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Exploring the Dimensions of the Learning Organization Questionnaire (DLOQ) for Startup Learning Environments

Although the Dimensions of the Learning Organization Questionnaire (DLOQ) has been widely accepted by the HRD community, it has not been tested in a startup context for reliability. The purpose of the current study is to explore if the DLOQ is a reliable instrument for startups to help them be more successful. The current study seeks to address some of the questions, which have been posed by previous researchers. The study utilizes a mixed-method design applying Cronbach alpha values to check the reliability of the instrument in a startup learning environment, with more than 600 participants and 42 startup businesses at a university in the Mountain West. The study uses objective financial measures for startup firms to explore the correlation between the seven dimensions of the DLOQ and startup companies at the university. Cronbach alphas for the instrument measured at the .80 level or higher. Four of the dimensions were found to be statistically significant resulting in a model that accounted for 30% of the variance in predicted Operating Income (p<.004) and 29% of the variances in predicted Net Income (p<.003). The study also uses qualitative analysis to explore what activities relate to the seven dimensions of the DLOQ, and …
Date: July 2023
Creator: Morris, Mark Orlando
Object Type: Thesis or Dissertation
System: The UNT Digital Library
Exploring Uses of Automated Essay Scoring for ESL: Bridging the Gap between Research and Practice (open access)

Exploring Uses of Automated Essay Scoring for ESL: Bridging the Gap between Research and Practice

Manually grading essays and providing comprehensive feedback pose significant challenges for writing instructors, requiring subjective assessments of various writing elements. Automated essay scoring (AES) systems have emerged as a potential solution, offering improved grading consistency and time efficiency, along with insightful analytics. However, the use of AES in English as a Second Language (ESL) remains rare. This dissertation aims to explore the implementation of AES in ESL education to enhance teaching and learning. The dissertation presents a study involving ESL teachers who learned to use a specific AES system called LightSide, a free and open text mining tool, to enhance writing instruction. The study involved observations, interviews, and a workshop where teachers learned to build their own AES using LightSide. The study aimed to address questions related to teacher interest in using AES, challenges faced by teachers, and the influence of the workshop on teachers' perceptions of AES. By exploring the use of AES in ESL education, this research provides valuable insights to inform the integration of technology and enhance the teaching and learning of writing skills for English language learners.
Date: July 2023
Creator: Tesh, Geneva Marie
Object Type: Thesis or Dissertation
System: The UNT Digital Library

Selection Bias and Sensitivity as Moderators of Prekindergarten Age-Cutoff Regression Discontinuity Study Effects: A Meta-Analysis

The age-cutoff regression discontinuity design (RDD) has emerged as one of the most rigorous quasi-experimental approaches to determining program effects of prekindergarten on literacy and numeracy outcomes for children at kindergarten entry. However, few pre-K meta-analyses have focused attention on validity threats. The current random-effects meta-regression tests the moderating effects of prominent threats to validity, selection bias and sensitivity, on impact estimates generated from age-cutoff regression discontinuity studies from large-scale programs. Results from averaging dependent standardized mean difference effects suggested small positive moderating effects of total attrition and robust 3-month bandwidths on reading effects, but not on math. However, these results were not statistically significant. In contrast, results generated from robust variance estimation yielded a small statistically significant association between total attrition and math effects. These mixed results may warrant further research on prekindergarten evaluation methodology, evaluation estimation methods, and the totality of evidence used to inform policy.
Date: July 2023
Creator: Stewart, Genea K.
Object Type: Thesis or Dissertation
System: The UNT Digital Library
The Good and the Bad Sides of the Protest: Framing Abortion Rights Protests in Photojournalism (open access)

The Good and the Bad Sides of the Protest: Framing Abortion Rights Protests in Photojournalism

