Digital Commons Network^™

Decision-Making Skill As A Mediating Variable In The Relationship Between Organizational Loyalty And Change Leadership- A Proposed Model Among School Principals In Ramallah And Al-Bireh Governorate, Fatma Ishtaya, Mohammed Ahmad Shaheen

An-Najah University Journal for Research - B (Humanities)

Objectives: The study aims to reveal the relationship between organizational loyalty and change leadership among school principals in Ramallah and Al-Bireh Governorate considering decision-making skill as a mediating variable. Methodology: The study uses the descriptive, correlational approach, where the study population represented school principals in Ramallah and Al-Bireh Governorate, who numbered 306 male and female principals. The study sample was chosen by a stratified random method, and its size was 171 Principals. Results: The results show that the average for organizational loyalty among school principals in Ramallah and Al-Bireh Governorate reached (3.74), with a high level, while the average for …

A Meta-Analysis Of Technology Usage In Word Problem Solving Interventions For Elementary Students: An Application Of The Samr Model, Joelle Prate, Jennifer E. Kong, Lamiya Hoque, Trisha Sugita, Tanya Belom

Education Faculty Articles and Research

This meta-analysis assessed the effect of the usage of technology in math interventions on the math achievement of students in kindergarten to the fifth grade. The SAMR (Substitution, Augmentation, Modification, Redefinition) (Puentedura, 2006) model was applied to evaluate the degree of technology integration within the math intervention. Twelve group studies met the criteria for inclusion in this meta-analysis. Overall, technology interventions yielded a significant positive effect on the math achievement of elementary-aged students with learning disabilities (LD) (ES = 1.34). While no significant differences in effect sizes were found by function of the SAMR model, the studies that utilize technology …

Bridging The Knowledge Gap: Professional Development Connecting Educators And Caregivers Of Multilingual Learners, Mihaela Gazioglu, Emily Howell, Rebecca Kaminski, Victoria Pennington, Nicole Ferguson-Sams, Kavita Mittapalli, Amlan Banerjee

Publications

Purpose – The purpose of this paper is to examine the professional growth of a cohort of teachers working with multilingual learners (MLs) during an MEd program and their recommendations for the development of a literacy course for ML caregivers. In addition, this study explores whether the school district capacity supports teacher growth, as reflected through district representatives’ feedback.

Design/methodology/approach – This design-based research study, informed by the culturally relevant pedagogy and dual capacity building frameworks, explores 30 in-service K-12 teachers and 11 district representatives. Data were collected through semestrial surveys and research logs over two years using mixed methods. …

From Awareness To Action: Caregivers’ Roles In Multilingual Learners’ Literacy Development, Mihaela Gazioglu, Lindsey W. Rowe, Emily Howell, Victoria Pennington, Nicole Ferguson-Sams, Kavita Mittapalli, Amlan Banerjee

Publications

This design-based research study, grounded in the theoretical framework of dual capacity building, explored the impact of a literacy course on multilingual learners’ caregivers, focusing on their knowledge and self-efficacy in supporting their children’s literacy development. Findings revealed a collaborative process between caregivers and researchers, where caregivers contributed insights into their learning needs and influenced the course’s development and implementation. At the end of the course, caregivers’ average self-efficacy score showed a statistically significant 21% increase, while their knowledge ratings increased by 15%. Beyond academic support, the course significantly increased caregivers’ confidence in navigating school systems, understanding school procedures, and …

If You Were A Sesame Street Character, Which One Would You Be? Natural Language Processing And Personality With Big Bird And Friends, Joseph Uran Meyer

Doctoral Dissertations

This paper examined and compared several natural language processing and machine learning techniques in predicting self-reported Big Five personality traits from text responses. The models were validated on the open-source 2019 SIOP Machine Learning Competition dataset (N = 1,689). The techniques evaluated included bag-of-words, Empath dictionary, LSTM networks, fine-tuning Transformer models, and stacked generalization. Results indicated that the present study’s models had lower error in four of the five constructs analyzed. Limitations of the study include use of an MTurk sample and small sample size. Future research should explore similar techniques on larger applicant samples. Practical implications and contributions to …

Multilingual Learners' Digital Book Composing: Examining Circulation Of Translingual, Multimodal Resources In An Elementary Classroom, Lindsey W. Rowe, Victoria Pennington

