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Impact Of Study Abroad To Nazi Concentration Camps: Perceptions Of Interpreting Students On Identity-Building, Sherry Shaw, E. Lynn Jacobowitz, Kaitlynn Himmelreich

Journal of Interpretation

This study focuses on the perceptions of post-secondary interpreting students who traveled to concentration camps, Auschwitz-Birkenau (Poland) and Schloss Hartheim (Austria). The historical context of spoken language interpreters in concentration camps, eugenics in the Deaf community, and extermination of people with disabilities underpin the study’s mixed-methods design, incorporating social identity and transformative learning theories to explore professional identity development. A Deaf, Jewish moderator-participant facilitated four focus groups using photo elicitation to foster narratives. Participants ranked photos and value statements to reveal identity components that most impacted them. A grounded theory approach to analysis revealed four themes triangulated with survey data: …

Examining Teacher Leadership: Phenomenology Of The Perceived Challenges Of Being A Teacher Leader, Noelle H. Green

The Interactive Journal of Global Leadership and Learning

Today’s school leaders recognize that one person, mainly the principal, cannot adequately address the needs of all members of the school community. Many principals rely on teacher leaders to lead alongside them to further school improvement, knowing that the traditional way of thinking of school leadership as being the sole role of the principal is no longer effective or efficient. While K-12 teachers typically have a strong background in child development, psychology, and pedagogy, many lack experience in leading and facilitating adults and have little background in adult learning theory.

The purpose of this research is to determine how K-12 …

Designing Effective Online Courses: Exploring The Relationships Amongst Online Teaching Self-Efficacy, Professional Development, Online Teaching Experience, And Reported Implementation Of Effective Higher Education Online Course Design Practices, Elizabeth Mcmahon

The Interactive Journal of Global Leadership and Learning

How best to prepare and support higher education faculty to design and teach effective online courses is a topic of great significance to higher education institutional leaders and faculty developers. This study explored how hours of professional development along with online teaching and learning experiences were related to online teaching self-efficacy and the extent to which participants reported implementation of effective online course design practices. Using a non-experimental quantitative correlational explanatory research study design, data were collected using a questionnaire. Participants included 104 online faculty from a large public higher education system located in the upper Midwest that includes both …

Core Self-Evaluation Theory In Qualitative Research: Extending A Quantitative Theory Into A Qualitative Framework To Study Community College Faculty., Patria Lawton

The Interactive Journal of Global Leadership and Learning

The use of qualitative research in higher education has long been underutilized, specifically when examining community colleges. The purpose of this article is to demonstrate the need for more qualitative research focusing on the lives and work of community college faculty and to introduce the reader to Judge et al. (1997) Core Self-Evaluation Theory (CSE). The article describes the rationale and process of utilizing CSE as a viable theoretical framework in qualitative research. The author discusses the way in which CSE was extended from a traditional quantitative measure to a qualitative framework by walking the reader through a study which …

Self-Evaluation Of Educational Leadership Practices During Covid-19, Mike Coquyt

The Interactive Journal of Global Leadership and Learning

Due to the COVID-19 pandemic, school districts, and specifically, superintendents, are under increased pressure to lead. Irregularity and ambiguity are now the mantras of those tasked with leading in our schools. Many current research studies aim to evaluate the possible effects of COVID-19 on the system of education (Azorín, 2020; Hargreaves & Fullan, 2020), and advice on how to lead during a crisis (Harris & Jones, 2020; Leithwood et al., 2020, Netolicky, 2020). There are no standards or benchmarks to follow that could potentially aid school leaders as they navigate, lead, and make important decisions that affect how quality instruction …

The Personal And Professional Impact Of Covid-19 On School Counselors: An Exploratory Study., Taryn Akgul, Jessica Brown, Lisa Karch

