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Generalizability Of Existing Ai Models For Automatic Disfluency Detection In Children's Speech, Caryn W. C. Iwakiri
Generalizability Of Existing Ai Models For Automatic Disfluency Detection In Children's Speech, Caryn W. C. Iwakiri
Master's Theses
Achieving consensus in identifying disfluencies and diagnosing developmental stuttering has been a significant challenge for many clinicians, particularly in young bilingual children, who tend to show increased disfluencies. Artificial intelligence (AI) has the potential to recognize more complex yet systematic patterns that might not be easily observable by even trained clinicians. It also has the potential to bring consistency in the measurement of stuttered speech. This study compares the performance of four AI models, their performance on detecting disfluencies including both stutter-like-disfluencies (SLD) and typical disfluencies (TD) in monolingual and bilingual children's data, then explores whether increasing the quantity of …
"Are You My Counselor?" A Call To Action How Latinx General Counselors Can Support Latinx Student Retention Rates At California Community College Hispanic-Serving Institutions, Valentín García Cabrera
"Are You My Counselor?" A Call To Action How Latinx General Counselors Can Support Latinx Student Retention Rates At California Community College Hispanic-Serving Institutions, Valentín García Cabrera
Dissertations
Latinx students comprise the largest population within the California Community College (CCC) system, but experience disproportionately lower retention rates. This dissertation used a phenomenological qualitative design and testimonios collected from Latinx general counselors to explore factors influencing Latinx student retention. Sixteen tenured Latinx general counselors from ten Northern California Hispanic-serving community colleges served as participants. Guided by two research questions, the study explored counselors’ perspectives on the factors influencing Latinx community college students’ retention and the counseling strategies, services, and resources that General Counseling Departments should provide to support Latinx student retention. Grounded in Latinx Critical Race Theory, the study …
Cultura Y Corazón: Latina Elementary School Principals Leading Schools, Mariana M. Alvarez
Cultura Y Corazón: Latina Elementary School Principals Leading Schools, Mariana M. Alvarez
Dissertations
This qualitative participatory study focused on understanding the experiences of Latina elementary school principals on their pathway to school leadership and how cultural intuition and community cultural wealth influence their approaches to school leadership. Chicana Feminist Epistemology (CFE) and Latino Critical Race Theory (LatCrit) framed the study, while testimonio y pláticas served as the methodological framework. The concept of Community Cultural Wealth served as an analytical framework. Students of color often feel their histories, experiences, and languages are undervalued in education. Participants in this study shared challenges in navigating school, coming from families that valued education but faced barriers. Their …
Cultivating Belonging: Empowering Hispanic Parents In The U.S. Education System, Kalpana Galagali
Cultivating Belonging: Empowering Hispanic Parents In The U.S. Education System, Kalpana Galagali
Dissertations
This qualitative study explores the experiences of Hispanic families at Bay Area Middle School and the strategies I employed to create a sense of belonging and support for both students and their families. Key strategies included fostering effective communication through Spanish interpreters, celebrating cultural traditions, and organizing inclusive events like the annual cultural fair. Parents expressed gratitude for the personal attention their children received and noted how these initiatives positively impacted their sense of belonging. The findings highlight that cultural integration and community-building efforts significantly enhanced family engagement, transforming perceptions of the school environment from feelings of disconnection to appreciation …
Investigating The Complexity Of Language Acquisition For Linguistically Diverse Children, Krittin Srisajjakul
Investigating The Complexity Of Language Acquisition For Linguistically Diverse Children, Krittin Srisajjakul
Master's Theses
Understanding the natural productions of children's early expressive language development is important to support their development. These natural productions may also be especially complex in children with diverse linguistic backgrounds. A challenge for clinicians is how to assess these natural productions for children’s early expressive language milestones. For example, what does it mean for children to say the same word in two languages and refer to the same concept (e.g., “water” and “agua”)? Or refer to two different concepts, (e.g., “water” and “leche” (milk))? By understanding how children’s expressive language connects to conceptual understanding, clinicians can better support language learning. …
Sjsu Erfa News, Summer 2025, San Jose State University, Emeritus And Retired Faculty Association