In both Mexico and the U.S., abortion rights protests have been taking place in recent years, but while Mexico is moving forward with the legalization of abortion, the U.S. is going in the opposite direction with the overturning of Roe v. Wade. Through framing, journalists select salient information, shaping audiences' understandings of social movements. The protest paradigm suggests that due to journalistic norms and routines, journalists tend to focus on disruptive acts, which can stigmatize the protest. Additionally, scholars have stated that men and women photojournalists have different approaches to covering certain topics. This cross-national research combined a content analysis of photographs in U.S. and Mexican media with in-depth interviews with photojournalists to determine if photojournalists in each country are reproducing the protest paradigm and if there are gendered differences in how they photograph abortion rights protests. The results revealed that women and men photograph differently, with women capturing more intimate photos; however, photojournalists' gendered experiences are also influenced by how protesters perceive them. Furthermore, the study suggests that photojournalists from both countries are questioning objectivity and are attempting to move away from the protest paradigm. This research provides valuable insights into visual framing theory, protest news coverage, and gendered …
Date: July 2023
Creator: Díaz González Vázquez, Greta
Object Type: Thesis or Dissertation
System: The UNT Digital Library
Cultural Elements in Disaster: A Case Study on the Sewol Ferry Tragedy in South Korea (open access)

Cultural Elements in Disaster: A Case Study on the Sewol Ferry Tragedy in South Korea

On April 16, 2014 the Sewol Ferry became one of the worst maritime disasters in South Korea with the loss of 304 passenger, the majority being high school students. South Korea is a collectivist culture, structured as a hierarchical system that teaches their students and children to always respect, listen, and trust authority figures especially in dangerous situations. This study explores how collectivist cultural elements impacted the response of the Sewol Ferry. By examining the timeline of the disaster through interviews, documentaries, news articles and media; this thesis offers insight into what happened that day by providing perspectives from the rescue crew, government officials, survivors, volunteers, and family members of those who died. The analysis showed that in collectivist culture, children and students are taught to trust and listen to authority figures when in dangerous situations, however because of the Sewol disasters, the culture of adhering to the hierarchical systems started to collapse. Students who survived stated that they no longer can trust and respect adults after the incident along with family members of the students who passed away and the public. Also, the government withheld information and failed to protect the children aboard the ferry, because they didn't want …
Date: July 2023
Creator: Vu, Julia PhuongNguyen H.
Object Type: Thesis or Dissertation
System: The UNT Digital Library
3D Printed Self-Activated Carbon Electrodes for Supercapacitor Applications (open access)

3D Printed Self-Activated Carbon Electrodes for Supercapacitor Applications

This study investigated a new approach to achieving high energy density supercapacitors (SCs) by using high surface area self-activated carbon from waste coffee grounds (WCGs) and modifying 3D printed electrodes' porous structure by varying infill density. The derived activated carbons' surface area, pore size, and pore volume were controlled by thermally treating the WCGs at different temperatures (1000˚C, 1100˚C, and 1200˚C) and post-treating with HCL to remove water-soluble ashes and contaminants that block activated carbon pores. Surface area characterization revealed that the carbon activated at 1000˚C had the highest surface of 1173.48 m2 g-1, and with the addition of HCL, the surface area increased to 1209.35 m2 g-1. This activated carbon was used for fabricating the electrodes based on the surface area and having both micropores and macropores, which are beneficial for charge storage. Direct ink writing (DIW) method was utilized for 3D printing SC electrodes and changing the electrode structure by increasing the infill densities at 30%, 50%, and 100%. Upon increasing the infill densities, the electrodes' mass increased linearly, porosity decreased, and the total surface area increased for the 30% and 50% infill electrodes but decreased for the 100% infill electrode. Cyclic voltammetry (CV) test on the assembled …
Date: July 2023
Creator: Disi, Onome Aghogho
Object Type: Thesis or Dissertation
System: The UNT Digital Library
Household Displacement after Hurricane Harvey: Decisions, Destination Choice, and Displacement Patterns (open access)

Household Displacement after Hurricane Harvey: Decisions, Destination Choice, and Displacement Patterns

The thesis examines post-event displacement of households in the year following Hurricane Harvey. Using data gathered from a three-page mail survey conducted approximately 1-year after the storm, this study examines two primary research objectives. First this thesis aims to identify variables that predict displacement or non-displacement after the disaster. Second, this study explores patterns in the destination and duration of displaced households following Hurricane Harvey. Logistic regression analyses were used to examine the extent to which household composition characteristics and level of damage sustained during Hurricane Harvey predicted post-disaster displacement. Next, independent sample t-tests and descriptive statistical analyses were used to identify patterns in the destination of post-event relocations. Research findings indicate in the overall binary logistic regression model that after Hurricane Harvey, being White, level of home damage, wind damage, and number of days a member of the household returned home post-Harvey increased the likelihood of a household being displaced. Analysis of the survey responses also indicated that many households made multiple moves following Hurricane Harvey and specifically, displaced households were more likely to stay with a friend or relative. Additionally, this study found that with each additional relocation, the duration of stay at each destination increased while the …
Date: July 2023
Creator: Sauceda, Miranda
Object Type: Thesis or Dissertation
System: The UNT Digital Library