The Interactive Journal of Global Leadership and Learning

School Counselors historically have faced multiple challenges that impact their lives personally and professionally. Due to numerous and competing demands, school counselors are likely to experience a plethora of stressors including role conflict, high student to school counselor ratios, minimal support, and increasing mental health needs of students. The COVID 19 pandemic exacerbated these challenges by changing and adding to the responsibilities of school counselors, reducing access to appropriate support systems, and increasing students’ needs for counseling services. This qualitative, exploratory study utilized phenomenological inquiry to examine the impact of these challenges on school counselors’ personal and professional lives. The …

Identifying Key Success Indicators In Student Letters For Reinstatement From Suspension, Angela Bowlus, Jamaica Delmar

The Interactive Journal of Global Leadership and Learning

Retaining and graduating students continues to be an issue that higher education institutions are longing to solve, especially for the growing non-traditional student body whose list of competing priorities continues to grow. As academic suspension hinders persistence, this article examines a key aspect of the reinstatement from suspension process for students: the letter of appeal. The narrative provided is impacted by how the writer expresses their acknowledgment of what went wrong and what changes will be made to ensure administrators of future success, it too is impacted by the interpretation of the institutional decision maker. By reviewing a sample of …

Factors That Affect The Rate Of Preterm Birth: An Examination Of The Inter-Related Impacts Of Social Determinants, Behavior And Physical Health Status, Krystal Michelle Hunter

Dissertations

The work seeks to examine the factors that have significant relationships to the rate of preterm birth (PTB) along with its cost to society.

There are four papers within this work. This purpose of the first paper is to measure the impact that healthy behaviors have on the rate of PTB when modeled with other factors like household demographics, community deprivation, chronic disease and mental health. This work finds that positive health behaviors has a negative relationship with PTB. The interaction between body mass index (BMI) and social class and its relationship to PTB is examined in the second paper. …

Exposing And Fixing Causes Of Inconsistency And Nondeterminism In Clustering Implementations, Xin Yin

Dissertations

Cluster analysis aka Clustering is used in myriad applications, including high-stakes domains, by millions of users. Clustering users should be able to assume that clustering implementations are correct, reliable, and for a given algorithm, interchangeable. Based on observations in a wide-range of real-world clustering implementations, this dissertation challenges the aforementioned assumptions.

This dissertation introduces an approach named SmokeOut that uses differential clustering to show that clustering implementations suffer from nondeterminism and inconsistency: on a given input dataset and using a given clustering algorithm, clustering outcomes and accuracy vary widely between (1) successive runs of the same toolkit, i.e., nondeterminism, and …

Crash Injury Severity Prediction With Artificial Neural Networks, Rima Abisaad

Dissertations

Motor vehicle crashes are one of our nation's most serious social, economic and health issues. They are the leading cause of death among children and young adults, killing approximately 1.35 million people each year. Providing a safe and efficient transportation system is the primary goal of transportation engineering and planning. To help reduce traffic fatalities and injuries on roadways, crash prediction models are used to forecast the injury severity of potential crashes and apply precautionary countermeasures accordingly. Most of these models are reactive as they use historical crash data to categorize crash-related factors. Recently, advancements have been made in developing …

Model Checks For Two-Sample Location-Scale, Atefeh Javidialsaadi

Dissertations

Two-sample location-scale refers to a model that permits a pair of standardized random variables to have a common distribution. This means that if X₁ and X₂ are two random variables with means µ₁ and µ₂ and standard deviations ?₁ and ?₂, then (X₁ - µ₁)/?₁ and (X₂ - µ₂)/?₂ have some common unspecified standard or base distribution F₀. Function-based hypothesis testing for these models refers to formal tests that would help determine whether or not two samples may have come from some location-scale …

On Performance Optimization And Prediction Of Parallel Computing Frameworks In Big Data Systems, Haifa Alquwaiee

