to the literal and ironic interpretations generates conflict that is resolved by cognitive control. In addition, frequency modulates cue strength and generates delays for infrequent ironic compliments.
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    The Temporal Dimension of Linguistic Prediction
    (2013) Chow, Wing Yee; Phillips, Colin; Linguistics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    This thesis explores how predictions about upcoming language inputs are computed during real-time language comprehension. Previous research has demonstrated humans' ability to use rich contextual information to compute linguistic prediction during real-time language comprehension, and it has been widely assumed that contextual information can impact linguistic prediction as soon as it arises in the input. This thesis questions this key assumption and explores how linguistic predictions develop in real-time. I provide event-related potential (ERP) and reading eye-movement (EM) evidence from studies in Mandarin Chinese and English that even prominent and unambiguous information about preverbal arguments' structural roles cannot immediately impact comprehenders' verb prediction. I demonstrate that the N400, an ERP response that is modulated by a word's predictability, becomes sensitive to argument role-reversals only when the time interval for prediction is widened. Further, I provide initial evidence that different sources of contextual information, namely, information about preverbal arguments' lexical identity vs. their structural roles, may impact linguistic prediction on different time scales. I put forth a research framework that aims to characterize the mental computations underlying linguistic prediction along a temporal dimension.