Digital Commons Network^™

Pedagogical Escapism And Western Performativity: A Psycho-Aesthetic Critique Of Belly-Dance Adaption Symbolics, Maryam Farahani

Comparative Woman

This paper addresses positionality misreading in Western pedagogical adaptions of belly dancing. Raqs Sharqi, known in the West as belly dancing, is a predominantly West Asian and North African discipline and performance art with multimodal varieties, globally taught and practiced while crossing sport, narratology, and story-telling boundaries. As a unique performance activity, it portrays a dynamic entertainment space to connect one’s multiple identities. I argue that Raqs Sharqi, not only as an aesthetic-educational art form but also, perhaps unwittingly, reiterated as an Orientalist communication trope in belly dancing, has forged East-West performativity models. However, the historical education-literature for Western women …

From Sensibility To Critical Engagement: Sympathy, Animality, And Subjecthood In Wollstonecraft’S Maria And Vindication, Yingnan Shang

Comparative Woman

This paper examines Mary Wollstonecraft’s strategic use of sentimental animal tropes alongside rationalist critique in Maria, or The Wrongs of Woman (1798) and A Vindication of the Rights of Woman (1792), arguing that she mobilizes sensibility not as an end in itself, but as a pedagogical instrument within a broader project of aesthetic education—one intended to move readers from affective sympathy toward political and philosophical judgment. Focusing in particular on animal metaphors—especially in the character of Jemima, who repeatedly figures herself as a domesticated and brutalized creature—I trace how Wollstonecraft employs tropes of animality to illuminate the processes by which …

Sweat And Subjectivity Copyright Impulses, Danny Friedmann

Fordham Intellectual Property, Media and Entertainment Law Journal

Generative artificial intelligence (gAI) is generating vast vol- umes of content, including visual art with minimal human effort that competes directly with visual artists and threatens to dilute human culture in the process. In response, courts and copyright offices are quietly reintroducing two doctrines long considered incompatible with modern copyright: sweat of the brow, which rewards labor over originality, and aesthetic discrimination, which risks conditioning protection on perceived merit.

This article is the first to demonstrate how legal authorities are reintroducing these discredited doctrines under the guise of regulating AI-assisted outputs, thereby eroding the set of copyright doctrines accepted by …

Perceptions Of Academic Success Among African American Male High School Graduates In Urban Areas, Anthony Bourne

Walden Dissertations and Doctoral Studies

African American males encounter more severe penalties, academic under-performance, and lower graduation rates compared to their Caucasian male counterparts. Numerous studies have delved into and elucidated the schooling experiences of African American male students from various perspectives, encompassing cultural, structural, racial, community, family, and school viewpoints. However, there remains a scarcity of voices documenting the experiences of African American males who have successfully completed high school in urban settings. The purpose of this descriptive qualitative study was to examine the schooling experiences of African American males who graduated from high schools located in urban settings. The Critical Race Theory and …

All Bets Are On: Addiction, Prediction, Regulation, And The Future Of Financial Gambling, Sharon Rabinovitz, Nizan G. Packin

Fordham Intellectual Property, Media and Entertainment Law Journal

This Article challenges traditional financial regulation by exploring how prediction markets—initially developed as sophisticated tools for collective forecasting—increasingly resemble gambling venues. These platforms, once designed to harness crowd wisdom, have transformed into high-stakes ecosystems where engage- ment-driven features blur the boundary between forecasting and betting. This evolution presents a dual challenge: on one hand, certain platforms, including regulated ones, offer innovative avenues for price discovery and risk hedging; on the other, their gamblified design exposes users to significant behavioral and financial risks.

Through comprehensive empirical analysis of gamblification and self-determination manipulation across five prediction market interfaces, this Article demonstrates how …

Where Did All The Genericide Cases Go? And Should They Be Gone For Good?, Daniela Camacho

Fordham Intellectual Property, Media and Entertainment Law Journal

Trademarks are all around us. It would be difficult to go an entire day without encountering a trademark—In fact, three-fourths of the words we use in our day-to-day conversations have been claimed as trademarks by various companies for various products. Often, we don’t even recognize all the marks we come across as trademarks. Words such as “aspirin,” “escalator,” and “trampoline” were all once trademarks. Over time, these words began to signify the product more than the producer; Because the marks could no longer identify the product’s source as trademarks are supposed to, the marks suffered “genericide” and were cancelled.