Dissertations

A wide spectrum of big data applications in science, engineering, and industry generate large datasets, which must be managed and processed in a timely and reliable manner for knowledge discovery. These tasks are now commonly executed in big data computing systems exemplified by Hadoop based on parallel processing and distributed storage and management. For example, many companies and research institutions have developed and deployed big data systems on top of NoSQL databases such as HBase and MongoDB, and parallel computing frameworks such as MapReduce and Spark, to ensure timely data analyses and efficient result delivery for decision making and business …

Statistics-Based Anomaly Detection And Correction Method For Amazon Customer Reviews, Ishani Chatterjee

Dissertations

People nowadays use the Internet to project their assessments, impressions, ideas, and observations about various subjects or products on numerous social networking sites. These sites serve as a great source of gathering information for data analytics, sentiment analysis, natural language processing, etc. The most critical challenge is interpreting this data and capturing the sentiment behind these expressions. Sentiment analysis is analyzing, processing, concluding, and inferencing subjective texts with the views. Companies use sentiment analysis to understand public opinions, perform market research, analyze brand reputation, recognize customer experiences, and study social media influence. According to the different needs for aspect granularity, …

Machine Learning Techniques For Network Analysis, Irfan Lateef

Dissertations

The network's size and the traffic on it are both increasing exponentially, making it difficult to look at its behavior holistically and address challenges by looking at link level behavior. It is possible that there are casual relationships between links of a network that are not directly connected and which may not be obvious to observe. The goal of this dissertation is to study and characterize the behavior of the entire network by using eigensubspace based techniques and apply them to network traffic engineering applications.

A new method that uses the joint time-frequency interpretation of eigensubspace representation for network statistics …

Coherent Control Of Dispersive Waves, Jimmie Adriazola

Dissertations

This dissertation addresses some of the various issues which can arise when posing and solving optimization problems constrained by dispersive physics. Considered here are four technologically relevant experiments, each having their own unique challenges and physical settings including ultra-cold quantum fluids trapped by an external field, paraxial light propagation through a gradient index of refraction, light propagation in periodic photonic crystals, and surface gravity water waves over shallow and variable seabeds. In each of these settings, the physics can be modeled by dispersive wave equations, and the technological objective is to design the external trapping fields or propagation media such …

Private And Federated Deep Learning: System, Theory, And Applications For Social Good, Han Hu

Dissertations

During the past decade, drug abuse continues to accelerate towards becoming the most severe public health problem in the United States. The ability to detect drug­abuse risk behavior at a population scale, such as among the population of Twitter users, can help to monitor the trend of drug­abuse incidents. However, traditional methods do not effectively detect drug­abuse risk behavior in tweets, mainly due to the sparsity of such tweets and the noisy nature of tweets. In the first part of this dissertation work, the task of classifying tweets as containing drug­abuse risk behavior or not, is studied. Millions of public …

Improving Programming Learners’ Experience Through Interactive Computer Tutor Based Moocs, Ruiqi Shen

Dissertations

With the large demand for technology workers all around the world, more people are learning programming. Studies show that human tutoring is the most effective way to learn for novice programmers. However, problems such as the inaccessibility to physical classes, prohibitive costs, and the lack of educators may limit students' opportunities to learn from these resources. Additionally, because programming is a skill requiring continuous practice and immediate feedback, simply listening to lectures may not be sufficient to learn effectively. This increases the inconvenience of learners who use online learning tools such as Massive Open Online Courses (MOOCs).

In recent years, …

Iii-Nitride Nanostructures: Photonics And Memory Device Applications, Barsha Jain

Dissertations

III-nitride materials are extensively studied for various applications. Particularly, III-nitride-based light-emitting diodes (LEDs) have become the major component of the current solid-state lighting (SSL) technology. Current III-nitride-based phosphor-free white color LEDs (White LEDs) require an electron blocking layer (EBL) between the device active region and p-GaN to control the electron overflow from the active region, which has been identified as one of the primary reasons to adversely affect the hole injection process. In this dissertation, the effect of electronically coupled quantum well (QW) is investigated to reduce electron overflow in the InGaN/GaN dot-in-a-wire phosphor-free white LEDs and to improve the …

Hydrophobically Modified Isosorbide Dimethacrylates As Biomaterials For Bisphenol A Free Dental Fillings, Bilal Marie

Dissertations

Amalgam and Bisphenol A glycerolate dimethacrylate (BisGMA) are the main dental filling materials in use today. Because of the negative perception of amalgam and its lower esthetic appeal, as well as the desire to replace the endocrine disruptor Bisphenol A, which is the building block of BisGMA, there has been a critical need to search for safer alternatives to these dental filling materials.

