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Late Starts Leading To Native-Like Pronunciation In Second Language Acquisition, Antonio Losavio Aug 2023

Late Starts Leading To Native-Like Pronunciation In Second Language Acquisition, Antonio Losavio

Electronic Theses and Dissertations, 2020-2023

This study sought to investigate the self-perceived factors that led adult language learners, who acquired L2 after the critical period, to acquire native like pronunciation in their second language. Given the impact of accent and pronunciation on perceptions of a speaker's status, intelligence and/or competence, there exists a need for thoughtful and comprehensive research into why adult second language learners reach different outcomes in pronunciation attainment. A qualitative phenomenological design was employed to recruit adults who began learning English as an L2 after 12 years old but attained a native-like English accent. Participants recorded vocal samples that were presented with …

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Investigation Of Ground Deformations And Vibrations Due To Impact Pile Driving: Measurements And Prediction Model, Berk Turkel Aug 2023

Investigation Of Ground Deformations And Vibrations Due To Impact Pile Driving: Measurements And Prediction Model, Berk Turkel

Electronic Theses and Dissertations, 2020-2023

Pile driving, a commonly used method for installing deep foundations, has gained prominence as a foundation solution to transfer structural loads to deep competent strata. However, this method of installation can generate noise, ground vibrations, and deformations. These effects pose risks to adjacent structures and buried utilities, jeopardizing the safety and serviceability of urban infrastructure. Researchers and public and private agencies have proposed many vibration limit criteria to avoid damage to infrastructure. However, these criteria for construction vibrations are not linked to the ground densification associated with repetitive and cumulative loadings in sandy soils. This dissertation focuses on developing a …

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Amazonian Wetland Domestication: A Spatial Analysis Of Pre-Columbian Fish Weirs In Lowland Bolivia, Charlotte Robinson Aug 2023

Amazonian Wetland Domestication: A Spatial Analysis Of Pre-Columbian Fish Weirs In Lowland Bolivia, Charlotte Robinson

Electronic Theses and Dissertations, 2020-2023

Recent archaeological studies show that pre-Columbian communities began modifying Southwestern Amazonia approximately 3,500 years ago. In lowland Bolivia, a recently mapped network of fish weirs in West Central Llanos de Mojos (WCM) demonstrates how ancient Mojeño groups built artificial earthworks to harness seasonal flooding and catch fish. In the eastern region of Baures, a similar complex of fish weirs has been studied since the 1990s, generating questions about how this system may function in a different hydrological and anthropogenic setting. Similarly, previous research within WCM has focused on the fields and forest islands that pre-Columbian populations built to elevate themselves …

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An Exploration Of The Digital Technology Skills Important In The Workforce And The Digital Technology Preparation Of Individuals With Intellectual Disabilities In Inclusive Postsecondary Education Programs, Erika Moore Aug 2023

An Exploration Of The Digital Technology Skills Important In The Workforce And The Digital Technology Preparation Of Individuals With Intellectual Disabilities In Inclusive Postsecondary Education Programs, Erika Moore

Electronic Theses and Dissertations, 2020-2023

This research study identifies the digital technology skills important for entry-level employees in the 21st-century workforce and assesses the digital technology preparation currently provided in Inclusive Postsecondary Education programs for students with intellectual disabilities. Digital technology skills were evaluated using the Digital Competence Conceptual Reference Model (2016). A survey was distributed to 100 U.S. employers to assess the digital technology skills in demand in the workforce. Inclusive Postsecondary Education programs were then evaluated to assess the digital technology skill preparation offered at 83 programs across the U.S. The results were analyzed to determine whether Inclusive Postsecondary Education programs are preparing …

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The Effect Of Extended Reality On The Science Achievement Gap Between Students With And Without Disabilities, Shalece Kohnke Aug 2023

The Effect Of Extended Reality On The Science Achievement Gap Between Students With And Without Disabilities, Shalece Kohnke