In …

Co-Creating Assessments With Colleague Ai, Virak Chan, Chen Li, Wayne E. Wright

Purdue AI in P-12 Education Conference

This study examines the experiences of in-service teachers in a graduate-level online 4-week English language learning (ELL) licensure course—Assessment of Culturally and Linguistically Diverse Students—in Summer 2025. The key assignment required co-creating formative assessment tools with Colleague AI, an AI-powered assistant for teachers to streamline lesson planning, formative assessment and other classroom tasks (https://www.colleague.ai). Specifically, this study explored how these educators leveraged AI capabilities while applying their professional learning and judgment to ensure fairness, validity, and cultural responsiveness when developing formative assessments for multilingual learners.

Efficient Multimodal Streaming Recommendation Via Expandable Side Mixture-Of-Experts, Yunke Qu, Liang Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin

Research outputs 2022 to 2026

Streaming recommender systems (SRSs) are widely deployed in real-world applications, where user interests shift and new items arrive over time. As a result, effectively capturing users' latest preferences is challenging, as interactions reflecting recent interests are limited and new items often lack sufficient feedback. A common solution is to enrich item representations using multimodal encoders (e.g., BERT or ViT) to extract visual and textual features. However, these encoders are pretrained on general-purpose tasks: they are not tailored to user preference modeling, and they overlook the fact that user tastes toward modality-specific features such as visual styles and textual tones can …

Spanish Teaching Materials: An Investigative Study Into The Adherence To Best Practices In Second Language Pedagogy, José Rafael Quiñones

Electronic Theses and Dissertations 2020 - Present

This study investigates the design of five popular Spanish language textbooks used in university-level Spanish language courses in the U.S.; Portales 2.0, ¡Arriba!, Contraseña, Dicho y Hecho, and Trayectorias. It replicates Fernández (2011), DeMil & Aubrey (2013), and White & Farinelli (2015) by applying similar assessment criteria to leading beginning Spanish language textbooks, but with revised criteria for contemporary pedagogical and technological advancements. This study focused on print textbooks or eBook versions of textbooks provided by online learning platforms. Online activities were not analyzed.

Research suggests language textbooks should follow best practices in language acquisition …

Proactllm: Proactive Conversational Information Seeking With Large Language Models, Shubham Chatterjee, Xi Wang, Shuo Zhang, Sajad Ebrahimi, Zhaochun Ren, Debasis Ganguly, Gareth Jones, Emine Arrousse, Hamed Zamani

Computer Science Faculty Research & Creative Works

Large Language Models (LLMs) have transformed information access by enabling human-like text understanding and generation. This workshop explores the next step for conversational AI: building proactive information-seeking assistants that go beyond reactive question answering. We aim to investigate how LLMs can anticipate user needs, model complex context, support mixed-initiative interactions, integrate retrieval and external tools, personalize responses, adapt through feedback, and ensure fairness, transparency, and cognitive grounding. Bringing together experts from NLP, IR, HCI, and cognitive science, the workshop will serve as a timely forum for advancing intelligent, proactive dialogue systems. It will also foster interdisciplinary collaboration.

The Correlation Of Students’ Grit To Their Achievement At Stkip Muhammadiyah Of Southwest Aceh, Ainain Tajriani, Sukri Adani

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

The grit theory emphasizes that persistence and passion for pursuing long-term goals are more important for success than innate talent alone. The purpose of this research was to assess students' grit levels and examine how they relate to academic performance. The study employed a quantitative correlational design to systematically measure numerical data, which helps identify patterns and relationships among various influencing factors. Participants included 136 students (75 English students and 61 Mathematics students). The research process involved: 1) collecting data via a questionnaire, 2) cleaning the data to remove outliers, 3) analyzing the data with SPSS, and 4) interpreting the …

E-Pocket Book Of Angiosperms Diversity Of Ghimbo Pomuan Sacred Forest To Improve Students’ Species Literacy And Plant Awareness, Hikmah Hidayah, Siti Zubaidah, Frida Kunti Setiowati

