Digital Commons Network^™

Estimating Homophily In Social Networks Using Dyadic Predictions, George Berry, Antonio Sirianni, Ingmar Weber, Jisun An, Michael Macy

Research Collection School Of Computing and Information Systems

Predictions of node categories are commonly used to estimate homophily and other relational properties in networks. However, little is known about the validity of using predictions for this task. We show that estimating homophily in a network is a problem of predicting categories of dyads (edges) in the graph. Homophily estimates are unbiased when predictions of dyad categories are unbiased. Node-level prediction models, such as the use of names to classify ethnicity or gender, do not generally produce unbiased predictions of dyad categories and therefore produce biased homophily estimates. Bias comes from three sources: sampling bias, correlation between model errors …

Uncertainty & The Unknown

In Case You Missed It

AUGUST 2021

A Phenomenological Study Of How English Teachers' Beliefs Affect Their Grammar Instruction, Athena Pualeilani Jackson

Doctoral Dissertations and Projects

The purpose of this phenomenological study was to describe how beliefs about grammar affected the grammar instruction of 10 high school English teachers in central Florida. Fishbein and Ajzen’s (2010) theory of reasoned action guided the study since the theory shows the relationship between beliefs and actions. A phenomenological design with a transcendental approach was used, and data was collected through three methods: interviews, observations, and participant reflections. Data was analyzed according to Moustakas’ (1994) steps for data analysis. Data analysis included horizonalization, theme development, textural descriptions, structural descriptions, composite descriptions, and a synthesized essence of the experience. Many participants …

The Lead, August 2021, Lindenwood University

The Lead

The Lead is an electronic newsletter produced by the Lindenwood College of Education & Human Services.

Learning-Based Extraction Of First-Order Logic Representations Of Api Directives, Mingwei Liu, Xin Peng, Andrian Marcus, Christoph Treude, Xuefang Bai, Gang Lyu, Jiazhen Xie, Xiaoxin Zhang

Research Collection School Of Computing and Information Systems

Developers often rely on API documentation to learn API directives, i.e., constraints and guidelines related to API usage. Failing to follow API directives may cause defects or improper implementations. Since there are no industry-wide standards on how to document API directives, they take many forms and are often hard to understand by developers or challenging to parse with tools. In this paper, we propose a learning based approach for extracting first-order logic representations of API directives (FOL directives for short). The approach, called LeadFOL, uses a joint learning method to extract atomic formulas by identifying the predicates and arguments involved …

Towards Generative Aspect-Based Sentiment Analysis, Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam

Research Collection School Of Computing and Information Systems

Aspect-based sentiment analysis (ABSA) has received increasing attention recently. Most existing work tackles ABSA in a discriminative manner, designing various task-specific classification networks for the prediction. Despite their effectiveness, these methods ignore the rich label semantics in ABSA problems and require extensive task-specific designs. In this paper, we propose to tackle various ABSA tasks in a unified generative framework. Two types of paradigms, namely annotation-style and extraction-style modeling, are designed to enable the training process by formulating each ABSA task as a text generation problem. We conduct experiments on four ABSA tasks across multiple benchmark datasets where our proposed generative …

Biasrv: Uncovering Biased Sentiment Predictions At Runtime, Zhou Yang, Muhammad Hilmi Asyrofi, David Lo

Research Collection School Of Computing and Information Systems

Sentiment analysis (SA) systems, though widely applied in many domains, have been demonstrated to produce biased results. Some research works have been done in automatically generating test cases to reveal unfairness in SA systems, but the community still lacks tools that can monitor and uncover biased predictions at runtime. This paper fills this gap by proposing BiasRV, the first tool to raise an alarm when a deployed SA system makes a biased prediction on a given input text. To implement this feature, BiasRV dynamically extracts a template from an input text and from the template generates gender-discriminatory mutants (semanticallyequivalent texts …

Modeling Real And Fake News Sharing In Social Networks, Abishai Joy

Boise State University Theses and Dissertations

Online media is changing the traditional news industry and diminishing the role of journalists, newspapers, and even news channels. This in turn is enhancing the ability of fake news to influence public opinion on important topics. The threat of fake news is quite imminent, as it allows malicious users to share their agenda with a larger audience. Major social media platforms like Twitter, Facebook, etc., are making it easy to spread fake news due to the minimal moderation/ fact-checking on these platforms.