Electronic Theses and Dissertations, 2020-2023

A science achievement gap between students with disabilities (SWD) and students without disabilities continues to persist, impacting academic and occupational outcomes. Traditional science instruction and the abstract nature of science concepts are a barrier to science achievement for students with disabilities. The current research study examined the effect of extended reality (XR; Browser-based 360° virtual reality) on closing the science achievement gap between students with and without disabilities in inclusive biology classrooms using a one group pretest-posttest design. The researcher expands on existing research by utilizing a larger sample size, with free and easily accessible XR technology implemented in 9th …

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A Phenomenological Exploration Of Transfer Students' Experiences With Coaching And Advising At A Large Metropolitan Research University, Mirvate El Jerdi Aug 2023

A Phenomenological Exploration Of Transfer Students' Experiences With Coaching And Advising At A Large Metropolitan Research University, Mirvate El Jerdi

Electronic Theses and Dissertations, 2020-2023

The number of students transferring from state colleges to state universities in Florida is significant due to the articulation agreements that are supported by the Board of Governors. These agreements allow students who have completed an associate degree to transfer their credits toward a bachelor's degree at a state university. However, transfer students face numerous barriers including academic, financial, and personal that hinder their success as they transition and start their first year at the state university. A large metropolitan public university in Florida has implemented success coaching, a new model of holistic student support, and advising services to provide …

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A Phenomenological Inquiry On How Social Markers Inform Preservice Elementary Teachers Science Teacher Identity Through The Lens Of Positionality, Katherine Cruz-Deiter Aug 2023

A Phenomenological Inquiry On How Social Markers Inform Preservice Elementary Teachers Science Teacher Identity Through The Lens Of Positionality, Katherine Cruz-Deiter

Electronic Theses and Dissertations, 2020-2023

This qualitative study explores the lived experiences of preservice elementary teachers (PSETs) in a teacher preparation course and the factors that informed their science teacher identity. The theoretical framework used was phenomenology, and the study addresses under researched undergraduate preservice elementary teachers within teacher preparation courses with no teaching experience. Methods included participant survey, semi structured interviews, and a card sort activity. Analysis was conducted with basic statistical methods for the quantitative data, and coding followed by creating themes for the qualitative data. Findings reveal that the responses (n=28) to an open question survey report 21 PSETs did not identify …

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Efficient Convolutional Neural Networks For Image Classification And Regression, Muhammad Tayyab Aug 2023

Efficient Convolutional Neural Networks For Image Classification And Regression, Muhammad Tayyab

Electronic Theses and Dissertations, 2020-2023

Neural networks have been a topic of research since 1970s and the Convolutional Neural Networks (CNNs) were first shown to work well for hand written digits recognition in 1998. These early networks were however still shallow and contained only a few layers. Moreover these networks were mostly trained on a small amount of data in contrast to the modern CNNs which contain hundreds of convolution layers and are trained on millions of images. However, this recent shift in machine learning comes at a cost. Modern neural networks have extremely large number of parameters and require huge amount of computations for …

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A Study Of The Performance Of Wind Turbines Fitted With Sprayed Liquid Flaps, Alexander Spitzer Aug 2023

A Study Of The Performance Of Wind Turbines Fitted With Sprayed Liquid Flaps, Alexander Spitzer

Electronic Theses and Dissertations, 2020-2023

Lift generating technologies are often considered a potential solution to increased power generation and reliability within wind turbine design. The Sprayed Liquid Flap (SLF) is a novel active control method that has shown success in providing lift generation on aircraft wings, but its application in the context of rotating flows is unexplored. This research aims to understand the effects of the SLF on a wind turbine and provide a pathway for future exploration of its aerodynamic impacts on rotating flows. Computational Fluid Dynamics with an Euler-Euler multiphase approach is employed to assess the influence of the SLF on a wind …

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Performance Comparison Of Low-Cost Sensors Across Six Cities Of Continental United States, Md Hasibul Hasan Aug 2023

Performance Comparison Of Low-Cost Sensors Across Six Cities Of Continental United States, Md Hasibul Hasan

