Open Access. Powered by Scholars. Published by Universities.®

Cognitive Science Commons™

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 7 of 7

Full-Text Articles in Cognitive Science

The Role Of Rhyme In Children’S Word Learning, Tengwen Fan Jul 2026

The Role Of Rhyme In Children’S Word Learning, Tengwen Fan

LSU Doctoral Dissertations

Rhyme increases the phonological similarity of phrases individuals hear and enhances recall from working memory. The present study explores whether rhyme aids word learning in children and examines the underlying neural mechanisms through which rhyme facilitates word learning. Thirty-four children between 6 and 8 years old completed a word learning task where they were exposed to 15 nonwords (NWs), four times each, in the sentence-final position as their EEG was recorded. Participants were randomly assigned to either a Rhyme or No-Rhyme group, where the NWs rhymed or did not rhyme with a prime real word in the sentence, respectively, during …


Unraveling The Lullabies Of Learning: Exploring The Role Of Individual Components Of Infant-Directed Speech In Language Learning, Stephanie L. Lopez Nov 2025

Unraveling The Lullabies Of Learning: Exploring The Role Of Individual Components Of Infant-Directed Speech In Language Learning, Stephanie L. Lopez

LSU Doctoral Dissertations

Children learn language more effectively from infant-directed speech (IDS) than adult-directed speech (ADS). Three experiments were run (a pilot and two full experiments) testing the effects of pitch and pitch variability on segmenting a target word out of the speech stream and then associating it to an object. Visual prosody via eyebrow movements and lip contours were added as additional cues after the Pilot Study. Additional factors included after the Pilot Study were shortened sentences from 10 syllables each to seven syllables each, shortened target words from three syllables to two syllables, consistent syllable onset of target words, and two …


Exploring The Efficacy Of Transcutaneous Auricular Vagal Nerve Stimulation On Post-Stroke Aphasia: A Single-Subject Design Study, Aswathy Anakkathil Pradeep Oct 2024

Exploring The Efficacy Of Transcutaneous Auricular Vagal Nerve Stimulation On Post-Stroke Aphasia: A Single-Subject Design Study, Aswathy Anakkathil Pradeep

LSU Doctoral Dissertations

Background: Anomia or word-retrieval difficulty is a common long-term language impairment for individuals with post-stroke aphasia. Several behavioral interventions like semantic feature analysis (SFA) have shown positive results in naming outcomes, but continue to face difficulty in generalizing the treatment effects to untreated items. With recent advancements in technology, researchers are developing newer neuromodulation devices that aim at promoting neuroplasticity and neural reorganization in post-stroke individuals. Transcutaneous auricular vagal nerve stimulation (taVNS) is a relatively new technology that aims at stimulating the auricular branch of the vagal nerve to promote neuroplasticity. Studies have shown taVNS to potentially facilitate positive improvements …


An Analysis Of The Development Of Cognitive Control In Young Children Within An Auditory And Visual Modality., Lauren A. Schiro Jul 2024

An Analysis Of The Development Of Cognitive Control In Young Children Within An Auditory And Visual Modality., Lauren A. Schiro

LSU Master's Theses

The Dual Mechanisms of Cognitive Control Framework (DMC) posits that cognitive control is directed through two different modes: proactive and reactive control. Proactive control involves the maintenance and manipulation of information in preparation of a response while reactive control would involve little to no preparation until after a response prompt. The AX-Continuous Performance Task (AX-CPT) is a cognitive control task that is often utilized in studies looking at proactive and reactive control as it measures context processing and goal maintenance. The aims of this study were to validate the auditory version of the AX-CPT and to then apply this task …


Effects Of Stereotypes On Black Women Audiences, Darian M. Shorts Apr 2023

Effects Of Stereotypes On Black Women Audiences, Darian M. Shorts

LSU Master's Theses

This study focuses on the effects that televised racial stereotypes have on the self-perception of viewers who identify as Black women. This paper lists three commonly used stereotypes for Black women in television and provides detailed background and analysis of each. There were three goals that I wanted to achieve with this study. The first goal of this study was to measure the amount of stereotyped entertainment these specific viewers consume. The second goal of this study was to understand the positive and negative effects that racial stereotypes have on Black women. The last goal of this study was to …


The Influence Of Native Language And Sentence Form On Memory Of Motion Events, Stephanie L. Lopez Apr 2023

The Influence Of Native Language And Sentence Form On Memory Of Motion Events, Stephanie L. Lopez

LSU Master's Theses

This study utilized four experiments to investigate the extent to which native language influences memory in accordance with linguistic relativity. In Experiment 1, monolingual English speakers and Spanish/English bilinguals were divided into a verbal encoding condition and a verbal suppression encoding condition and watched motion events of low or high physical salience. Participants engaged in a recognition memory task followed by an event memory similarity judgment task. In Experiment 2, native monolingual English speakers were divided into an English-like (or manner-on-verb) description group, a Spanish-like (or path-on-verb) description group, mimicking the language groups of Experiment 1 respectively, and a verbal …


Beyond Machine Learning: An Fmri Domain Adaptation Model For Multi-Study Integration, Lauryn Michelle Burleigh Mar 2023

Beyond Machine Learning: An Fmri Domain Adaptation Model For Multi-Study Integration, Lauryn Michelle Burleigh

LSU Doctoral Dissertations

Traditional machine learning analyses are challenging with functional magnetic
resonance imaging (fMRI) data, not only because of the amount of data that needs to be
collected, adding a particular challenge for human fMRI research, but also due to the change in
hypothesis being addressed with various analytical techniques. Domain adaptation is a type of
transfer learning, a step beyond machine learning which allows for multiple related, but not
identical, data to contribute to a model, can be beneficial to overcome the limitation of data
needed but may address different hypothesis questions than anticipated given the analysis
computation. This dissertation assesses …