This work aims at predicting fake and real news sharing in social media. Specifically, we employ a multi-level …

Modeling And Analyzing Users' Privacy Disclosure Behavior To Generate Personalized Privacy Policies, A.K.M. Nuhil Mehdy

Boise State University Theses and Dissertations

Privacy and its importance to society have been studied for centuries. While our understanding and continued theory building to hypothesize how users make privacy disclosure decisions has increased over time, the struggle to find a one-size solution that satisfies the requirements of each individual remains unsolved. Depending on culture, gender, age, and other situational factors, the concept of privacy and users' expectations of how their privacy should be protected varies from person to person. The goal of this dissertation is to design and develop tools and algorithms to support personal privacy management for end-users. The foundation of this research is …

A Phenomenological Collective Case Study Of Mexican American Gifted Dropouts In South Texas, Albert Irlas

Theses and Dissertations

The purpose of this study was to examine the shared experiences of formally identified gifted Mexican American students that decided to drop out of high school in the south Texas region. The researcher utilized a phenomenological collective case study approach that investigated the influences that led gifted learners to drop out of high school via a series of semi-structured interviews that collected and analyzed the shared narrative data (Creswell, 2013; Degand, 2015; Seidman, 2014). Prevailing studies have found that Mexican American gifted learners are more likely to live in economically depressed communities, more likely to suffer from linguistic and cultural …

Minding Accidents, Teneille R. Brown

Utah Law Faculty Scholarship

Tort doctrine states that breach is all about conduct. Unlike in the criminal law, where jurors must engage in an amateur form of mindreading to evaluate mens rea, jurors are told that they can assess civil negligence by looking only at how the defendant behaved. But this is false. Foreseeability is at the heart of negligence—appearing as the primary tests for duty, breach, and proximate cause. And yet, we cannot ask whether a defendant should have foreseen a risk without interrogating what he subjectively knew, remembered, perceived, or realized at the time. In fact, the focus on actions in negligence …

Saudi Arabian General Education Elementary School Teachers’ Attitudes Toward And Perceptions Of Giftedness And Gifted Education, Yaser Khaled Alharbi

Dissertations

The importance of developing the cognitive and affective needs of gifted students to help meet their academic needs as well as support them in achieving to their full potential has been well-established by past research. It is also confirmed by the literature that gifted and talented students have unique social-emotional needs and that the school environment plays an essential role in meeting gifted students’ needs. To better serve gifted students, schools must ensure that general education teachers are knowledgeable and supportive of the distinct cognitive and affective development of these students in conjunction with their academic needs. Different factors influence …

A Photo For Change: A Mixed Methods Study Of Using Photovoice Pedagogy To Foster Transformative Learning Among College Students, Maaly Younis

Dissertations

Learning in adulthood should be a meaningful experience through which adult learners are able to re-examine their values and beliefs acquired over the years. Mezirow (1978a, 1978b) stated that learners’ engagement with this process of reflection and making meaning leads to a change in one’s perspective. To facilitate such a transformational learning experience, adult education scholars explored various pedagogical approaches that cultivates environments conducive to transformative learning, among which are art-based pedagogies. Photovoice is an art-based pedagogy that utilizes photography and storytelling to foster critical reflection and increase learners’ critical awareness. To date, investigating the transformative affordances of photovoice pedagogy …

The Far Right And January 6, 2021: How Cyber And Real Life Spaces Became One And The Imagery That Facilitated The Process, Dori Lamar

