Digital Commons Network^™

The Rage, Fall 2023, Brittany Davis, Luciano Castro

The Rage Zine

The Rage zine is published in collaboration with Students Advocating Gender Equality and CCU Women's and Gender Studies. Volume 2, Issue 1.

What Role Do Parents And Acculturation Play In Chinese Female International High School Students’ Mental Health?, You Wu

Doctoral Dissertations

This study examines the challenges and mental health issues faced by Chinese female international students in private Catholic female high schools in the U.S. It explores three main areas: the types of acculturation challenges students face, the impact of these challenges on their mental health, and the role of parental communication in shaping students' and parents' perceptions of acculturation and mental health. Using qualitative methods, the research involved interviews with nine students and five parents from a girls' Catholic high school in California. Data were collected via narrative-inspired Zoom interviews, and analyzed using phenomenological principles, focusing on understanding the lived …

Consistency Examination Of A Systematic Review And Data Analysis Report For A Social Justice Study—A Mixed Research Model, Zhidong Zhang, David Smith

Teaching and Learning Faculty Publications

This study aimed to investigate an approach for assessing the quality of doctoral dissertations, specifically focusing on the consistency between essential elements, namely the literature review and quantitative analysis results. To accomplish this, a mixed-methods design was employed.

The qualitative data were analyzed using semantic network and thematic analysis techniques, while the quantitative data were processed using SPSS procedures.

The study's findings demonstrated that this mixed-methods model effectively facilitates the examination of dissertation quality and consistency among key elements, such as the literature review and data analysis results. By integrating qualitative and quantitative approaches, researchers gain a comprehensive understanding of …

La Conciencia Crítica Empieza Temprano: Young Transborder Children’S Critical Conciousness Y Lo Que Implica Para Las Escuelas Primarias, Melissa Adams Corral, Sarah Gallo

Teaching and Learning Faculty Publications

Drawing upon investigaciones etnográficas with two sets of young transborder children viviendo y aprendiendo in México and the United States, en este artículo we draw upon decolonizing approaches to theorize critical consciousness formation for and with young children. Through careful attention to how children recognize inequity, critique it, and engage in a range of actions to counteract it, argumentamos que los niñes jóvenes ya están formando sus propios aspectos de la conciencia crítica. In our discussion, we highlight como esta forma auténtica de problem-posing education largely unfolds a través de dialogos con sus papas and call for pedagogies to engage …

Constraints And Affordances For Uk Doctors‐In‐Training To Exercise Agency: A Dialogical Analysis, Karen Mattick, Anna Goulding, Daniele Carrieri, Nicola Brennan, Bryan Burford, Gillian Vance, Tim Dornan

Peninsula Medical School

Introduction The goal of medical education is to develop clinicians who have sufficient agency (capacity to act) to practise effectively in clinical workplaces and to learn from work throughout their careers. Little research has focused on experiences of organisational structures and the role of these in constraining or affording agency. The aim of this study was to identify priorities for organisational change, by identifying and analysing key moments of agency described by doctors-in-training. Methods This was a secondary qualitative analysis of data from a large national mixed methods research programme, which examined the work and wellbeing of UK doctors-in-training. Using …

A Black-Box Attack On Code Models Via Representation Nearest Neighbor Search, Jie Zhang, Wei Ma, Qiang Hu, Shangqing Liu, Xiaofei Xie, Yves Le Traon, Yang Liu

Research Collection School Of Computing and Information Systems

Existing methods for generating adversarial code examples face several challenges: limted availability of substitute variables, high verification costs for these substitutes, and the creation of adversarial samples with noticeable perturbations. To address these concerns, our proposed approach, RNNS, uses a search seed based on historical attacks to find potential adversarial substitutes. Rather than directly using the discrete substitutes, they are mapped to a continuous vector space using a pre-trained variable name encoder. Based on the vector representation, RNNS predicts and selects better substitutes for attacks. We evaluated the performance of RNNS across six coding tasks encompassing three programming languages: Java, …

An Exhaustive Review Of Neutrosophic Logic In Addressing Image Processing Issues, Samia Mandour

