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First-Time Practicum Students' Lived Experiences Of Case Presentations In Group Supervision: A Phenomenological Study, Jason Blakely Fischer

Dissertations

Although best practices of group supervision advise that supervisory methods match the developmental level of supervisees, research has shown that novices typically receive group supervision in the same manner as more experienced trainees. The prevalent use of case presentations in group supervision regardless of learners' level of clinical experience suggests contemporary practicum courses may be overlooking beginning students' unique, developmental characteristics and needs. Fifteen counseling students enrolled in CACREP-accredited master's degree programs across the United States were interviewed for a phenomenological study exploring their experiences of case presentations in practicum. Synchronous interviews conducted over video conferencing examined participants' emotional experiences …

Culturally Responsive Teaching And Learning For Success, Fred A. Hunter

Dissertations

The enduring gap between White and Black student achievement has challenged our educational systems for decades. This study evaluates an instructional pedagogy that values and embraces students’ culture and experiences. Participants in this study include one teacher trained to implement culturally relevant instruction, her middle school students, and teacher leaders at the school where I served as principal during the time of the study.

The results of this study reveal the positive impact that a culturally relevant teacher yields for students and teacher. Students receiving an affirming instructional pedagogy benefit from improved academic outcomes. Teachers embracing this method of teaching …

Investigating The Contribution Of Historic Site Interpretation Centers To Meaning Making: The Case Of Bahrain, May Jalal Al Saffar

Dissertations

This dissertation investigates the role and contribution of the Historic Site Interpretation Centers in the process of meaning-making from the historic site to the visitors, as well as their visiting experience and attendance at the same settings. The Historic Site Interpretation Centers exhibit a unique museum typology dedicated to sites of historical significance, offering a dual mode of interpretation, labeled as ‘in situ’ and ‘in context’. The objective was to evaluate the physical attributes and applied display strategies in conveying meaning from historic sites to visitors and, to explore the resulting stakeholders’ (i.e. service providers and visitors) perception and emotional …

The Relationship Among Children Born With A Congenital Heart Defect, Effects Of General Anesthesia, And Special Academic Needs, Lorilynn Bowie

Dissertations

Abstract

I initiated this study due to experience in the public education system in one state in the United States. I noted a lack of understanding among educators on how to meet the educational needs of children born with a congenital heart defect (CHD) who had undergone general anesthesia related to their CHD. A lack of communication between the medical sector and the educational world led to extensive delays in children receiving the educational support they needed to be successful academically. There were two primary exploratory questions that drove my study: 1.) Is there a relationship between children born with …

Fostering Resilience: A Pilot Study For Mindful Yoga As An Intervention For Adolescents Exposed To Chronic Adversity, Michele Pinellas

Dissertations

The effects of ongoing stress can cause chronic affect dysregulation, destructive behavior against self and others, learning disabilities, dissociative problems, somatization, and distortions in concepts about self and others (Bessel van der Kolk, 1994, p. 259). There may be particular benefits for youth who live in urban, underserved populations as they have experienced social challenges such as poverty, violence, drugs, racism, and immigration. Given the historical tendency of youth to express their emotions externally as a coping strategy, there is rationale to support a physically based treatment, like yoga, as an intervention for this population (Beltran et al., 2016). This …

Utilizing Proper Behavior Modification Support Models To Narrow The Academic Achievement Gap Among At-Risk Students, Ronald Diltz I

Dissertations

Instances where minority and/or economically disadvantaged students are the unfortunate recipients of the majority of discipline referrals and suspensions may be traced throughout the history of American public schools. The purpose of this study is to determine whether various student support systems implemented with fidelity, intensity, and intentionality, while supplemented with tailored support strategies, had a positive impact on the behavioral and academic outcomes among at-risk students. The context of this inquiry is a large middle school located in a medium sized public-school district in North America. This mixed-method, quasi-experimental, formative evaluation, demonstrates outcomes of decreased levels of discipline referrals …