Electronic Theses and Dissertations, 2020-2023

In the field of air quality measurement, low-cost sensors have been extensively used for capturing high-resolution spatial and temporal pollutant concentrations. However, data accuracy and the impact of environmental conditions particularly temperature and relative humidity, remain a significant issue. Careful sensor calibrations against reference instruments are necessary for ensuring data accuracy and validity. This study investigated the effectiveness of multiple calibration methodologies (linear calibration, 3rd order polynomial calibration, and Random Forest, RF) for low-cost air quality sensor calibration across six cities (Atlanta, Portland, Riverside, Sacramento, New York City, and Phoenix) in the United States. The data for this study is …

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Trajectory Design Optimization Using Coupled Radial Basis Functions (Crbfs), Kyler Roy Aug 2023

Trajectory Design Optimization Using Coupled Radial Basis Functions (Crbfs), Kyler Roy

Electronic Theses and Dissertations, 2020-2023

Optimal trajectory design has been extensively studied across multiple disciplines adopting different techniques for implementation and execution. It has been utilized in past space trajectory missions to either optimize the amount of fuel spent or minimize the time of flight to meet mission requirements. Coupled Radial Basis Functions (CRBFs) are a new way to solve these optimal control problems, and this thesis applies CRBFs to spacecraft trajectory optimization design problems. CRBFs are real-valued radial basis functions (RBFs) that utilize a conical spline while also not being affected by the value of the shape parameter. The CRBF approach is applied to …

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Planeswalking: Magic: The Gathering Across Analog And Digital Platforms, Jack Murray Aug 2023

Planeswalking: Magic: The Gathering Across Analog And Digital Platforms, Jack Murray

Electronic Theses and Dissertations, 2020-2023

This dissertation analyzes the relationship between Wizards of the Coast's trading card game Magic: The Gathering and its digital adaptations. I used critical technocultural, ludic discourse analysis, and ludic textual analysis to examine the analog trading card game and digital adaptations. I examined an archive of paratextual media including trade magazines, developer blogs, game reviews, and player guides. I chose Magic for its long history, impact on the analog game industry, and the sheer number of adaptations that have been produced. This analysis begins by introducing a method for describing analog to digital adaptations called Adaptation Mapping. Adaptation mapping describes …

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A Study On Robustness And Semantic Understanding Of Visual Models, Madeline Chantry Aug 2023

A Study On Robustness And Semantic Understanding Of Visual Models, Madeline Chantry

Electronic Theses and Dissertations, 2020-2023

Vision models have improved in popularity and performance on many tasks since the emergence of large-scale datasets, improved access to computational resources, and new model architectures like the transformer. However, it is still not well understood if these models can be deployed in the real world. Because these models are "blackbox" architectures, we do not fully understand what these models are truly learning. An understanding of what models learn "underneath the hood" would result in better improvements for real-world scenarios. Motivated by this, we benchmark these impressive visual models using newly proposed datasets and tasks on their robustness and their …

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Design Of Stormwater Bmps For Surface And Groundwater Protection Based On Site-Scale Soil Properties: Phase I, Kelly Kibler, Lisa Chambers, Melanie Beazley Aug 2023

Design Of Stormwater Bmps For Surface And Groundwater Protection Based On Site-Scale Soil Properties: Phase I, Kelly Kibler, Lisa Chambers, Melanie Beazley

Florida DOT

Much of Earth’s nutrient cycling takes place in soils. Characteristics of soils control physical, chemical, and biological processes that determine rates of nutrient fluxes, storage, or transformation. As remediation of excess nutrients in stormwater runoff is one function of stormwater Best Management Practices (BMPs), the soil profile constitutes one of the most important factors of BMP design. Variation observed in BMP effectiveness (e.g., why one BMP design works effectively in one place and not another) can often be explained by variations in the soil profile, either through direct means or by a soil’s influence on hydraulics of stormwater flow through …

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University Of Central Florida Graduate Catalog, 2023 - 2024, University Of Central Florida Aug 2023

University Of Central Florida Graduate Catalog, 2023 - 2024, University Of Central Florida

UCF Catalogs

No abstract provided.

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University Of Central Florida Undergraduate Catalog, 2023 - 2024, University Of Central Florida Aug 2023

University Of Central Florida Undergraduate Catalog, 2023 - 2024, University Of Central Florida

UCF Catalogs

No abstract provided.