Sjsu Erfa News, Summer 2025, San Jose State University, Emeritus And Retired Faculty Association
Emeritus and Retired Faculty Association (ERFA) Newsletter
Volume 38, No 4
Explainable Use Of Foundation Models For Job Hiring, Vishnu S. Pendyala, Neha Bais Thakur, Radhika Agarwal
Explainable Use Of Foundation Models For Job Hiring, Vishnu S. Pendyala, Neha Bais Thakur, Radhika Agarwal
Faculty Research, Scholarly, and Creative Activity
Automating candidate shortlisting is a non-trivial task that stands to benefit substantially from advances in artificial intelligence. We evaluate a suite of foundation models such as Llama 2, Llama 3, Mixtral, Gemma-2b, Gemma-7b, Phi-3 Small, Phi-3 Mini, Zephyr, and Mistral-7b for their ability to predict hiring outcomes in both zero-shot and few-shot settings. Using only features extracted from applicants’ submissions, these models, on average, achieved an AUC above 0.5 in zero-shot settings. Providing a few examples similar to the job applicants based on a nearest neighbor search improved the prediction rate marginally, indicating that the models perform competently even without …
Unraveling The Enigma Of Classification Of Synthetic And Genuine Information Using Machine Learning And Explainable Ai, Vishnu S. Pendyala
Unraveling The Enigma Of Classification Of Synthetic And Genuine Information Using Machine Learning And Explainable Ai, Vishnu S. Pendyala
Faculty Research, Scholarly, and Creative Activity
There is a preponderance of AI-generated text everywhere today. Literature shows that there has been considerable success in detecting such text. This paper uses explainable AI (XAI) techniques to get insights into the workings of the machine learning models used to classify synthetic text. In detecting such text, this work analyzes synthetic and genuine information from visualization and explainability perspectives. The text is converted into vector embeddings using Robustly Optimized BERT Pretraining Approach (RoBERTa). Variational Autoencoders (VAEs) are used for visualization and Support Vector Machine (SVM) is used for classification. Local Interpretable Model-Agnostic Explanations (LIME), SHapley Additive exPlanations (SHAP), and …
Protecting Traditional Cultural Expressions: Law, Indigenous Protocols, Library Practices, Ulia Gosart, Valmaine Toki, Susan Townzen
Protecting Traditional Cultural Expressions: Law, Indigenous Protocols, Library Practices, Ulia Gosart, Valmaine Toki, Susan Townzen
Faculty Research, Scholarly, and Creative Activity
This study responds to contemporary international policy developments focused on protecting Indigenous creative work classified as Traditional Cultural Expressions. The study claims that states’ interests continue to guide policies in this area, compromising the relationship between regulations and the aspirations and needs of Indigenous communities. The study uses comparative methodology and content analysis to develop this argument. The study also highlights the significance of partnerships between Indigenous communities and cultural institutions that may function as alternative means to protect Indigenous creative works. The study explores cases from Indigenous communities and cultural institutions in New Zealand, the USA, and Mexico to …
Domain-Specific Aspect Extraction For Product Design, Divyam Sobti, Mahima Agumbe Suresh, Cristina Tortora, Vimal Viswanathan
Domain-Specific Aspect Extraction For Product Design, Divyam Sobti, Mahima Agumbe Suresh, Cristina Tortora, Vimal Viswanathan
Faculty Research, Scholarly, and Creative Activity
As technology advances, computers become increasingly proficient at interpreting and translating human language into machine-understandable text. With the help of algorithms in natural language processing (NLP), machines can now translate textual data. These algorithms help identify and extract specific text components known as aspects. The aspects represent specific attributes or topics within textual data. For instance, if a product review states, “This phone has good battery life but poor camera quality, " and attributes like 'battery life' and 'camera quality' represent aspects in the text. Aspect extraction is a pivotal process involving identifying and isolating key features or topics within …
Perceptions Of Perinatal Depression Among Immigrant Mothers: Screening Practices In Nurse Home Visitation, Silvia E. Arabia
Perceptions Of Perinatal Depression Among Immigrant Mothers: Screening Practices In Nurse Home Visitation, Silvia E. Arabia
Doctoral Projects
Screening for perinatal depression is a recommended strategy aimed at prevention and timely management of mood disruption in pregnancy and the postpartum (ACOG, 2024). Screening for perinatal depression is often integrated in evidence-based home visitation curriculums. The aim of this qualitative descriptive quality improvement project was to explore perceptions of perinatal depression among immigrant mothers engaged in nurse home visitation to identify barriers, if any, to disclosure and treatment of perinatal depression among a group at increased risk of developing perinatal depression (Gennaro, S., et al, 2016). Immigrant mothers residing in a large urban county in the San Francisco Bay …