Linkage of the Nitrilase-Encoding Nit1C Gene Cluster to Cyanotrophy in Acinetobacter haemolyticus

The Nit1C cluster is a conserved gene cluster of seven genes that confers bacterial growth on cyanide as the sole nitrogen source. Bacteria with this ability are referred to as cyanotrophs. To date, the linkage between Nit1C and cyanotrophy has only been demonstrated for environmental isolates but the cluster also exists in certain medically related bacteria. In this study, a nosocomial isolate, Acinetobacter haemolyticus ATCC 19194, carrying Nit1C also displayed the ability to grow on cyanide. Growth on cyanide was accompanied by the induction of the cluster as was the mere exposure of cells to cyanide. Expression of the cluster was determined by measuring the activity of the nitrilase (NitC) coded for by the cluster and by transcriptional analysis (qRT-PCR). However, a disconnect between nitC message and NitC protein was observed depending on the phase of the growth cycle, the disconnect being related to proteolytic digestion of the NitC protein. Ironically, the cluster was also discovered to be upregulated in the absence of cyanide under nitrogen starvation conditions paralleling biofilm formation. The basis of the genetic linkage to cyanotrophy is not understood but taken together with results showing that nitrogen starvation and biofilm formation are also physiologically associated with Nit1C …
Date: July 2023
Creator: Dale, Layla Momo
Object Type: Thesis or Dissertation
System: The UNT Digital Library

Synthesis and Studies of Platinum- and Palladium-Based Porphyrin-Fullerene Conjugates to Study the Long-Lived Charge-Separated States

The research presented in the dissertation deals with the synthesis, characterization, photophysical, electrochemical, and pump probe studies of porphyrin-fullerene based donor-acceptor conjugates. The first chapter provides insights into the introduction of the thesis, which explains the events that occur in natural photosynthesis and the mimicking process of an artificial photosynthesis based on natural photosynthesis, works done in covalently and non-covalently linked donor acceptor systems, and the penetration of the literature related to the long-lived charge-separated states donor-acceptor conjugates. The second chapter details the physical methods employed to monitor the various photochemical processes in the donor-acceptor moiety. The third chapter focusses on designing and synthesizing a platinum porphyrin-fullerene dyad used for long-lived charged-separated state. The formation of a high-energy, long-lived radical ion pair by electron transfer from the triplet excited state is orchestrated in the dyad. The porphyrin ring is modified with three triphenylamine which act as secondary electron donors. The spin state of the electrons leading to the formation of long-lived charge-separated state is demonstrated by time-resolved optical and EPR spectroscopy. The fourth chapter studies metal ligand axial coordination. Two porphyrins were self-assembled via metal-ligand axial coordination of phenyl imidazole functionalized fulleropyrrolidine. A 1:2 complex formation with ImC60 was observed …
Date: July 2023
Creator: Subedi, Dili Raj
Object Type: Thesis or Dissertation
System: The UNT Digital Library

Stories and "Burning Man"

Stories and a novel.
Date: July 2023
Creator: Ray, T. Scott
Object Type: Thesis or Dissertation
System: The UNT Digital Library
Scalable Next Generation Blockchains for Large Scale Complex Cyber-Physical Systems and Their Embedded Systems in Smart Cities (open access)

Scalable Next Generation Blockchains for Large Scale Complex Cyber-Physical Systems and Their Embedded Systems in Smart Cities