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Who Is (Communicatively More) Responsible Behind The Wheel? Applying The Theory Of Communicative Responsibility To Tam In The Context Of Using Navigation Technology, Sungbin Youk, Hee Sun Park Jul 2023

Who Is (Communicatively More) Responsible Behind The Wheel? Applying The Theory Of Communicative Responsibility To Tam In The Context Of Using Navigation Technology, Sungbin Youk, Hee Sun Park

Human-Machine Communication

By examining how perceived usefulness and ease of use relate to the user’s perception (i.e., communicative responsibility), the communicative behavior of the navigation system (i.e., the landmarks used to give directions), and the context of driving (i.e., familiarity of the driving location), this study applies the theory of communicative responsibility to the technology acceptance model to better understand why users are more likely to adopt certain navigation technologies while driving. We hypothesized that users’ perceived symmetry in communicative responsibility independently and interactively (with communicative behavior of the navigation system and the driving situation) affects perceived ease of use and usefulness …

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Human-Machine Communication: Complete Volume. Volume 6 Jul 2023

Human-Machine Communication: Complete Volume. Volume 6

Human-Machine Communication

This is the complete volume of HMC Volume 6.

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Boundary Regulation Processes And Privacy Concerns With (Non-)Use Of Voice-Based Assistants, Jessica Vitak, Priya C. Kumar, Yuting Liao, Michael Zimmer Jul 2023

Boundary Regulation Processes And Privacy Concerns With (Non-)Use Of Voice-Based Assistants, Jessica Vitak, Priya C. Kumar, Yuting Liao, Michael Zimmer

Human-Machine Communication

An exemplar of human-machine communication, voice-based assistants (VBAs) embedded in smartphones and smart speakers simplify everyday tasks while collecting significant data about users and their environment. In recent years, devices using VBAs have continued to add new features and collect more data—in potentially invasive ways. Using Communication Privacy Management theory as a guiding framework, we analyze data from 11 focus groups with 65 US adult VBA users and nonusers. Findings highlight differences in attitudes and concerns toward VBAs broadly and provide insights into how attitudes are influenced by device features. We conclude with considerations for how to address boundary regulation …

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Valenced Media Effects On Robot-Related Attitudes And Mental Models: A Parasocial Contact Approach, Jan-Philipp Stein, Jaime Banks Jul 2023

Valenced Media Effects On Robot-Related Attitudes And Mental Models: A Parasocial Contact Approach, Jan-Philipp Stein, Jaime Banks

Human-Machine Communication

Despite rapid advancements in robotics, most people still only come into contact with robots via mass media. Consequently, robot-related attitudes are often discussed as the result of habituation and cultivation processes, as they unfold during repeated media exposure. In this paper, we introduce parasocial contact theory to this line of research— arguing that it better acknowledges interpersonal and intergroup dynamics found in modern human–robot interactions. Moreover, conceptualizing mediated robot encounters as parasocial contact integrates both qualitative and quantitative aspects into one comprehensive approach. A multi-method experiment offers empirical support for our arguments: Although many elements of participants’ beliefs and attitudes …

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Triggered By Socialbots: Communicative Anthropomorphization Of Bots In Online Conversations, Salla-Maaria Laaksonen, Kaisa Laitinen, Minna Koivula, Tanja Sihvonen Jul 2023

Triggered By Socialbots: Communicative Anthropomorphization Of Bots In Online Conversations, Salla-Maaria Laaksonen, Kaisa Laitinen, Minna Koivula, Tanja Sihvonen

Human-Machine Communication

This article examines communicative anthropomorphization, that is, assigning of humanlike features, of socialbots in communication between humans and bots. Situated in the field of human-machine communication, the article asks how socialbots are devised as anthropomorphized communication companions and explores the ways in which human users anthropomorphize bots through communication. Through an analysis of two datasets of bots interacting with humans on social media, we find that bots are communicatively anthropomorphized by directly addressing them, assigning agency to them, drawing parallels between humans and bots, and assigning emotions and opinions to bots. We suggest that socialbots inherently have anthropomorphized characteristics and …