Neutrosophic Systems with Applications

Since the importance of images in our lives and the advancements in computer data gathering methods, anyone can collect a large number of images, but most of them cannot be processed manually. Image processing therefore becomes appealing since various types of data may be represented and processed digitally. Image processing has become the most popular processing method, employed in security camera films, healthcare images, images from remote sensors, and naturalistic image/videos because of fast computers and processors. In order to raise cognitive function and speed up decision-making, image processing is crucial to many information access systems. Since ambiguity now permeates …

Emotional Health And Climate-Change-Related Stressor Extraction From Social Media: A Case Study Using Hurricane Harvey, Thanh Bui, Andrea Hannah, Sanjay Madria, Rosemary Nabaweesi, Eugene Levin, Michael Wilson, Long Nguyen

Computer Science Faculty Research & Creative Works

Climate change has led to a variety of disasters that have caused damage to infrastructure and the economy with societal impacts to human living. Understanding people's emotions and stressors during disaster times will enable preparation strategies for mitigating further consequences. in this paper, we mine emotions and stressors encountered by people and shared on Twitter during Hurricane Harvey in 2017 as a showcase. in this work, we acquired a dataset of tweets from Twitter on Hurricane Harvey from 20 August 2017 to 30 August 2017. the dataset consists of around 400,000 tweets and is available on Kaggle. Next, a BERT-Based …

Istikhdāmu Al-Bithāqāt At-Ta’Līmiyyah Fī Tarqiyati Al-Kafā`Ati Al-Mufradāt Ladai At-Thullābi Fī Madrasati Sabīlu At-Thayyib Pasuruan, Zia Haninatul Hidayah, Imam Asrori, Mohammad Ahsanuddin

Al-Arabi: Journal of Teaching Arabic as a Foreign Language

Vocabulary is one of the language elements that must be owned and mastered by foreign language learners, including Arabic. This requires teachers to be more creative in choosing and using vocabulary teaching media to achieve the best learning results.

Trend Of Arabic Language Use In Indonesian Brands: Onomastic Studies On Arabic Shop Names In Tulungagung, Mufti Rasyid

Al-Arabi: Journal of Teaching Arabic as a Foreign Language

The trend of naming brands in Indonesia is always changing from time to time. In the last decade, there has been a notable change from western language (English or Latin) to Arabic language such as Wardah, Safi, and Zoya. Not only national class brands

Exploring Self-Directed Learning Practices Of An Arabic Language Teacher: A Phenomenological Study To Enhance Teaching Quality, Aulia Mustika Ilmiani, Mahfuz Rizqi Mubarak, Soukaina Samdouni

Al-Arabi: Journal of Teaching Arabic as a Foreign Language

The reason for choosing this research stems from the researcher's interest in exploring the practice of an Arabic language teacher who conducts self-study, to improve the quality of learning that he does. The qualitative research method, using a phenom

Introduction To 15(5) Special Issue: Inhabiting The Otherwise In International Academia: Critiques, Complexities, Struggles, And Re-Existences, Juliana Zeggio Martinez, Roxana Chiappa, Jhuliane Evelyn Da Silva

Journal of Comparative & International Higher Education

No abstract provided.

Full Issue 15(5)

Journal of Comparative & International Higher Education

No abstract provided.

Llm4vis: Explainable Visualization Recommendation Using Chatgpt, Lei Wang, Songheng Zhang, Yun Wang, Ee-Peng Lim, Yong Wang

Research Collection School Of Computing and Information Systems

Data visualization is a powerful tool for exploring and communicating insights in various domains. To automate visualization choice for datasets, a task known as visualization recommendation has been proposed. Various machine-learning-based approaches have been developed for this purpose, but they often require a large corpus of dataset-visualization pairs for training and lack natural explanations for their results. To address this research gap, we propose LLM4Vis, a novel ChatGPT-based prompting approach to perform visualization recommendation and return human-like explanations using very few demonstration examples. Our approach involves feature description, demonstration example selection, explanation generation, demonstration example construction, and inference steps. To …