The original FlexiChain and its descendants are a revolutionary distributed ledger technology (DLT) for cyber-physical systems (CPS) and their embedded systems (ES). FlexiChain, a DLT implementation, uses cryptography, distributed ledgers, peer-to-peer communications, scalable networks, and consensus. FlexiChain facilitates data structure agreements. This thesis offers a Block Directed Acyclic Graph (BDAG) architecture to link blocks to their forerunners to speed up validation. These data blocks are securely linked. This dissertation introduces Proof of Rapid Authentication, a novel consensus algorithm. This innovative method uses a distributed file to safely store a unique identifier (UID) based on node attributes to verify two blocks faster. This study also addresses CPS hardware security. A system of interconnected, user-unique identifiers allows each block's history to be monitored. This maintains each transaction and the validators who checked the block to ensure trustworthiness and honesty. We constructed a digital version that stays in sync with the distributed ledger as all nodes are linked by a NodeChain. The ledger is distributed without compromising node autonomy. Moreover, FlexiChain Layer 0 distributed ledger is also introduced and can connect and validate Layer 1 blockchains. This project produced a DAG-based blockchain integration platform with hardware security. The results illustrate a practical technique …
Date: July 2023
Creator: Alkhodair, Ahmad Jamal M
Object Type: Thesis or Dissertation
System: The UNT Digital Library

Next Generation Friction Stir Welding Tools for High Temperature Materials

The historical success of friction stir welding (FSW) on materials such as aluminum and magnesium alloys is associated with the absence of melting and solidification during the solid-state process. However, commercial adoption of FSW on steels and other non-ferrous high-strength, high-temperature materials such as nickel-base and titanium-base alloys is limited due to the high costs associated with the process. In this dissertation, the feasibility of using an FSW approach to fabricate certain structural components made of nitrogen containing austenitic stainless steels that go into the vacuum vessel and magnetic systems of tokamak devices was demonstrated. The FSW weldments possessed superior application-specific mechanical and functional properties when compared to fusion weldments reported in the technical literature. However, as stated earlier, the industrial adoption of FSW on high temperature materials such as the ferrous alloys used in the present study is greatly limited due to the high costs associated with the process. The cost is mainly dictated by the high temperature FSW tools used to accomplish the weldments. Commercially available high temperature FSW tools are exorbitantly priced and often have short lifetimes. To overcome the high-cost barrier, we have explored the use of integrated computational materials engineering (ICME) combined with experimental prototyping …
Date: July 2023
Creator: Gaddam, Supreeth
Object Type: Thesis or Dissertation
System: The UNT Digital Library
The Mentorship Experiences of Black Masters Students in CACREP-Accredited Counselor Education Programs (open access)

The Mentorship Experiences of Black Masters Students in CACREP-Accredited Counselor Education Programs

Within this research study, a qualitative phenomenological approach was used to explore the lived experiences of Black master's students (n = 10) who engage in mentorship in CACREP-accredited counselor education programs. The participants in this study represent different ACES regions in the United States, including SACES, NARACES, and NCACES. Six themes were discovered as a result of participants' experiences: (a) impact of mentorship, (b) benefits of mentorship, (c) qualities within mentoring relationships, (d) composition of mentoring relationships, (e) saliency and influence of identity, and (f) barriers to mentorship and program satisfaction. Furthermore, I offer suggestions for increasing support for Black master's students in counseling programs as well as recommendations for supporting the professional and personal development of this population.
Date: July 2023
Creator: Smith, Hailey Brierre
Object Type: Thesis or Dissertation
System: The UNT Digital Library

Incorporating Ethics in Delegation To and From Artificial Intelligence-Enabled Information Systems

AI-enabled information systems (AI-enabled IS) offer enhanced utility and efficiency due to their knowledge-based endowments, enabling human agents to assign and receive tasks from AI-enabled IS. As a result, this leads to improved decision-making, ability to manage laborious jobs, and a decrease in human errors. Despite the performance-based endowments and efficiencies, there are significant ethical concerns regarding the use of and delegation to AI-enabled IS, which have been extensively addressed in the literature on the dark side of artificial intelligence (AI). Notable concerns include bias and discrimination, fairness, transparency, privacy, accountability, and autonomy. However, the Information Systems (IS) literature does not have a delegation framework that incorporates ethics in the delegation mechanism. This work seeks to integrate a mixed deontological-teleological ethical system into the delegation mechanism to (and from) AI-enabled IS. To that end, I present a testable model to ethically appraise various AI-enabled IS as well as ethically evaluate delegation to (and from) AI-enabled IS in various settings and situations.
Date: July 2023
Creator: Saeed, Kashif
Object Type: Thesis or Dissertation
System: The UNT Digital Library