Identity And The Russian-Ukrainian War: Evidence From The American Community Survey, Matthew Holian, Oleh Wolowyna
Identity And The Russian-Ukrainian War: Evidence From The American Community Survey, Matthew Holian, Oleh Wolowyna
Faculty Research, Scholarly, and Creative Activity
The Russian invasion of Ukraine in 2022 led to significant changes in ethnic identity and language preferences among U.S. residents. We observe an 18.9% increase in U.S.-born individuals identifying as ethnic Ukrainian from 2021 to 2022 and a 6.8% decrease for U.S.-born ethnic Russians, which cannot be attributed to prior trends or sampling variation. The changes among Ukrainians were more pronounced among college graduates and those living in Democratic-leaning counties. We document an increase in the use of the Ukrainian language among Ukrainian immigrants, which cannot be explained by prior trends or immigration patterns. We test for labor market discrimination, …
Finding Bert Errors By Clustering Activation Vectors, William B. Andreopoulos, Dominic Lopez, Carlos Rojas, Vedashree P. Bhandare
Finding Bert Errors By Clustering Activation Vectors, William B. Andreopoulos, Dominic Lopez, Carlos Rojas, Vedashree P. Bhandare
Faculty Research, Scholarly, and Creative Activity
The non-linear nature of deep neural networks makes it difficult to interpret the reason behind their output, thus reducing verifiability of the system where these models are applied. Understanding the patterns between activation vectors and predictions could give insight as to erroneous classifications and how to identify them. This paper explains a systematic approach to identifying the clusters with the most misclassifications or false label annotations. For this research, we extracted the activation vectors from a deep learning model, DNABERT, and visualized them using t-SNE to decode the reason behind the results that are produced. We applied K-means in a …
How To Use Social Media And Artificial Intelligence To Promote Mental Health Among Chinese And Chinese American College Students In The U.S., Ni Zhang, Jingru Guan, Terry Zou, Tianqin Shi, Kaikai Liu
How To Use Social Media And Artificial Intelligence To Promote Mental Health Among Chinese And Chinese American College Students In The U.S., Ni Zhang, Jingru Guan, Terry Zou, Tianqin Shi, Kaikai Liu
Faculty Research, Scholarly, and Creative Activity
This study explored the potential of using social media and artificial intelligence (AI) to tackle language and cultural barriers in order to promote mental health among Chinese and Chinese American college students. Ten bilingual (Chinese Mandarin and English) focus group sessions were conducted over Zoom with 26 Chinese and Chinese American students at a university on the west coast of the United States between October 2023 and February 2024. Thematic analysis of the focus group meeting transcripts was conducted via deductive coding and then inductive selection of quotes on Google Document and Nvivo. Social media provides a platform for providing …
Spartan Daily, April 24, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, April 24, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 164, Issue 37
Librarians’ Level Of Awareness And Perception Of Artificial Intelligence And Robotics In Federal University Libraries In Southeast, Nigeria, Emmanuel Chidiadi Onwubiko, Cecilia Chimezie Offor, Joy Nwadiogwa Onwumbiko
Librarians’ Level Of Awareness And Perception Of Artificial Intelligence And Robotics In Federal University Libraries In Southeast, Nigeria, Emmanuel Chidiadi Onwubiko, Cecilia Chimezie Offor, Joy Nwadiogwa Onwumbiko
Library Philosophy and Practice (e-journal)
The level of awareness and perception of AI and robotics by librarians are very paramount as to determining their applications and utilization or otherwise in any library. This study therefore aimed at determining librarians’ level of awareness and perception of artificial intelligence (AI) and robotics in federal universities in Southeast, Nigeria. The study adopted a descriptive survey design and was guided by three research questions. The population sample of the study was 50 librarians drawn from 5 federal universities libraries on Southeast, Nigeria selected through random sampling technique with the aid of research assistants from each of the universities while …
Spartan Daily, April 10, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, April 10, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 164, Issue 31
Sjsu Erfa News, Spring 2025, San Jose State University, Emeritus And Retired Faculty Association
Sjsu Erfa News, Spring 2025, San Jose State University, Emeritus And Retired Faculty Association
Emeritus and Retired Faculty Association (ERFA) Newsletter
Volume 38, No 3
Translanguaging-Informed Beliefs And Practices Of Spanish-English Middle School Bilingual Teachers Upon Completion Of An Online Professional Development, Allison Briceño, Claudia Rodriguez-Mojica, Sara Rutherford-Quach, Marisa Ruiz, Kathy Stoehr, Qican Sunny Cao