Electronic Theses, Projects, and Dissertations

The growing presence of the far right in both internet and physical spaces is of concern because of the associated violence and civil unrest. The presence of the far right on the internet is historical and persistent. It is used by the far right movement to engage, radicalize, fellowship, plan and execute events, some of which are violent. This thesis explores the ways in which the far right uses online spaces and offline spaces in tandem, and how the use of imagery facilitates this process. To do this a visual and audio analysis was conducted on 100 videos posted to …

Stock Market Forecasting Based On Artificial Intelligence Technology, Yuzhun Liang

Electronic Theses, Projects, and Dissertations

This culminating experience project used artificial intelligence (AI) technology to forecast and analyze the stock market and construct complex nonlinear relationships between the input data and the output data. This project used a radial basis function neural network to forecast and analyze the stock market data. Compared the radial basis function neural network performance with the feed-forward neural network and clearly showed the superiority of the radial basis function neural network over the feed-forward neural network in the data processing. The results showed that AI technology could effectively predict stock market performance. Based on the results, the conclusion is that …

Home Literacy As A Way To Improve Students’ Academic Achievement And Motivation, Foster Strong Familial Relationships, And Bridge The Gap Between Home And School: A Framework For Custom Family Literacy Programs, Julia Marie Brown

Masters Projects

A child’s home environment is one of the greatest contributors to their social and cultural background, as it innately impacts their educational experiences and attitudes towards learning. Similarly, language development and literacy are deeply rooted in social, cultural, and historical experiences. Thus, the integration of literacy within home environments can strengthen families, contribute to overall academic success, and increase motivation and engagement amongst learners. While researchers and educators alike agree that fostering strong home literacy environments is beneficial for families as a whole and children as learners, many family literacy programs fail to bridge the gap between home and school …

Response To Intervention 2 Easycbm And Aimsweb Intervention Programs How They Relate To Student Growth, George T. Hopson

Electronic Theses and Dissertations

This researcher aimed to determine how data collected from computer-based assessment programs, specifically EasyCBM and AIMSweb, was used in data-driven instruction and used to identify risk levels in math and reading areas proficiency. Data from intervention programs were collected from six participating high schools. The data collection included math and reading universal screening scores and levels of risk indicators from Tier 2 and Tier 3 levels of their response to intervention (RTI) programs. Section A included math data within a baseline score and a risk indicator level. Section B had reading scores with a baseline score and a risk indicator …

Evidence-Based Program Selection And Duration Of Implementation Of Social-Emotional Learning As Related To Student Growth And Non-Academic Outcomes, Colleen K. Weems

Electronic Theses and Dissertations

This quantitative, nonexperimental study addressed the gap between research-established benefits and outcomes of social-emotional learning implementation as compared to actual instances of implementation. It has been suggested that social-emotional learning as a systemic initiative is necessary for school health (Elias et al., 2013). Additionally, most educators relay some confidence in the importance of social-emotional learning; however, around half report actual implementation within their school (Atwell & Bridgeland, 2019).

Focusing on social-emotional learning as a whole as well as the specificity of use of CASEL SELect programs, the research questions of this study explored differences between implementation and usage, length of …

Not Your Queer Model Minority: Exploring The Realities Of Lgb Asian American Student Affairs Professionals, Kevin Nguyen Chastain

Electronic Theses, Projects, and Dissertations

LBG Asian Americans are a minority group in higher education and among Student Affairs administrators. LGB Asian Americans and their experiences have received little attention due to the intersection of sexual orientation and race. It is critical to understand the realities that this community faces and to provide an opportunity for this community to claim an identity that is both honest and transparent. The goal of this research is to better understand how the intersection of racial identity and sexuality has influenced the experiences of Asian American lesbian, gay, bisexual, and transgender students in Student Affairs roles at colleges and …