Content Variation In Jury Instructions For Fatal Police Use Of Force Trials Do Not Moderate The Effect Of Attitudes Toward Police On Verdicts, Chasity Lynn Ratliff

Dissertations

AN ABSTRACT OF THE DISSERTATION OFChasity Ratliff, for the Doctor of Philosophy degree in Psychology, presented on June 22, 2020, at Southern Illinois University Carbondale. TITLE: CONTENT VARIATION IN JURY INSTRUCTIONS FOR FATAL POLICE USE OF FORCE TRIALS DO NOT MODERATE THE EFFECT OF ATTITUDES TOWARD POLICE ON VERDICTSMAJOR PROFESSOR: Liana C. Peter-HageneWhen police officers are charged with illegal use of force, jurors’ pre-existing attitudes toward the police can shape how jurors interpret trial evidence: Was the officer just doing his job under high amounts of pressure while fearing for his life? Or did the officer abuse his power with …

U.S. Higher Education In The Construction Of “Good” And “Bad” Immigrants: Foreign-Born Faculty’S Tales Of Sexism, Racism, And Xenophobia At Work, Debaleena Ghosh

Dissertations

In this dissertation, I explore the experiences of immigrant (i.e. foreign-born) faculty in the U.S. academy, especially during a trying period of time—Donald Trump’s presidency—when anti-immigrant sentiments and rhetoric have heightened in America. Specifically, I explore how in the Trump era, gender, race, ethnic (national) origin, cultural background, and foreign-born status intersect to shape immigrant faculty’s experiences at the individual, interpersonal, and organizational level, including the privileges they enjoy and/or the penalties they pay based on their multiple social locations and ethnic culture—a group occasionally studied. Finally, I explore how the organizational and departmental culture of diversity enables the faculty …

Factors Affecting Comprehensibility Of The Globally Harmonized System Of Chemicals In The United States, Susan Miller

Dissertations

In this study, the researcher explored to what extent factors affect workers’ comprehension of chemical hazards in the workplace when utilizing the new Global Harmonization System (GHS) of chemical labels and Safety Data Sheets (SDSs), required by the Occupational Safety and Health Administration’s (OSHA) Hazard Communication Standard (HCS). The sample consisted of 422 participants that worked with chemicals as part of their previous or current work-related duties in the United States (U.S) and received chemical safety training. These participants were part of a convenience sample and were recruited utilizing Survey Monkey to collect responses. The participants were asked qualifying questions …

Getting Ahead Of The Game: A Preventative Assessment Plan For Intercollegiate Athletics, Kristiana Marie Feeser

Dissertations

While we know much about the psychology of sport, little gets translated onto the playing field. Typically, there is only consultation when a problem arises or when performance falls short. The purpose of this study was mainly exploratory in order to gather data on three factors of mental health, find any associations between those factors, and to predict any risk factors using demographic variables. Three validated measurement tools were used to measure burnout (Athlete Burnout Questionnaire; Raedeke & Smith, 2004), depression (Beck Depression Inventory-II; Beck et al., 1996), and transition readiness (British Athletes Lifestyle Assessment Needs in Career and Education; …

Addressing The Needs Of Gifted And Talented Stem Students Through Holistic Thinking In An Honors Program, Noor Alrajhi

Dissertations

The purpose of this study was to examine the extent to which the Honors Program at a midwestern University addresses the needs of gifted and talented STEM students and developed their holistic thinking. Pink’s ideas about the holistic thinking were used to frame this study. Blending STEM gifted students’ needs and Pink’s senses were discussed in the literature review.This study utilized a mixed method approach to gain a better understanding of students’ perceptions about addressing their needs in Honors Program. An explanatory sequential design was employed for this study in which qualitative data were used to expand the understanding of …

A Qualitative Understanding Of Gender-Responsive Youth Programming Within The Girls Rock Camp Alliance, Seyi Amosu