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Seriously, What Did One Robot Say To The Other? Being Left Out From Communication By Robots Causes Feelings Of Social Exclusion, Astrid M. Rosenthal-Von Der Pütten, Nikolai Bock Jul 2023

Seriously, What Did One Robot Say To The Other? Being Left Out From Communication By Robots Causes Feelings Of Social Exclusion, Astrid M. Rosenthal-Von Der Pütten, Nikolai Bock

Human-Machine Communication

While humans actually need some overt communication channel to transmit information, be it verbally or nonverbally, robots could use their network connection to transmit information quickly to other robots. This raises the question how this covert robot-robot communication is perceived by humans. The current study investigates how transparency about communication happening between two robots affects humans’ trust in and perception of these robots as well as their feeling of being included/excluded in the interaction. Three different robot-robot communication styles were analyzed: silent, robotic language, and natural language. Results show that when robots transmit information in a robotic language (beep sounds) …

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Human-Ai Teaming During An Ongoing Disaster: How Scripts Around Training And Feedback Reveal This Is A Form Of Human-Machine Communication, Keri K. Stephens, Anastazja G. Harris, Amanda L. Hughes, Carolyn E. Montagnolo, Karim Nader, S. Ashley Stevens, Tara Tasuji, Yifan Xu, Hemant Purohit, Christopher W. Zobel Jul 2023

Human-Ai Teaming During An Ongoing Disaster: How Scripts Around Training And Feedback Reveal This Is A Form Of Human-Machine Communication, Keri K. Stephens, Anastazja G. Harris, Amanda L. Hughes, Carolyn E. Montagnolo, Karim Nader, S. Ashley Stevens, Tara Tasuji, Yifan Xu, Hemant Purohit, Christopher W. Zobel

Human-Machine Communication

Humans play an integral role in identifying important information from social media during disasters. While human annotation of social media data to train machine learning models is often viewed as human-computer interaction, this study interrogates the ontological boundary between such interaction and human-machine communication. We conducted multiple interviews with participants who both labeled data to train machine learning models and corrected machine-inferred data labels. Findings reveal three themes: scripts invoked to manage decision-making, contextual scripts, and scripts around perceptions of machines. Humans use scripts around training the machine—a form of behavioral anthropomorphism—to develop social relationships with them. Correcting machine-inferred data …

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Chatgpt, Lamda, And The Hype Around Communicative Ai: The Automation Of Communication As A Field Of Research In Media And Communication Studies, Andreas Hepp, Wiebke Loosen, Stephan Dreyer, Juliane Jarke, Sigrid Kannengießer, Christian Katzenbach, Rainer Malaka, Michaela Pfadenhauer, Cornelius Puschmann, Wolfgang Schulz Jul 2023

Chatgpt, Lamda, And The Hype Around Communicative Ai: The Automation Of Communication As A Field Of Research In Media And Communication Studies, Andreas Hepp, Wiebke Loosen, Stephan Dreyer, Juliane Jarke, Sigrid Kannengießer, Christian Katzenbach, Rainer Malaka, Michaela Pfadenhauer, Cornelius Puschmann, Wolfgang Schulz

Human-Machine Communication

The aim of this article is to more precisely define the field of research on the automation of communication, which is still only vaguely discernible. The central thesis argues that to be able to fully grasp the transformation of the media environment associated with the automation of communication, our view must be broadened from a preoccupation with direct interactions between humans and machines to societal communication. This more widely targeted question asks how the dynamics of societal communication change when communicative artificial intelligence—in short: communicative AI—is integrated into aspects of societal communication. To this end, we recommend an approach that …

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Disentangling Two Fundamental Paradigms In Human-Machine Communication Research: Media Equation And Media Evocation, Margot J. Van Der Goot, Katrin Etzrodt Jul 2023

Disentangling Two Fundamental Paradigms In Human-Machine Communication Research: Media Equation And Media Evocation, Margot J. Van Der Goot, Katrin Etzrodt