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

Students' low species literacy and limited awareness of plant diversity highlight the need for contextualised learning media based on local plant resources. This study aims to develop, assess the feasibility, and evaluate the effectiveness of an e-pocket book on Angiospermae diversity in Ghimbo Pomuan Sacred Forest, Kampar, Riau, Indonesia, as an innovative learning tool for higher education. This e-pocket book was developed using the Lee & Owens multimedia development model, which includes the stages of analysis, design, development, implementation, and evaluation. The feasibility test results showed that this e-pocket book was rated as very valid with an average score of …

Fostering Student Enthusiasm In Ecoprint Pounding As An Environment-Based Learning Technique, Livia Sugiastutih, Arina Restian, Kuncahyono Kuncahyono

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

The lack of learning interest and environmental awareness among students poses a particular challenge in the school learning process. This study introduces ecoprint pounding as an alternative environment-based learning medium that is not only educational, but also enjoyable and contextual. The research employed a descriptive qualitative approach with a participatory method. The research subjects were elementary school students who were directly involved in the ecoprint-making process, starting from selecting leaves to printing patterns on fabric using the pounding technique. The findings indicate that this activity was effective in increasing students’ enthusiasm and engagement in learning. Additionally, students appeared more creative, …

Development Of Arabic-Indonesian Android Dictionary For Madrasah Aliyah Students, Muhammad Fakhry Ramadhani, Nurul Murtadho, Irhamni Irhamni, Muhd Zulkifli Ismail

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

Corpus linguistics plays an important role in studying Arabic because it can collect Arabic data from various sources and analyse them comprehensively. This research aims to develop Arabic learning media in the form of an Arabic-Indonesian Android dictionary based on corpus linguistics for high school students that is valid and practical. The development model used is the development model of Richey & Klein. The results showed that the learning media of the Arabic-Indonesian dictionary based on corpus linguistics integrated Android application is valid and practical to be used in learning. The findings of this study not only underline the potential …

Peningkatan Keterampilan 4c Siswa Melalui Pengembangan Kompetensi Guru Dalam Kurikulum Merdeka, Agustinus Tanggu Daga, Lasarus Bulu Kaleka, Fransiskus Ghuni Bili

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

Teachers are figures that can influence student learning outcomes. A serious problem faced by elementary school students in Tambolaka CitySouthwest Sumbais the low 21st century skills of students. One of the smart efforts to improve students' 21st century skills is to improve teacher competence. The purpose of this study is to describethe relationshipof teacher competence with improving 4C skills of elementary school students. The method used was a survey with a questionnaire instrument. Data analysis used description analysis and correlation analysis. This study found that (1) teacher competence and student skills are moderate, (2) there is a significant relationship between …

The Production Of Word-Initial Consonant Clusters In A Saudi Southern Dialect (Ssd): Evidence From Al-Baha Region, Alhassan Abdullah Jarullah Alzahrani

UB Journal for Humanities

This study investigates how speakers of the Al-Baha variety of the Saudi Southern Dialect (SSD)—a regional Arabic variety that prohibits word-initial consonant clusters—produce English onset clusters. While Arabic learners of English are known to simplify clusters through vowel epenthesis, little is known about how dialect, sonority, and proficiency shape these strategies. To address this gap, 30 SSD-speaking learners of English were recorded producing target words containing both /sC/ clusters (which violate the Sonority Sequencing Principle, SSP) and SSP-conforming clusters. Acoustic analysis with Praat showed that vowel epenthesis was the primary repair strategy, though its placement differed: /sC/ clusters were typically …

Predicting The Next Trending Hussaini Poems: A Machine Learning Approach Based On Textual And Engagement Features, Elaf Adel Abbas

AUIQ Technical Engineering Science

Hussaini’s poem videos have garnered substantial viewership on digital platforms; nevertheless, the determinants of why just a select number achieve “trending” status remain inadequately comprehended. This study presents a machine learning approach aimed at forecasting the trending potential of Hussaini poetry videos through the integration of text- and interaction-based variables. A dataset including 270 YouTube videos was generated, encompassing each video’s title and audience engagement parameters, including views, likes, comments, duration, and upload time. Textual attributes were converted using TF-IDF representations, whereas numerical attributes were standardized and amalgamated via a unified ColumnTransformer pipeline. Five machine learning classifiers—Naive Bayes, Logistic Regression, …