Dissertations

This study documented the gender-responsive youth programing strategies within Girls Rock camps using grounded theory methodology. Experiencing gender oppression is a stressor that creates an increased risk for mental and physical health concerns for gender-marginalized people. The risks for mental illnesses, because of gender-based oppression, is compounded when an individual holds additional marginalized statuses (e.g., age, race, ethnicity, social class, sexual orientation, ability status, etc.; APA, 2007). Gender bias has also been shown to negatively impact young people’s self-esteem, academic achievement, and vocational aspirations (Kamsler, 1992). Given this negative impact of gender bias, it is important to address gender related …

A Case Study On The Impact That The Meet & Teach Program Has On Youth Through Experiential Learning, Evan Brown

Dissertations

Millions of students continue to struggle academically throughout K-12, which can harm student access and retention in higher education. Also, with arts continually being removed throughout the K-12 education curricula, students have a lack of support toward enhancing their hidden talents and skillsets. This study describes the impact that the Meet & Teach program had on youth through experiential learning in relation to developing and enhancing their skillset in media arts. The two research questions that guide this study are: (a) How does the Meet & Teach program support skill development for higher education through experiential learning? (b) In what …

Live Media Production: Multicast Optimization And Visibility For Clos Fabric In Media Data Centers, Ammar Latif

Dissertations

Media production data centers are undergoing a major architectural shift to introduce digitization concepts to media creation and media processing workflows. Content companies such as NBC Universal, CBS/Viacom and Disney are modernizing their workflows to take advantage of the flexibility of IP and virtualization.

In these new environments, multicast is utilized to provide point-to-multi-point communications. In order to build point-to-multi-point trees, Multicast has an established set of control protocols such as IGMP and PIM. The existing multicast protocols do not optimize multicast tree formation for maximizing network throughput which lead to decreased fabric utilization and decreased total number of admitted …

Development And Evaluation Of Low Cost 2-D Lidar Based Traffic Data Collection Methods, Ravi Jagirdar

Dissertations

Traffic data collection is one of the essential components of a transportation planning exercise. Granular traffic data such as volume count, vehicle classification, speed measurement, and occupancy, allows managing transportation systems more effectively. For effective traffic operation and management, authorities require deploying many sensors across the network. Moreover, the ascending efforts to achieve smart transportation aspects put immense pressure on planning authorities to deploy more sensors to cover an extensive network. This research focuses on the development and evaluation of inexpensive data collection methodology by using two-dimensional (2-D) Light Detection and Ranging (LiDAR) technology. LiDAR is adopted since it is …

Enrichment Of Ontologies Using Machine Learning And Summarization, Hao Liu

Dissertations

Biomedical ontologies are structured knowledge systems in biomedicine. They play a major role in enabling precise communications in support of healthcare applications, e.g., Electronic Healthcare Records (EHR) systems. Biomedical ontologies are used in many different contexts to facilitate information and knowledge management. The most widely used clinical ontology is the SNOMED CT. Placing a new concept into its proper position in an ontology is a fundamental task in its lifecycle of curation and enrichment.

A large biomedical ontology, which typically consists of many tens of thousands of concepts and relationships, can be viewed as a complex network with concepts as …

Crowdsourcing Atop Blockchains, Yuan Lu

Dissertations

Traditional crowdsourcing systems, such as Amazon's Mechanical Turk (MTurk), though once acquiring great economic successes, have to fully rely on third-party platforms to serve between the requesters and the workers for basic utilities. These third-parties have to be fully trusted to assist payments, resolve disputes, protect data privacy, manage user authentications, maintain service online, etc. Nevertheless, tremendous real-world incidents indicate how elusive it is to completely trust these platforms in reality, and the reduction of such over-reliance becomes desirable.

In contrast to the arguably vulnerable centralized approaches, a public blockchain is a distributed and transparent global "consensus computer" that is …

Machine Learning For Scientific Data Mining And Solar Eruption Prediction, Hao Liu

Dissertations

This dissertation explores new machine learning techniques and adapts them to mine scientific data, specifically data from solar physics and space weather studies. The dissertation tackles three important problems in heliophysics: solar flare prediction, coronal mass ejection (CME) prediction and Stokes inversion.