Translanguaging-Informed Beliefs And Practices Of Spanish-English Middle School Bilingual Teachers Upon Completion Of An Online Professional Development, Allison Briceño, Claudia Rodriguez-Mojica, Sara Rutherford-Quach, Marisa Ruiz, Kathy Stoehr, Qican Sunny Cao
Faculty Research, Scholarly, and Creative Activity
As part of a U.S. Department of Education grant, we developed over 60 hours of online professional development (OPD) modules in Spanish. This mixed methods study: (1) explores Spanish-English middle school bilingual teachers’ (MSBTs') shifts in language ideologies before and after completing the OPD, and (2) investigates if and how OPD resources support implementation of practices that reflect translanguaging pedagogy. Data sources include pre- and post-OPD survey results and semi-structured interviews. The two surveys were analyzed based on their scales; the interviews were analyzed iteratively using inductive and deductive codes. Survey analysis showed positive shifts in MSBTs’ beliefs and increased …
Mal-Information, The Anatomy Of An “Information Disorder”, Susan Maret
Mal-Information, The Anatomy Of An “Information Disorder”, Susan Maret
Secrecy and Society
Mal-information is a fairly recent addition to federal policy and the lexicon of political communication with implications for understanding censorship and secrecy during the COVID-19 pandemic. This paper reviews documents authored by IGOs, NGOs, and the US government that mark the evolution of mal-information as true information intended to cause harm. The term, as it is currently employed, is now associated with misinformation and disinformation to create a complex of “information disorders” known as the acronym MDM. In this paper, the creep of the term mal-information and its use by federal agencies such as the Cybersecurity and Infrastructure Security Agency …
Spartan Daily, March 5, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, March 5, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 164, Issue 18
Transformers As Transducers, Lena Strobl, Dana Angluin, David Chiang, Jonathan Rawski, Ashish Sabharwal
Transformers As Transducers, Lena Strobl, Dana Angluin, David Chiang, Jonathan Rawski, Ashish Sabharwal
Faculty Research, Scholarly, and Creative Activity
We study the sequence-to-sequence mapping capacity of transformers by relating them to finite transducers, and find that they can express surprisingly large classes of (total functional) transductions. We do so using variants of RASP, a programming language designed to help people “think like transformers,” as an intermediate representation. We extend the existing Boolean variant B-RASP to sequence-to-sequence transductions and show that it computes exactly the first-order rational transductions (such as string rotation). Then, we introduce two new extensions. B-RASP[pos] enables calculations on positions (such as copying the first half of a string) and contains all first-order regular transductions. S-RASP adds …
Cultural Influences On Parental Advocacy For Inclusion: Experiences Of South Asian Families With Children With Extensive Support Needs, Sudha Krishnan
Cultural Influences On Parental Advocacy For Inclusion: Experiences Of South Asian Families With Children With Extensive Support Needs, Sudha Krishnan
Faculty Research, Scholarly, and Creative Activity
This qualitative study examined the cultural factors in parental advocacy in South Asian parents of children with extensive support needs (ESN), concerning the educational placement decisions for their children. Data were collected using semi-structured interviews and analyzed using thematic coding. The findings revealed that the predominant preference for segregated educational settings among participants was shaped by various cultural influences: persistent social stigma surrounding disability, a culturally-rooted belief in the curability of the disability, the prioritization of safety over academic integration, perceived inadequacies within general education settings, institutional pressures from school or IEP recommendations, advocacy for intensive home-based instruction, and a …
Is Buddhist View Of Mental States In Consonance With The Foundational Tenets Of Their System?: Investigating Nyāya And Buddhist Debate On Perception In Jayanta Bhatta’S Nyāyamanjari, Ajay K. Verma
Comparative Philosophy
The first noble truth in Buddhism points toward a purely phenomenal experience. Though purely qualitative in nature, the experience of suffering has an existential aspect. As stated in the second noble truth, suffering has a cause that relates to our situatedness in the world. Notwithstanding, the cause of suffering has to be something external to the mental state of suffering itself. Some of the more recent studies on mental states suggest two different positions on the nature of mental states. One may view mental states as self-referential, reflexive and purely qualitative in nature; alternatively, one could view them as transitive …
Epistemic Injustices In Philosophical Practice: African And Western, Michael Omoge
Epistemic Injustices In Philosophical Practice: African And Western, Michael Omoge
Comparative Philosophy