Comprehensive Risk Evaluation Framework For Reducing Errors In Critical Airport Systems, Arshad Hameed, Muhammad Umer Farooq

Neutrosophic Systems with Applications

Airports are intricate systems that are subject to a number of operational hazards that might impair safety and cause service interruptions. There is a dearth of thorough approaches designed specifically for airport operations, despite a wealth of research on risk management in several industries. In order to anticipate and prevent breakdowns in vital airport systems, we offer a thorough risk assessment approach that combines quantitative evaluation and human factor analysis. This study uses the decision-making methodology such as MARCOS method to rank the alternatives. The criteria weights are computed in this study. This study uses six criteria and 14 alternatives.

Evaluating Solar Energy Challenges And Strategies To Overcome Challenges Under Neutrosophic Decision Making Methodology, Ahmed A El-Douh, Mina Samir Shenouda

Neutrosophic Systems with Applications

Because of its reliance on fossil fuels and fast population expansion, the nation confronts severe socioeconomic problems that can result in political instability, environmental damage, health issues, and economic instability. A switch to clean energy is now necessary as a result of these problems widening the gap between supply and demand for energy. To close this gap, photovoltaic (PV) technology holds great potential. In order to reduce bias and handle ambiguity while assessing solar energy (SE) issues and regulations, this study offers a decision-making process in a single valued neutrosophic set (SVNS) environment. The neutrosophic set is used to overcome …

Mandatory Public Defense, Sanders Platt

Kentucky Law Journal

No abstract provided.

Truth Comes Before Reconciliation: An Exercise In American Truth-Telling, Hannah Fidler

Nebraska Journal on Advancing Justice

No abstract provided.

The Racial Wealth Gap Is A Racial Health Gap, Aurora J. Grutman

Kentucky Law Journal

No abstract provided.

‘Reflective Learning’ – Teaching The South African Military Academy Way, Jean Pierre Scherman Dr

Journal of Peace, Conflict, and Security Studies

Professional military education for young officers within the South African National Defence Force (SANDF) has since 1950 been vested within the South African Military Academy (SAMA), Faculty of Military Science, Stellenbosch University. As an all services academy, the SAMA houses student from all four arms of service that constitute the SANDF, namely the South African Army, Navy, Air Force and Medical Health Services. With such a vastly different student body, the five schools within the SAMA correspondingly cover an extremely varied field of study ranging from military law and military management to military psychology all the way to more traditional …

Modernizing Military Education In Kosovo: From Theory To Practice Through Innovation And Technology, Linda Ziberi, Dardan Syla

Journal of Peace, Conflict, and Security Studies

This paper examines the need for Kosovo's Military Academy (KMA) to modernize its education system, particularly its necessity to transition from a theory-based methodology to more modern and innovative teaching and training approaches that incorporate advanced technology. Despite ongoing institutional development, the Kosovo Military Academy continues to rely on traditional teaching methods, which limits its capacity to prepare cadets for the demands of modern military operations. Barriers such as limited funding, outdated infrastructure, and resistance to pedagogical change further complicate efforts to modernize.

To address these challenges, the paper advocates for the adoption of modern, learner-centered strategies, including Simulation and …

What Is The Point Of Reading War Literature In The Military Academy: Reflection Of Contemporary Warfare Through The Siege Motif In Serhiy Zhadan’S How Fire Descends: New And Selected Poems, Dong-Ha Seo

Journal of Peace, Conflict, and Security Studies

This study argues that war poetry, when critically read in military education, enables cadets to engage with the ethical, psychological, and human dimensions of war. Rather than serving as propaganda or glorification of battle, war poetry voices the unspoken suffering of soldiers and civilians and preserves the memory of trauma. Drawing on Nil Santiáñez’s recent work on the symbiosis between war and language, this article situates war writing as a space where questions of knowledge, ethics, and survival are inevitably confronted. In particular, the works of Serhiy Zhadan and Cho Ji-hoon demonstrate how poetry transforms urban conflict into a record …