First, the dissertation presents a long short-term memory (LSTM) network for predicting whether an active region (AR) would produce a certain class of solar flare within the next 24 hours. The essence of this approach is to model data samples in an AR as time series and use LSTMs to capture temporal information of the data samples. The …

A Comprehensive And Absolute Corporate Sustainability Assessment And Enhanced Input Output Life Cycle Assessment, Joseph M. Wright

Dissertations

Stresses due to economic activity are threatening to exceed environmental and societal limits with the potential to jeopardize local communities and create global crises. This research proposes new methodologies and analytic techniques to comprehensively assess corporate sustainability and enhance the efficiency of estimating environmental and social impacts with Input Output Life Cycle Assessment (IOLCA).

Sustainability assessments and management require consideration of both social and environmental impacts as outflows of economic activity. There are a number of assessment tools available to gain insight into environmental and social impacts; but in most cases, these approaches lack essential components for a comprehensive and …

Changing The Focus: Worker-Centric Optimization In Human-In-The-Loop Computations, Mohammadreza Esfandiari

Dissertations

A myriad of emerging applications from simple to complex ones involve human cognizance in the computation loop. Using the wisdom of human workers, researchers have solved a variety of problems, termed as “micro-tasks” such as, captcha recognition, sentiment analysis, image categorization, query processing, as well as “complex tasks” that are often collaborative, such as, classifying craters on planetary surfaces, discovering new galaxies (Galaxyzoo), performing text translation. The current view of “humans-in-the-loop” tends to see humans as machines, robots, or low-level agents used or exploited in the service of broader computation goals. This dissertation is developed to shift the focus back …

An Automated Feedback System To Support Student Learning Of Conceptual Knowledge In Writing-To-Learn Activities, Ye Xiong

Dissertations

As a pedagogical strategy, Writing-to-Learn (WTL) intends to use writing to improve students’ understanding of course content. However, most of the existing feedback systems for writing are mainly focused on improving students’ writing skills rather than their conceptual development. In this dissertation, an automatic approach is proposed to generate timely, actionable, and individualized feedback based on comparing knowledge representations extracted from lecture slides and individual students’ writing assignments. The novelty of the proposed approach lies in the feedback generation: to help students assimilate new knowledge into their existing knowledge better, their current knowledge is modeled as a set of matching …

Peer-To-Peer Consumption In 3d Printing Design, Weizhi Chen

Dissertations

Three-dimensional printing or additive manufacturing is a new element in new product development that emphasizes on digitalization and innovation. However, due to its new emergence, existing research has rarely explored its mechanism and benefits especially in marketing, new product development and innovation. This research addresses the mechanism of 3D printing under collaborative consumption in the age of personal fabrication. The primary focus of this research lies at the intersection of marketing, 3D printing in collaborative consumption, and data science. Online peer-to-peer 3D printing sharing platform myminifactory.com is utilized as primary study context. In this research, two types of product design …

Mind Maps And Machine Learning: An Automation Framework For Qualitative Research In Entrepreneurship Education, Yasser Farha

Dissertations

Entrepreneurship Education researchers often measure entrepreneurial motivation of college students. It is important for stakeholders, such as policymakers and educators, to assert if entrepreneurship education can encourage students to become entrepreneurs, as well as to understand factors that influence entrepreneurial motivation. For that purpose, researchers have used different methods and instruments to measure students' entrepreneurial motivation. Most of these methods are quantitative, e.g., closed-ended surveys, whereas qualitative methods, e.g., open-ended surveys, are rarely used.