Arguably, there is a Eurocentric problem in philosophical practice, which, among many other things, has unwarrantedly given Western analytic philosophy an identity power that governs our collective social imagination regarding the ideal philosophy. In this paper, I argue that in both the African and Western philosophical communities, this identity power makes it such that the African analytic philosopher is the victim of different forms of epistemic injustice. In the African community, he is a victim of epistemic withdrawal and epistemic meekness; in the Western community, he is a victim of epistemic gatekeeping. I characterize these forms of epistemic injustice, setting …
(Missed) Opportunities To Build Solidarity: A Critical Analysis Of Spanish-English Bilingual Children’S Books, Claudia Rodriguez-Mojica, Allison Briceño
(Missed) Opportunities To Build Solidarity: A Critical Analysis Of Spanish-English Bilingual Children’S Books, Claudia Rodriguez-Mojica, Allison Briceño
Faculty Research, Scholarly, and Creative Activity
Two-way dual language (TWDL) programs have traditionally served white and non-Black Latinx students, with limited attention to other cultures and races. This limitation can result in the erasure of Afro-Latinx culture from bilingual programs. This study explores the ways Black characters are represented in bilingual picturebooks, which can serve to perpetuate or combat anti-blackness within bilingual education. We completed a critical content analysis of Spanish-English bilingual picturebooks that include Black or Afro-Latinx characters, employing LatCrit and BlackCrit theoretical frameworks to explore how Black characters are positioned. Findings show a significant dearth of bilingual books that include Black or Afro-Latinx characters. …
A Guide To Falls In A Skilled Nursing Facility, Sarah Ghione
A Guide To Falls In A Skilled Nursing Facility, Sarah Ghione
Doctoral Projects
Approximately one in four older adults experiences a fall each year in the United States (Centers for Disease Control and Prevention [CDC], 2024b; Kakara et al., 2023). Among those residing in nursing homes for either short-term rehabilitation or long-term care, the risk of falls is doubled (Acker & Janssen, 2017; Shao et al., 2023). The purpose of this doctoral capstone project was to develop an educational resource aimed at enhancing staff education and fall prevention efforts within a single nursing home, supporting the facility’s goal of reducing fall rates. Methods included a needs assessment, observational experiences, resource development, and the …
Multimodal Deception Detection Via Audio-Text Fusion With Deep Learning And Asr, Xiangyi Li
Multimodal Deception Detection Via Audio-Text Fusion With Deep Learning And Asr, Xiangyi Li
Master's Projects
Emotion detection plays a crucial role in human-computer interaction, enabling machines to recognize and respond appropriately to human emotional states. This project explores a two-stage approach to emotion detection using multimodal data, first predicting dimensional values (Arousal, Valence, Dominance) from textual and audio inputs, then mapping these representations to discrete emotion categories. We compare this approach with direct categorical classification using transformer-based language models like BERT, RoBERTa, and DeBERTa for text processing, alongside various audio feature extraction methods, including MFCCs and spectrograms. Using the IEMOCAP dataset, we evaluate both approaches across text-only, audio-only, and multimodal configurations. Our findings reveal that …
Suicidal Ideation Detection On Reddit Using Llm-Annotated Data And Graph Neural Networks, Ikbal Singh Gurdev Singh Dhanjal
Suicidal Ideation Detection On Reddit Using Llm-Annotated Data And Graph Neural Networks, Ikbal Singh Gurdev Singh Dhanjal
Master's Projects
Suicide is the fourth leading cause of death among people aged 15-29. More than 720, 000 people commit suicide every year. During the COVID-19 pandemic, we saw an increase in people seeking out mental health support on anonymous forums like Reddit. These anonymous forums allow people to express their suicidal ideation without judgment and give them a support structure that not everyone has. The aim of this project is to detect suicidal ideation using Reddit. In this work, we propose SIRGEL (Suicidal Ideation on Reddit using Graph Embeddings and LLMs), a dual-pipeline approach that combines large language model (LLM)- based …
Transforming Chatbot Text: A Sequence-To-Sequence Approach To Human-Like Text Generation, Natesh Reddy
Transforming Chatbot Text: A Sequence-To-Sequence Approach To Human-Like Text Generation, Natesh Reddy
Master's Projects
With the advancements in Large Language Models (LLMs) such as ChatGPT, the boundary between text written by a human and that created by AI has become blurred. This poses a threat to systems designed to detect AI-generated content. In this work, we adopt a novel strategy to adversarially transform GPT-generated text using sequence-to-sequence (Seq2Seq) models, to make the text more human-like. We concentrate on improving GPT-generated sentences by including significant linguistic, structural, and semantic components that are typical of human-authored text. The goal is to then use this transformed data to train a more robust detection model. Our experiments show …