Large Language Model Is Not A Good Few-Shot Information Extractor, But A Good Reranker For Hard Samples!, Yubo Ma, Yixin Cao, Yongchin Hong, Aixin Sun

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have made remarkable strides in various tasks. However, whether they are competitive few-shot solvers for information extraction (IE) tasks and surpass fine-tuned small Pre-trained Language Models (SLMs) remains an open problem. This paper aims to provide a thorough answer to this problem, and moreover, to explore an approach towards effective and economical IE systems that combine the strengths of LLMs and SLMs. Through extensive experiments on nine datasets across four IE tasks, we show that LLMs are not effective few-shot information extractors in general, given their unsatisfactory performance in most settings and the high latency and …

Benchmarking Foundation Models With Language-Model-As-An-Examiner, Yushi Bai, Jiahao Ying, Yixin Cao, Xin Lv, Yuze He, Xiaozhi Wang, Jifan Yu, Kaisheng Zeng, Yijia Xiao, Haozhe Lyu, Jiayin Zhang, Juanzi Li, Lei Hou

Research Collection School Of Computing and Information Systems

Numerous benchmarks have been established to assess the performance of foundation models on open-ended question answering, which serves as a comprehensive test of a model’s ability to understand and generate language in a manner similar to humans. Most of these works focus on proposing new datasets, however, we see two main issues within previous benchmarking pipelines, namely testing leakage and evaluation automation. In this paper, we propose a novel benchmarking framework, Language-Model-as-an-Examiner, where the LM serves as a knowledgeable examiner that formulates questions based on its knowledge and evaluates responses in a reference-free manner. Our framework allows for effortless extensibility …

Knowledge Graph Enhanced Aspect-Based Sentiment Analysis Incorporating External Knowledge, Autumn Teo, Zhaoxia Wang, Haibo Pen, Budhitama Subagdja, Seng-Beng Ho, Boon Kiat Quek

Research Collection School Of Computing and Information Systems

Aspect-based sentiment analysis (ABSA) is a fine-grained task of sentiment analysis. To better comprehend long complicated sentences and obtain accurate aspect-specific information, linguistic and commonsense knowledge are generally required in this task. However, most current methods employ complicated and inefficient approaches to incorporate external knowledge, e.g., directly searching the graph nodes. Additionally, the complementarity between external knowledge and linguistic information has not been thoroughly studied. To this end, we propose a knowledge graph augmented network (KGAN), which aims to effectively incorporate external knowledge with explicitly syntactic and contextual information. In particular, KGAN captures the sentiment feature representations from multiple different …

Cross-Cultural Adaptation And Validation Of The Emirati Version Instrument That Assesses Cognition Problems Among The Uae Population: The Subjective Scale To Investigate Cognition - Emirates (Sstic-E), A Cross-Sectional Study, Fadwa Elgid Babikir

Dissertations

This dissertation focused on exploring the subjective complaints of cognition problems among the United Arab Emirates (UAE) population using a validated and adapted Arabic Emirati language version of a subjective scale that assesses cognition problems, -The Subjective Scale to Investigate Cognition - Emirates (SSTIC-E). Cognitive complaints and lack of cognitive insights are not specific to schizophrenia. It could be related to depression, mild cognitive impairment, dementia, or Alzheimer's. Hence, scales in this field can be very useful to assess and collect data for populations at risk of developing cognitive decline. The study aims to translate, adapt, and validate the SSTICS …

Large-Scale, Collaborative Imagery Survey In Archaeology: The Geospatial Platform For Andean Culture, History And Archaeology (Geopacha), Steven A. Wernke, Parker Van Valkenburgh, James Zimmer-Dauphinee, Bethany Whitlock, Giles Spence Morrow, Ryan Smith, Douglas Smit, Daniel Plekhov, Multiple Additional Authors

Anthropology Faculty Publications and Presentations

Imagery-based survey is capable of producing archaeological datasets that complement those collected through field-based survey methods, widening the scope of analysis beyond regions. The Geospatial Platform for Andean Culture, History and Archaeology (GeoPACHA) enables systematic registry of imagery survey data through a ‘federated’ approach. Using GeoPACHA, teams pursue problem-specific research questions through a common data schema and interface that allows for inter-project comparisons, analyses and syntheses. The authors present an overview of the platform's rationale and functionality, as well as a summary of results from the first survey campaign, which was carried out by six projects distributed across the central …