Countering Hate Speech: Modeling User-Generated Web Content Using Natural Language Processing

Social media is considered a particularly conducive arena for hate speech. Counter speech, which is a "direct response that counters hate speech" is a remedy to address hate speech. Unlike content moderation, counter speech does not interfere with the principle of free and open public spaces for debate. This dissertation focuses on the (a) automatic detection and (b) analyses of the effectiveness of counter speech and its fine-grained strategies in user-generated web content. The first goal is to identify counter speech. We create a corpus with 6,846 instances through crowdsourcing. We specifically investigate the role of conversational context in the annotation and detection of counter speech. The second goal is to assess and predict conversational outcomes of counter speech. We propose a new metric to measure conversation incivility based on the number of uncivil and civil comments as well as the unique authors involved in the discourse. We then use the metric to evaluate the outcomes of replies to hate speech. The third goal is to establish a fine-grained taxonomy of counter speech. We present a theoretically grounded taxonomy that differentiates counter speech addressing the author of hate speech from addressing the content. We further compare the conversational outcomes of …
Date: July 2023
Creator: Yu, Xinchen
Object Type: Thesis or Dissertation
System: The UNT Digital Library
Tribocatalytically-Active Coatings for Enhanced Tribological Performance and Carbon-Based Tribofilm Formation (open access)

Tribocatalytically-Active Coatings for Enhanced Tribological Performance and Carbon-Based Tribofilm Formation

In this study, we investigate the fundamental mechanisms defining the approach for addressing tribological challenges in mechanical systems via the use of the tribocatalytically active coating. The coating is designed using an electrodeposition process and consists of a hard amorphous cobalt-phosphorous matrix with the incorporation of tribocatalytically-active nickel and copper. Our focus is on understanding the effect of the tribocatalytic elements, Cu vs Ni, on the coating's performance in high-contact stress conditions, generating local heating, shear, and compression. By optimizing the relative composition and mechanical characteristics of the coating, we aim to enhance its tribological performance in the presence of a hydrocarbon environment. Through extensive characterization of the wear tracks using SEM/EDS and Raman analyses, we identify the formation of a protective carbon-based tribofilm on the coating's surface during sliding as the key factor behind its excellent performance. Our findings not only contribute to the understanding of material transformations in the contact but also offer a robust and versatile approach to addressing tribological challenges in mechanical systems. The development of this innovative coating opens up new possibilities for promoting the formation of protective tribofilms and improving the performance of mechanical components operating in low-viscosity fuels and synthetic oils.
Date: July 2023
Creator: Al Sulaimi, Rawan
Object Type: Thesis or Dissertation
System: The UNT Digital Library
Can In-vivo Self-Monitoring Improve Discrete Trial Instruction Implementation? (open access)

Can In-vivo Self-Monitoring Improve Discrete Trial Instruction Implementation?

Beneficial consumer outcomes are most likely when behavior-analytic interventions are implemented with high procedural fidelity (i.e., degree to which the procedure is implemented as intended). Video self-monitoring, which involves teaching staff members to monitor their own procedural fidelity when watching recordings of themselves, can be used to improve and maintain high procedural fidelity, but video self-monitoring requires additional staff time and resources. In-vivo self-monitoring, which involves monitoring procedural fidelity during or immediately following implementing a behavior-analytic intervention, could be a cost-effective option. However, in-vivo self-monitoring needs additional research to understand its effects on procedural fidelity. This current study analyzed the effects of in-vivo self-monitoring on the procedural fidelity of three behavior technicians implementing discrete trial instruction with children with autism. We used a nonconcurrent multiple baseline across participants design to teach participants how to score their procedural fidelity during their discrete trial instruction session. Data suggested that in-vivo self-monitoring was effective for two out of three participants, and those two participants were more likely to be accurate in their self-scored procedural fidelity. Procedural fidelity for the third participant did not increase with in-vivo or video self-monitoring, and the third participant was less likely to be accurate in their self-scored procedural …
Date: July 2023
Creator: Lai, Rachel Nicole
Object Type: Thesis or Dissertation
System: The UNT Digital Library

Organizational Blockchain Assimilation towards Supply Chain Pain Management and Collaboration