Does Working Memory Capacity Modulate The Relationship Between Intentional Mind-Wandering And Task Demand?, Stephen Ware

Electronic Theses, Projects, and Dissertations

Mind wandering (MW) is affected by multiple factors. Among those factors, the present study investigated the effects of working memory capacity on task demands on types of mind wandering. It was hypothesized that individuals with high working memory capacity (WMC) would show more intentional mind wandering in a low demanding task, and in this case, task performance would not be impaired. On the other hand, individuals with low working memory capacity would show more unintentional mind wandering in the high demand condition; therefore, task performance would be affected. Task demand was manipulated with verbal n-back tasks and WMC was measured …

Parent Involvement And Student Achievement: Effects Of Indirect Parent Involvement On Student Achievement In Mathematics, Sarah Ann Myers

Electronic Theses, Projects, and Dissertations

Parents are often seen through a deficit lens despite all that they do for their children. Parents want to do all they can to help their children be successful in school and in math specifically. This can be challenging due to the increasing pressure for students to perform well in math, the current methods for teaching math, and the math work students bring home. This quantitative study investigates how home-based parent involvement strategies predict student's math grade point average (GPA). The data in this study was derived from 23,503 participants within the High School Longitudinal Study of 2009 (HSLS:09). With …

The Curious Cases Of Cancel Culture, Loydie Solange Burmah

Electronic Theses, Projects, and Dissertations

Cancel culture is a complex phenomenon that challenges our notions of civic practices, perpetuates surveillance practices amongst individuals who encourage digital public shaming and obscures communal ideas regarding accountability. Hence, it is imperative to complicate and nuance “cancel culture” to understand the different meanings derived from its diverse mechanizations. Other matrices such as power, platform governance, decoloniality, and more bolster ideas about the phenomenon’s extensive sociocultural reach. Using a critical digital ethnographic approach, I exemplify with the analysis two cancel culture cases uncovering themes such as selective cancelations, cancelation effectiveness, performative activism, performative wokeness, hypocrisy, victimization, and empathy. This study …

Teaching In The Digital Age: Creating A Student-Centered Classroom, Becca Huber-Jackson

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

This portfolio compiles the work of the author during her time as a student in the Master of Second Language Teaching (MSLT) program at Utah State University (USU). It highlights her personal pedagogy as well as provides supporting research. The different components of this portfolio are separated into two sections: teaching perspectives and research perspectives.

In the teaching perspectives section, she introduces her desired professional environment, outlines her teaching philosophy statement, and provides an analysis based on teaching observations. Research perspectives consist of two research papers and an annotated bibliography written throughout the course of the program that support the …

Educating Black Collegians: Examining The Influence Of Blackness On Educational Outcomes Related To Life And Career Perspectives, Deonte Teaon Brown

All Dissertations

This study examined how personal, behavioral and environmental factors influenced educational outcomes of Black collegians at predominately white institutions in the south. Specifically, 11 institutions are represented in this study from Alabama, Florida, Georgia, Mississippi, North Carolina, South Carolina and Virginia. The purpose of this study was to provide an opportunity for Black collegians to share via quantitative methods how their Blackness impacted their perspectives on their career and life. The specific ways in which Blackness was examined was through Black affirmation from faculty, peers and administrators in the learning environment, beliefs about their Black identity, and utilization of cultural …

“We Are Girls. We Are Warriors. We Are Writers”: Middle School Girls And Gender Identity Construction In An After-School Writing Workshop, Mary-Celeste Schreuder

All Dissertations

Research continues to reveal that school, as a patriarchal institution, is not often a safe space for girls to enact their gender identities (Liu, 2006; Sadker, Sadker, & Zittleman, 2009). The gender bias and inequality girls experience in classrooms contributes to harmful behaviors, such as self-silencing and adhering to stereotypical gender norms (Bender-Slack, 2009; Gilligan, 1993), which creates challenges for girls’ construction of positive gender identities. In the wake of new feminist movements, such as #MeToo and Time’s Up, research focused on the perpetuation (and disruption) of patriarchal norms and their effect on girls’ gender identity is all the more …