Knowledge Integration For Human-In-The-Loop Machine Learning, Ervine Zheng

Theses

Machine learning has evolved into advanced techniques for vision, language, and applications in different areas. However, human expertise is still essential in providing meaningful interpretations of the semantics for tasks in knowledge-rich domains, such as medicine, science, and security intelligence. It is beneficial to incorporate human knowledge into a machine learning system, and we consider human-in-the-loop an increasingly important area for future research. Human-in-the-loop machine learning aims to develop a reliable prediction model with minimal costs by integrating human knowledge and experience. In this thesis, we propose human-in-the-loop methods to address knowledge-rich data understanding challenges for different machine-learning tasks. Specifically, …

“It’S Like I’Ve Got This Music In My Mind”: Protecting Human Authorship In The Age Of Generative Artificial Intelligence, Justine Magowan

UC Law Journal

The music industry stands on the brink of a crisis. With unpredictable judicial standards that are inconsistent across the country, plaintiffs seeking to protect their musical works against copyright infringement face a heavy burden of proof, especially when facing defendants who are more wellknown and more well-funded. Not only that, but plaintiffs may not receive their day in court given that powerhouse artists like Taylor Swift, Sam Smith, and Bruno Mars have chosen to settle rather than defend their musical works in court. Now, Generative Artificial Intelligence (“Generative A.I.”) and A.I.-generated music will inevitably send the music industry into a …

An Exploration Of Two Information Literacy Open Learning Object Repositories: Value, Content, And Engagement, Tiffanie Lynn Ford-Baxter

Communications in Information Literacy

Information literacy (IL) open learning object repositories (LORs) provide a space for librarians to find and exchange instruction resources and lessons. Given many librarians enter the workforce with little or no formal training or educational opportunities to learn about pedagogy, these repositories are indispensable resources to the Library and Information Science field. This study explored the contents of two popular IL LORs, Project Cora and the Association of College and Research Libraries Framework for Information Literacy Sandbox, to uncover how users engage with the resources and how the repositories differ. This study's findings suggest that while resources within the LORs …

The Impact Of Language And Culture On Productivity: A Recommendation To Implement An Innovative Spanish Language Track, Jordan J. Price

Construction Management

Productivity is a popular focus of construction research because of its efforts to overcome a multitude of project related challenges. This research explores the intersection of language barriers, cultural differences, and productivity in the construction industry with a focus on the impact of bilingual management. It evaluates the impact of these factors on productivity and its beneficial relationship to multilingual management on diverse construction crews. The impending retirement of 40% of the construction labor force calls for proactive initiatives to manage the demographic shift shown by the growing composition of Hispanics in the workforce. The influence of language barriers on …

Teachers’ Voices On Multimodal Input For Second Or Foreign Language Learning, Mónica Stella Cárdenas-Claros, Tetyana Sydorenko, Elizabeth Huntley, Maribel Montero Perez

Applied Linguistics Faculty Publications and Presentations

Multimodal input – which combines written, auditory, and/or visual modalities – is pervasive in everyday life and could serve as a source of rich input in language teaching. In recent years, research has determined that vocabulary learning is one of the clear benefits of being exposed to such input. Regrettably, only a handful of studies have investigated whether and how second language (L2) teachers approach multimodal input in teaching. To further contribute to the research–practice dialogue, we examined factors that influence L2 teachers’ use of multimodal input in L2 teaching. This qualitative case study presents an in-depth analysis of interview …

Just Adjust One Prompt: Enhancing In-Context Dialogue Scoring Via Constructing The Optimal Subgraph Of Demonstrations And Prompts, Jiashu Pu, Ling Cheng, Lu Fan, Tangjie Lv, Rongsheng Zhang