Extant research on technology adoption provides limited insights into the extent of technology penetration into an organization's work routines, especially in collaborative efforts across supply chains. Further research is required to delve into the broader scope of permanent technology-based solutions that effectively tackle specific issues within the supply chain. This dissertation examines blockchain through three essays to fill these research gaps and contributes to blockchain-based supply chain collaboration and performance literature. Essay 1 examines supply chain behavioral drivers of blockchain assimilation by grounding the hypotheses on social network theory. Findings indicate that supply chain learning, collaboration, and network prominence will affect blockchain assimilation through a cross-sectional survey of supply chain professionals familiar with blockchain. It provides psychometrically validated scales for blockchain assimilation and network prominence, adding to the blockchain literature. Essay 2 builds on institutional theory to argue that peripheral organizations in the blockchain-based network will succumb to institutional pressures and that blockchain principles will require them to play crucial roles in supply chain collaboration efforts to gain legitimacy. By adopting a multi-method approach of a vignette-based experiment and a survey, the findings help supply chain collaboration practitioners manage institutional pressures across emerging blockchain-based systems, particularly for organizations in the …
Date: July 2023
Creator: Patil, Kiran Sopandeo
Object Type: Thesis or Dissertation
System: The UNT Digital Library
Effects of Native-English Computer-Assisted Pronunciation Training in an Online Hybrid Learning Environment (open access)

Effects of Native-English Computer-Assisted Pronunciation Training in an Online Hybrid Learning Environment

The purpose of this dissertation was to understand and compare the effect of training non-native English Speaking (NNES) learners (N = 480) in two distinct learning environments, (i) traditional face-to-face and (ii) online synchronous hybrid learning (SHL). In the traditional training mode, NNES learners (n = 360) were trained by NNES voice and accent (VANC) trainers in a physical, face-to-face setting. In the second, CAPT+SHL training mode, the NNES learners were trained by NNES VANC trainers with the help of a native-English computer-assisted pronunciation training (CAPT) tool in an online SHL environment. Factor analysis, higher-order factor analysis, hierarchical cluster analysis, and multidimensional scaling yielded a reliable scale, Eddie's Voice Test (EVT). Multiple regression yielded a predictive model between NNES pronunciation and their performance. In addition, the CAPT+SHL training mode produced higher scores on pronunciation and performance than the traditional training mode, suggesting a combination of NES and NNES VANC instructors are more effective in training NNES learners than NNES instructors by themselves. The case study (n = 3) on VANC trainers' perception of CAPT and SHL yielded three themes: (1) challenges with synchronous hybrid learning (sub-themes include physical challenges, social challenges, and cognitive challenges); (2) computer-assisted pronunciation training (CAPT) impact …
Date: July 2023
Creator: Singh, Bikram Kumar
Object Type: Thesis or Dissertation
System: The UNT Digital Library

Linguistic Racism in the Marketplace

Linguistic racism is faced by non-native customers due to their different language style when they go through the service exchange process. Despite its prevalence and importance, there is a dearth of research about linguistic racism in the marketing literature, especially from consumers' perspectives. This dissertation thus aims to address this gap by focusing on consumers' cognitive and affective responses as a result to their linguistic racism experiences when they interact with service employees (native speakers) from the host country. Toward this goal, first (Essay 1), a qualitative study is performed to anchor the dissertation in the customers' real-life experiences and to help identify key associated themes which are further empirically examined (Essay 2 & 3) in this three-essay format dissertation. Essay 2 empirically investigates if the identity assignment through ones' language style makes customers feel stigmatized and influence their psychological well-being. In addition, how these experiences subsequently influence their inclination to use technology-mediated interfaces. Similarly, the main objective of Essay 3 was to employ a sociological perspective to examine the impact of language-based chronic social exclusion on non-native customers' psychological and behavioral responses in the marketplace. Moreover, their intention to pay higher tip as a refocusing strategy when these customers …
Date: July 2023
Creator: Malik, Aaminah Zaman
Object Type: Thesis or Dissertation
System: The UNT Digital Library
On the Fundamental Limits of Secure Summation and MDS Variable Generation (open access)