Mind maps are an attractive qualitative survey tool because they capture the individual's reflections, thoughts, and experiences. For Entrepreneurship Education, mind maps can be utilized to …

Towards Practical Homomorphic Encryption And Efficient Implementation, Gyana R. Sahu

Dissertations

Cloud computing has gained significant traction over the past few years and its application continues to soar as evident from its rapid adoption in various industries. One of the major challenges involved in cloud computing services is the security of sensitive information as cloud servers have been often found to be vulnerable to snooping by malicious adversaries. Such data privacy concerns can be addressed to a greater extent by enforcing cryptographic measures. Fully homomorphic encryption (FHE), a special form of public key encryption has emerged as a primary tool in deploying such cryptographic security assurances without sacrificing many of the …

Microglia Induced Neuroinflammation Through The Nlrp3 Inflammasome Following Blast Traumatic Brain Injury, Daniel Younger

Dissertations

The incidence of traumatic brain injury (TBI) among military personnel have been steadily increasing with modern conflicts. A recent RAND report estimated 320,000 service members, totaling 20% of deployed forces, suffer from TBI. However, of this population roughly 60% have not seen a medical professional specifically for TBI. Unlike the civilian population, the primary cause of TBI for active-duty military personnel is blast exposure. Blasts now account for over 70% of all US military casualties in operation Iraqi Freedom (OIF) and Operation enduring freedom (OEF) and are the major cause of TBI. Among many pathological mechanisms associated with blast TBI, …

Flare Emission Observed In High Resolution And Comparison With Numerical Modeling, Nengyi Huang

Dissertations

As one of the most intense activities on the solar surface, flares have been extensively observed and studied ever since the first report. The standard model of solar flares has been established and commonly accepted. However, many limitations from the researching tools have left some of the problems unsolved or controversial. For example, the density of electrons in the corona is lower than it is required to activate the observed emission in HXR, and the mechanism that these electron beams can penetrate down to lower chromosphere is unclear. Many theoretical scenarios were suggested, and more observations had been in need. …

The Construction Of Student Mathematical Identity And Its Relationship To Academic Achievement, Ann Trescott

Dissertations

The California university and state college systems (UC and CSU) are committed to accepting a diverse student body. Although there has been some growth in the percentage of minority students admitted each year, a low number of minority and socioeconomically disadvantaged students meet minimum entrance requirements. For example, in 2018, only 33% of socioeconomically disadvantaged African American students and 39% Hispanic/Latinx students who graduated from California public high schools met minimum UC/CSU requirements (CDE, 2019).

Explanations for ineligibility include the fact that many high school students have not completed the requisite mathematics classes due in part to the inequitable practice …

The Glass Ceiling: Exploring The Leadership Journey Of Men And Women In High-Tech, Shelia Faye Krueger

Dissertations

The literature is replete with evidence of the proliferation of women entering into the workplace, their remarkable progress in attaining higher education, their overrepresentation in professional and management roles, and their placement in CEO leadership positions in certain high-profile S&P 500 global companies. Yet women continue to be noticeably underrepresented in leadership roles, especially in high tech companies. Through the lenses of social constructivist and feminist theories of gender stereotypes, social/gender roles, and role congruity expectations, this instrumental case study was conducted to gain insight into the reasons women are underrepresented in leadership roles in high tech and the ways …

The Effect Of Principal Leadership On Student Achievement: A Multivariate Meta-Analysis, Huang Wu

Dissertations

Principal leadership has been widely considered as a significant factor for school improvement and student learning. However, there are discrepancies among previous findings and controversies on both the magnitude and nature of the relationship between principal leadership and student achievement. The purpose of this study is to further the understanding of whether and how principal leadership influences student achievement.

This study is a systematic review and multivariate meta-analysis of 42 empirical studies about principal leadership’s effects on student achievement, generated during the period between 2000 and 2020 in the United States. There were three parts for the analyses: (a) a …

Analyzing And Assisting Patient Decision-Making In Online Health Communities, Mingda Li

Dissertations

In recent years, many users have joined online health communities (OHC) to seek information, suggestions and social support. However, little has been studied about the roles of OHCs in patients' decision-making processes. The aim of this research is to analyze OHC data to better understand patient decision-making processes, and to provide assistance to OHC users in their decision-making.

In order to analyze or assist patients in their decision-making, a novel classification model is designed to identify discussion threads in OHC that are related to decision making. This is achieved by building a two-step combined deep learning model. Empirical evaluation shows …