Executive Summary: Quality Improvement Initiative Enhancing Early Identification Of Adolescent Depression And Anxiety, Delphine Sirri

Walden Dissertations and Doctoral Studies

Universal staff training to increase the validity and reliability of adolescent mental health screening was implemented in this quality improvement (QI) initiative. Depression and anxiety disorders often emerge between ages 12 and 17, yet evidence-based screening measures such as the Patient Health Questionnaire (PHQ-9/PHQ-9M) and Generalized Anxiety Disorder (GAD-7) are underutilized due to provider knowledge gaps, workflow inefficiencies, and cultural barriers. Guided by the Johns Hopkins Nursing Evidence-Based Practice (JHNEBP) model, the project evaluated whether structured staff education improved early identification and diagnosis of adolescent depression and anxiety compared to routine practice. In workshops, web-based learning modules, case simulations, and …

Artificial Intelligence (Ai) In Pharmaceutical Formulation And Dosage Calculations., Sameer Joshi, Sandeep Sheth

PCOM Scholarly Works

Artificial intelligence (AI) is reforming pharmaceutical sciences by renovating traditional drug formulation and dosage calculation approaches. This review provides a comprehensive overview of how AI technologies, such as machine learning (ML), deep learning (DL), and natural language processing (NLP), are currently being used in pharmaceutical calculations to improve accuracy, efficiency, and personalization. We have explored the role of AI in predicting drug properties, excipient optimization, and formulation design, as well as its applications in pharmacokinetic/pharmacodynamic (PK/PD) modeling, real-time dose adjustment, and precision medicine. Despite significant progress, data quality, interpretability, regulatory acceptance, and ethical considerations persist. Therefore, this review examines the …

Development Of An Evidence-Based Clinical Practice Guideline For A Comprehensive Care Partner Program For Postpartum Women, Abibat Yusuff

Walden Dissertations and Doctoral Studies

This doctoral project focuses on the development of a clinical practice guideline (CPG) aimed at addressing a critical gap in postpartum care, particularly postpartum depression (PPD), inconsistent follow-up, and low breastfeeding continuation rates, which disproportionately affect African American women and other underserved populations. These gaps contribute to preventable morbidity, poor maternal experiences, and health inequities, making this issue a priority for nursing and public health. The guiding practice-focused question asked if an interdisciplinary team would achieve consensus on a clinical practice guideline for the development of a comprehensive care partner program for postpartum women. Analytical strategies included a systematic evidence …

An Analysis Of Large Language Model Hallucination And Creativity: Linear Representations And Causal Roles, Mckay Bowcut

Theses and Dissertations

Large language models (LLMs) show remarkable abilities in both factual and creative tasks, yet the problem of hallucination persists despite advances in training and post-training methods. Recent progress in model interpretability suggests that model behavior can be predicted and influenced by analyzing and manipulating internal activations. In this thesis, we address three questions: (1) Can we identify linear representations of hallucination and creativity in the model’s latent space? (2) Do these representations play a causal role in model behavior when manipulated? (3) Are creativity and hallucination causally intertwined? To answer these, we construct a novel dataset of factual, hallucinated, and …

Standardizing And Scaffolding Health Care Ai-Chatbot Evaluation: Systematic Review., Yining Hua, Winna Xia, David Bates, George Hartstein, Hyungjin Tom Kim, Michael Li, Benjamin Nelson, Charles Stromeyer Iv, Darlene King, Jina Suh, Li Zhou, John Torous

Department of Psychiatry and Human Behavior Faculty Papers

BACKGROUND: Health care chatbots are rapidly proliferating, while generative artificial intelligence (AI) outpaces existing evaluation standards.

OBJECTIVE: We aimed to develop a structured, stakeholder-informed framework to standardize evaluation of health care chatbots.

METHODS: PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses)-guided searches across multiple databases identified 266 records; 152 were screened, 21 full texts were assessed, and 11 frameworks were included. We extracted 356 questions (refined to 271 by deduplication and relevance review), mapped items to Coalition for Health AI constructs, and organized them with iterative input from clinicians, patients, developers, epidemiologists, and policymakers.

RESULTS: We developed the Health …