Isosorbide is a sugar-based molecule generally recognized as safe. It has been extensively studied as a replacement to the Bisphenol A core in various materials. However, isosorbide is extremely hygroscopic, and water uptake in dental fillings causes …

Ecological Restoration Parks In Xi’An, China: An Evolving Type, Han Yan

Dissertations

This dissertation examines four urban ecological restoration projects used as public spaces in the city of Xi'an, China. The overall goal is to understand the social and ecological implications of the site features at both design and planning scale and define what is ecological restoration in China's urban context. The result of the research shows that the top-down planning initiatives approach for establishing ecological restoration sites in urban areas that meet the need for more public open space in addition to restoring healthy urban ecological systems is very different from the definition of what is traditionally understood as "ecological restoration". …

A Vacuum-Driven Distillation Technology Of Aqueous Solutions And Mixtures, Guo Guangyu

Dissertations

Distillation of aqueous solutions and aqueous mixtures has vast industrial applications, including desalination, wastewater treatment, and fruit juice concentration. Currently, two major distillation technologies are adopted in the industry, membrane separation and thermal distillation. However, both of them face certain inevitable drawbacks. Membrane separation has disadvantages as relying on high-grade energy, requiring membrane, fouling problem, narrow treatment range, limited scalability, and vibrating and noisy operating conditions. Traditional thermal distillation technologies can avoid above concerns but has other shortcomings, such as relatively low energy efficiency and yield rate, complicated and bulky system structure, and scaling problem.

This project proposes an innovative …

On Resource-Efficiency And Performance Optimization In Big Data Computing And Networking Using Machine Learning, Wuji Liu

Dissertations

Due to the rapid transition from traditional experiment-based approaches to large-scale, computational intensive simulations, next-generation scientific applications typically involve complex numerical modeling and extreme-scale simulations. Such model-based simulations oftentimes generate colossal amounts of data, which must be transferred over high-performance network (HPN) infrastructures to remote sites and analyzed against experimental or observation data on high-performance computing (HPC) facility. Optimizing the performance of both data transfer in HPN and simulation-based model development on HPC is critical to enabling and accelerating knowledge discovery and scientific innovation. However, such processes generally involve an enormous set of attributes including domain-specific model parameters, network transport …

Electro-Chemo-Mechanics Of The Interfaces In 2d-3d Heterostructure Electrodes, Vidushi Sharma

Dissertations

Unique heterostructure electrodes comprising two-dimensional (2D) materials and bulk three dimensional (3D) high-performance active electrodes are recently synthesized and experimentally tested for their electrochemical performance in metal-ion batteries. Such electrodes exhibit long cycle life while they also retain high-capacity inherent to the active electrode. The role of 2D material is to provide a supportive mesh that allows buffer space for volume expansions upon ion intercalation in the active material and establishes a continuous electronic contact. Therefore, the binding strength between both materials is crucial for the success of such electrodes. Furthermore, battery cycles may bring about phase transformations in the …

Experimental And Computational Studies Of Functionalized Carbon Nanotubes For Use In Energy Storage Devices And Membranes, Emine S. Karaman