"#Mustfall–Theevent: Rights, Student Activism And The Transformation Of South African Universities" In University On The Border: Crisis Of Authority And Precarity, Sahar D. Sattarzadeh, André Keet, Willy Nel

Education Studies Faculty publications

In this chapter, we read the 2015-2016 #MustFall movement as an “event” in Badiou’s sense of the word. Employing Badiou’s (2005, 2013) interpretive scheme, we suggest that the #MustFall movement fractured the appearance of regularity of the South African higher education landscape to such an extent that it can be considered the kind of ‘event’ that Badiou defines as “something that brings to light a possibility that was invisible or even unthinkable. [It] is, in a certain way, merely a proposition. It proposes something to us” (Badiou, 2013:9-10). Reflecting on a long-term research project on ‘transformative student citizenship’ that started …

A Portrait Of Latino Children: The Gap With Non-Latinos In Massachusetts, Phillip Granberry, Alejandro Alvarez, Vishakha Agarwal, Fabián Torres-Ardila, Gaston Institute, University Of Massachusetts Boston

Gastón Institute Publications

Latino children are one of Massachusetts' fastest-growing segments of the population. However, evidence suggests that the social and economic context in which Latino children live does not adequately support their development and overall wellbeing. Nearly a third of Latino children in the United States live in very low-opportunity neighborhoods as defined by a scale of educational, health, environmental, and socioeconomic outcomes. Compared to non-Latino children, Latinos are more likely to grow up in households below the federal poverty threshold and less likely to have a mother with at least a Bachelor's degree. The research included in this report aims to …

A Case Study Of The Academic And Social Needs Of Hispanic Elementary Dual Language Learners, Erika Suzanne Rivera-Castillo

Doctoral Dissertations and Projects

The purpose of this instrumental case study is to describe the educators’ perspective of the academic and social needs of Hispanic elementary dual language learners (DLL) at a school district in a southern state's northwestern region. The theory guiding this study is the Krashen’s second language acquisition theory, using the five main hypotheses: (1) the acquisition-learning distinction, (2) the natural order hypothesis, (3) the monitor hypothesis, (4) the input hypothesis, and (5) the affective filter hypothesis. Vygotsky’s social development theory will also guide this study as social development and interaction have a vital role in the process of cognitive and …

Evaluation Of Patient Experience Using Natural Language Processing Algorithms, Sofia Veronica Ortega

Open Access Theses & Dissertations

INTRODUCTION: Healthcare organizations are making extensive efforts to improve the patient experience. Enhancing patient/client experience and outcomes is crucial for patient-centered care and can reveal improvement opportunities. Healthcare settings currently rely on surveys (e.g., HCAHPS) and patient feedback to measure patient experience. Studies have identified that utilizing patient journey mapping can better capture patient experience throughout all stages of the patient's journey and provide quality and process improvement recommendations at specific hotspots. However, these measurement techniques are time-consuming and resource intensive. AIM: This research aims to measure patient experience of breast cancer patients from social media data using natural language …

A Philosophy Of Bilingualism: How History And Science Inform Its Ethicality And Future, Matthew James Rethorn

Open Access Theses & Dissertations

This Thesis explains the significance that bilingualism has played and should play in life. It consists of three chapters: Chapter 1 examines bilingual perspectives from different communities inside the United States; Chapter 2 presents a critical assessment of research from linguistics and psychology; and Chapter 3 explores the popular support for English-Spanish bilingualism sweeping through urban America. My first chapter highlights the interconnection of bilingualism with identity, exemplified in the Amish, Navajo, and Gullah communities. This analysis of ethnic groups represents more broadly the negative and positive experiences of bilingualism. My second chapter reflects on the validity and assumptions behind …