On the Fundamental Limits of Secure Summation and MDS Variable Generation

Secure multiparty computation refers to the problem where a number of users wish to securely compute a function on their inputs without revealing any unnecessary information. This dissertation focuses on the fundamental limits of secure summation under different constraints. We first focus on the minimal model of secure computation, in which two users each hold an input and wish to securely compute a function of their inputs at the server. We propose a novel scheme base on the algebraic structure of finite field and modulo ring of integers. Then we extend the minimal model of secure computation, in which K users wish to securely compute the sum of their inputs at the server. We prove a folklore result on the limits of communication cost and randomness cost. Then we characterized the optimal communication cost with user dropouts constraint, when some users may lose connection to the server and the server wishes to compute the sum of remaining inputs. Next, we characterize the optimal communication and randomness cost for symmetric groupwise keys and find the feasibility condition for arbitrary groupwise keys. Last, we study the secure summation with user selection, such that the server may select any subset of users to …
Date: July 2023
Creator: Zhao, Yizhou
Object Type: Thesis or Dissertation
System: The UNT Digital Library
Improving Communication and Collaboration Using Artificial Intelligence: An NLP-Enabled Pair Programming Collaborative-ITS Case Study (open access)

Improving Communication and Collaboration Using Artificial Intelligence: An NLP-Enabled Pair Programming Collaborative-ITS Case Study

This dissertation investigates computational models and methods to improve collaboration skills among students. The study targets pair programming, a popular collaborative learning practice in computer science education. This research led to the first machine learning models capable of detecting micromanagement, exclusive language, and other types of collaborative talk during pair programming. The investigation of computational models led to a novel method for adapting pretrained language models by first training them with a multi-task learning objective. I performed computational linguistic analysis of the types of interactions commonly seen in pair programming and obtained computationally tractable features to classify collaborative talk. In addition, I evaluated a novel metric utilized in evaluating the models in this dissertation. This metric is applicable in the areas of affective systems, formative feedback systems and the broader field of computer science. Lastly, I present a computational method, CollabAssist, for providing real-time feedback to improve collaboration. The empirical evaluation of CollabAssist demonstrated a statistically significant reduction in micromanagement during pair programming. Overall, this dissertation contributes to the development of better collaborative learning practices and facilitates greater student learning gains thereby improving students' computer science skills.
Date: July 2023
Creator: Ubani, Solomon
Object Type: Thesis or Dissertation
System: The UNT Digital Library

The Role of Social Media Influencers in Saudis' Domestic Destination Choice

This study aims to find out the impact of the credibility and content quality of social media influencers on the various stages of the customer's journey and the intention to choose a destination for the Saudi tourist. The target segment was Saudis in general, who are 18 years or above. To conduct this study, 618 usable questionnaires were collected. This study tested twenty-two hypotheses. The result of this study showed that the relationship between content quality, expertise, and similarity was significantly positive with the tourist's desire and information searching. As well, the relationship between the tourist's desire and information searching was significantly positive with the intention of choosing a destination. Conservatism, engagement, and gender were tested as moderators. Conservatism was not significant while the engagement was significant. Gender was only significant in the relationship between content quality and the tourist's desire. This study contributes to information and knowledge in the fields of tourism, hospitality, travel, marketing, tourist behavior, information science, and social media. Researchers and those interested in tourist and customer behavior can benefit from the results of this study. In the industrial field, this study will be very useful to the Saudi government, which has recently begun to rely …
Date: July 2023
Creator: Alamer, Mohammed Abdullah I
Object Type: Thesis or Dissertation
System: The UNT Digital Library
The Impact of Culture on Workplace Performance: A Global Mixed Methods Study (open access)

The Impact of Culture on Workplace Performance: A Global Mixed Methods Study

This research used quantitative and qualitative methodologies to investigate how working professionals are impacted and account for workplace cultural differences. This paper also sought to make a case for additional quantitative and qualitative research into what shapes and maintains culture by looking at leadership's knowledge of their organization's way of doing things and the impact these multiple knowledge areas have on performance. The literature review section analyzed performance improvement models, the effect of leadership, the behavior engineering model (BEM) and related models, organization culture, and performance. This work also outlined the methodology utilized in studying and reviewing culture and performance. This research aimed to determine a better understanding and increase the use of performance improvement and cultural models to aid organizations in achieving their missions.
Date: July 2023
Creator: Beaver, Zach
Object Type: Thesis or Dissertation
System: The UNT Digital Library