Research Collection School Of Computing and Information Systems

The use of modern Large Language Models (LLMs) as chatbots still has some problems such as hallucinations and lack of empathy. Identifying these issues can help improve chatbot performance. The community has been continually iterating on reference-free dialogue evaluation methods based on large language models (LLMs) that can be readily applied. However, many of these LLM-based metrics require selecting specific datasets and developing specialized training tasks for different evaluation dimensions (e.g., coherence, informative). The developing step can be time-consuming and may need to be repeated for new evaluation dimensions. To enable efficient and flexible adaptation to diverse needs of dialogue …

Do Contributing Files Provide Information About Oss Newcomers' Onboarding Barriers?, Felipe Fronchetti, David Shepherd, Igor Wiese, Christoph Treude, Marco Gerosa, Igor Steinmacher

Research Collection School Of Computing and Information Systems

Effectively onboarding newcomers is essential for the success of open source projects. These projects often provide onboarding guidelines in their ‘CONTRIBUTING’ files (e.g., CONTRIBUTING.md on GitHub). These files explain, for example, how to find open tasks, implement solutions, and submit code for review. However, these files often do not follow a standard structure, can be too large, and miss barriers commonly found by newcomers. In this paper, we propose an automated approach to parse these CONTRIBUTING files and assess how they address onboarding barriers. We manually classified a sample of files according to a model of onboarding barriers from the …

Cue-Cot: Chain-Of-Thought Prompting For Responding To In-Depth Dialogue Questions With Llms, Hongru Wang, Rui Wang, Fei Mi, Yang Deng, Zezhong Wang, Bin Liang, Ruifeng Xu, Kam-Fai Wong

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs), such as ChatGPT, greatly empower dialogue systems with strong language understanding and generation capabilities. However, most of the previous works prompt the LLMs to directly generate a response based on the dialogue context, overlooking the underlying linguistic cues about the user status exhibited in the context. Such in-depth dialogue scenarios are challenging for existing LLMs to figure out the user’s hidden needs and respond satisfactorily through a single-step inference. To this end, we propose a novel linguistic cue-based chain-of-thoughts (Cue-CoT), which enhances the LLMs inference with an intermediate reasoning step to find cues exhibited in the …

Duties For Datasets, Jerrold Tsin Howe Soh

Research Collection Yong Pung How School Of Law

Machine learning (ML) systems are increasingly being deployed in contexts, such as law, medicine and finance, where system errors present serious and foreseeable risks. As ML system behaviour is largely determined by their training inputs, should dataset providers owe duties of care to victims? Using the ImageNet dataset and the Generative Pre-trained Transformer (GPT) models as case studies, this chapter argues that the conventional approach of centralising duties on system providers alone yields insufficient safeguards. Dataset-specific duties should also be considered to incentivise precaution in the preparation of crucial ML input. The chapter analyses how dataset duties may be encompassed …

Virtue-Driven Leadership: Powering Excellence In Organizations, Joseph Scherrer

Arts & Sciences Graduate Student Theses and Dissertations

In this thesis, I seek to answer the question “What makes a good leader?” I approach this question systematically, starting in Chapter 1 by asking “What is Leadership?” In attempting to formulate a response, I find that the concept is slipperier than it first appears and difficult to pin down. All the same, I construct a thematic, contextually pertinent definition that provides reasonable precision for the purposes of this study. In Chapter 2, I present a representative survey of the social-scientific academic literature in order to establish the prospect that a philosophy of virtuous leadership can be empirically validated in …

How Prefixation, Onset Length, And Coda Length Determine Lexical Stress Assignment When Reading Aloud, Kayla Hensley

Arts & Sciences Graduate Student Theses and Dissertations

Lexical stress, or which syllable is emphasized in a multisyllabic word, can provide important cues for speech segmentation, lexical class, and reading acquisition. Despite this, much of the literature on reading has focused on single syllable words, neglecting the role that stress can play. In this project, I examine the role of prefixation, onset and coda length in assigning stress in disyllabic words when reading aloud. Study 1 is a corpus analysis of English words with grade level information to replicate the model developed by Treiman et al. 2020 and check for age differences. There were no significant differences on …