Dissertations

Electrolytes with good interfacial stability are a crucial component of any electrochemical device. The development of novel gel polymer electrolytes (GEs) with good interface stability and better manufacturability is important for the development of the next generation electrochemical devices. Gel electrolytes are hybrid electrolyte materials, combining benefits of both liquid and solid systems. Compared with liquid and solid electrolytes, GEs open new design opportunities and do not require rigorous encapsulation methods. In this dissertation, studies on functionalized carbon nanotubes (fCNTs) and graphene oxide (GO) doped polyvinyl alcohol (PVA) based gel electrolytes (GEs) are reported. The ionic conductivity and mechanical strength …

A Practical Approach To Automated Software Correctness Enhancement, Aleksandr Zakharchenko

Dissertations

To repair an incorrect program does not mean to make it correct; it only means to make it more-correct, in some sense, than it is. In the absence of a concept of relative correctness, i.e. the property of a program to be more-correct than another with respect to a specification, the discipline of program repair has resorted to various approximations of absolute (traditional) correctness, with varying degrees of success. This shortcoming is concealed by the fact that most program repair tools are tested on basic cases, whence making them absolutely correct is not clearly distinguishable from making them relatively more-correct. …

Parameter Estimation And Inference Of Spatial Autoregressive Model By Stochastic Gradient Descent, Gan Luan

Dissertations

Stochastic gradient descent (SGD) is a popular iterative method for model parameter estimation in large-scale data and online learning settings since it goes through the data in only one pass. While SGD has been well studied for independent data, its application to spatially-correlated data largely remains unexplored. This dissertation develops SGD-based parameter estimation and statistical inference algorithms for the spatial autoregressive (SAR) model, a common model for spatial lattice data.

This research contains three parts. (I) The first part concerns SGD estimation and inference for the SAR mean regression model. A new SGD algorithm based on maximum likelihood estimator (MLE) …

When Economic And Political Interests Collide: The Cases Of Defense Procurement And Microfinance In India, Mackenzie Owens

Politics and International Relations Research Papers

India is a growing democracy with an abundant population that seeks economic development; India is a democracy in an ever more important, strategic location. It is essential to better understand India, its politics, and its policies as geopolitical tensions rise in our world. India will be explored via a political economy approach through three sections in this paper: (1) The Political System of India; (2) India’s Trade Policy toward Defense Procurement; (3) The Microfinance Crisis of 2010. India looks to develop its domestic industries, grow investment, while defending its interests and sovereignty.

Florida Frontiers Radio Program #450, Dr. Ben Brotemarkle, Florida Historical Society

Florida Frontiers Radio Transcripts

SEGMENTS | Greek Culture in Tarpon Springs | Reflections on Time | New Deal Public Works Projects

Developing An E-Module Of Making Edmodo-Based Hosanna Moda System Bustier To Improve Learning Independence And Learning Achievement, Lestari Rochmatun Choirunnisya', Putu Sudira

Jurnal Pendidikan Vokasi

This study aims to: 1.) Develop an Edmodo-based e-module for making Hosanna Moda system bustier to increase independence and achievement in learning custom-made clothing; 2.) Describe the feasibility of the developed e-module; and 3.) Reveal the effectiveness of the developed e-module in increasing student learning independence and learning achievement. This research is development research, which was carried out on grade XII students of Fashion, State Vocational High School 3 Magelang. The product trial consisted of a validity test by three experts, a small-scale trial involving 12 students, a large-scale trial involving 24 students, and an effectiveness test involving one control …

Developing Competency-Based Assessment At Vocational High School (Vhs) In Bali, Dessy Seri Wahyuni

Jurnal Pendidikan Vokasi

This paper aims to resolve the difficulties of implementing competency-based assessment (CBA) in vocational high school while practicing in the workplace. This research was performed employing a qualitative exploratory descriptive (QED) method. The respondents are 109 participants from vocational teachers, industry experts, VHS students, and technical certification organizations. The implementation of CBA generates the competency standards of graduates in schools that meet the industry's competency needs. CBA is carried out by creating competency levels, college and workplace learning as students practice doing industrial work. This study's findings suggest aspects of CBA that provide a fair degree of application of the …