Human-Machine Communication

In this theoretical paper, we delineate two fundamental paradigms in how scholars conceptualize the nature of machines in human-machine communication (HMC). In addition to the well-known Media Equation paradigm, we distinguish the Media Evocation paradigm. The Media Equation paradigm entails that people respond to machines as if they are humans, whereas the Media Evocation paradigm conceptualizes machines as objects that can evoke reflections about ontological categories. For each paradigm, we present the main propositions, research methodologies, and current challenges. We conclude with theoretical implications on how to integrate the two paradigms, and with a call for mixed-method research that includes …

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Archipelagic Human-Machine Communication: Building Bridges Amidst Cultivated Ambiguity, Marco Dehnert Jul 2023

Archipelagic Human-Machine Communication: Building Bridges Amidst Cultivated Ambiguity, Marco Dehnert

Human-Machine Communication

In this commentary, I call for maintaining the archipelagic character of human-machine communication (HMC). Utilizing the metaphor of the archipelago or a chain of connected islands indicates that HMC entails a variety of islands differing in shape, size, location, and proximity to one another. Rather than aiming for conceptual unity and definitional homogeneity, I call for embracing a cultivated ambiguity related to HMC key concepts. Ambiguity in the sense of allowing these concepts to be flexible enough to be explored in different contexts. Cultivated in the sense of demanding resonance across individual studies and theoretical lineages to allow for cumulative …

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Defining Dialogues: Tracing The Evolution Of Human-Machine Communication, Andrew Prahl, Autumn P. Edwards Jul 2023

Defining Dialogues: Tracing The Evolution Of Human-Machine Communication, Andrew Prahl, Autumn P. Edwards

Human-Machine Communication

This introduction to the volume discusses the evolving field of Human-Machine Communication (HMC), drawing on insights from the philosophy of science. We explore critical debates in the field, underscoring the importance of challenging assumptions, embracing interfield work, and fostering dialogue in shaping our understanding of HMC. Moreover, we celebrate the vibrant collaboration between disciplines that drives progress in HMC. This piece serves as an invitation to join the exploration of this collection and contribute to shaping the future of HMC.

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Analysis Of Credit Approval By Decision Tree, Amir Alipour Yengejeh May 2023

Analysis Of Credit Approval By Decision Tree, Amir Alipour Yengejeh

Data Science and Data Mining

Nowadays, machine learning algorithms are com-
monly used by the financial institutions or bankers to evaluate
the applications’ requires for credit card. In this study, we used
the decision tree algorithm to predict credit card approval based
on the other associated features applicants like age, employment
status, Education Level, etc. Our results shows that the applicants’
Prior Default and Debt, and Employed have more contribution
in the credit card approval.

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Movie Recommender System Using Matrix Factorization, Roland Fiagbe May 2023

Movie Recommender System Using Matrix Factorization, Roland Fiagbe

Data Science and Data Mining

Recommendation systems are a popular and beneficial field that can help people make informed decisions automatically. This technique assists users in selecting relevant information from an overwhelming amount of available data. When it comes to movie recommendations, two common methods are collaborative filtering, which compares similarities between users, and content-based filtering, which takes a user’s specific preferences into account. However, our study focuses on the collaborative filtering approach, specifically matrix factorization. Various similarity metrics are used to identify user similarities for recommendation purposes. Our project aims to predict movie ratings for unwatched movies using the MovieLens rating dataset. We developed …

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Tracing The History Of Discourses On Professionalism In The “Sister Professions” Of Librarianship And Social Work In The United States, Rachel E. Trnka Apr 2023

Tracing The History Of Discourses On Professionalism In The “Sister Professions” Of Librarianship And Social Work In The United States, Rachel E. Trnka

Faculty Scholarship and Creative Works

In Whole Person Librarianship: A Social Work Approach to Patron Services (2019), Zettervall and Nienow aptly refer to librarianship and social work as ‘sister professions’, highlighting their gendered histories and similar professional values. Both librarianship and social work emerged as service-oriented, female-dominated professions in the late nineteenth century. Questions about professional identity have concerned librarians and social workers since those early days, with scholars and practitioners in both fields examining markers of professionalism, such as training, associations, and values. This article compares the historical development of professional social work and librarianship by tracing the changing discourses on professionalism, attending to …

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