Publications

Multilingual learners (MLs) often attend English-medium schools in the U.S. An important area of research is understanding how teachers can support MLs’ literacy practices, such as translingual composing, in these contexts. This paper draws on theories of translanguaging and multimodality to explore the semiotic choices of second graders as they engaged in digital book composing following instruction that invited translanguaging. Specifically, we ask: 1) What multimodal, translingual resources did students initially deploy when invited to use their full semiotic (including linguistic) resources to compose texts? And 2) How were these semiotic resources used across time, resulting in students’ creation of …

Integrating Three-Dimensional Mentoring With Workforce Development Training: A Collaborative Autoethnographic Examination Of Skill Transfer, Danny L. Darden, Ramiro Pesina

Human Resource Development Student Publications and Presentations

The increasing demand for skilled professionals in technical fields necessitates innovative educational approaches that integrate skill development with effective mentoring frameworks. This paper presents an autoethnographic analysis of skill transfer within workforce development environments, emphasizing a three-dimensional mentoring model encompassing cognitive, emotional, and behavioral mentoring dimensions. The study examines applications in command-line learning, gamified instruction, and safety training within virtual environments. The research highlights best practices in mentoring sustainability, the role of technology in reinforcing skill acquisition, and the ways in which learning-community engagement enhances workforce readiness. Additionally, this study integrates research on student engagement, community experiences, and retention strategies, …

Social Contracts: The State Convention Drafting History Of The Lockean Natural Rights Guarantees, Anthony B. Sanders

UMKC Law Review

No abstract provided.

Tekotok’S Digital Satire And Public Sentiment In Response To The Realities Of Work In Indonesia, Ahmad Farid Fanani

Jurnal Politik

Inequities within Indonesia's labor system remain a prominent issue, particularly in terms of fair access and protection for all segments of the workforce. As digital media continues to evolve, critiques of labor policy are increasingly expressed through new mediums, including satirical animations. This study aims to explore how the satirical animated videos from the YouTube channel Tekotok represent critiques of labor policy using Critical Discourse Analysis (CDA) and public sentiment analysis. A mixed-methods approach is employed, combining Fairclough’s three-dimensional model for narrative analysis with the IndoBERT model to classify sentiment in 875 YouTube comments. The results demonstrate that Tekotok’s animations …

Nursing News & Views - March 2025, Brenda Rocha Rn, Cno

Nursing Newsletters

Nursing News & Views Newsletter - March 2025

The History Matters: Fighting For Equal Education In Lowell, Massachusetts, 1970-1990, Robert Forrant, Chandaranee Khoeun, Chrisna Khuon

Institute for Asian American Studies Publications

This is a story about Southeast Asian and Latino parents in Lowell, MA who confronted the Lowell School Committee in the late 1970s and 1980s, demanding that schools be desegregated and that their children have equal educational opportunities. While the school struggle unfolded, acts of anti-Asian and anti-Latino violence were perpetrated in Greater Boston and around the country, including the tragic death of Vandy Phorng, a 13-year-old Cambodian American in 1987. Following his death, the federal lawsuit that Southeast Asian and Latino parents had filed moved through the federal court for two years before the city settled. However, further racism …

Less Screen, More Talk: Educating Parents In Supporting Language Development In Toddlers, Lorraine M. Mata

Cohort XIII

Excessive screentime has been linked to language development delays in children aged 18 to 36 months correlating with reduced parent-child verbal interactions, and ultimately a crucial factor in early language acquisition. This quality improvement project, Less Screen, More Talk: Educating Parents to Support Language Development in Toddlers, aimed to reduce screen exposure and promote verbal engagement between caregivers and young children. Implemented over six weeks in a private pediatric clinic, the intervention included parental education, structured follow-ups, and practical resources designed to encourage language-rich interactions.

Results were striking as parents reported a significant decrease in daily screen time and observed …

Universal Dependencies For Amahuaca, Candy Angulo, Pilar Valenzuela, Roberto Zariquiey

World Languages and Cultures Faculty Articles and Research

This paper presents the creation of a Universal Dependency (UD) treebank for Amahuaca (Peru), marking the first UD treebank within the Headwaters subbranch of the Panoan family, spoken mostly in Peru and Brazil. While the UD guidelines provided a general framework for our annotations, language-specific decisions were necessary due to the rich morphology of the Amahuaca language. The paper also describes specific constructions to initiate a discussion on several general UD annotation guidelines, particularly those concerning clitics and morpheme-level dependencies.

Language, Literature, And Culture Newsletter, Sixth Edition (March 2025), Language, Literature, And Culture Department, Clark University

Language, Literature, and Culture

The sixth issue of the Language, Literature, and Culture department newsletter, which went out in March 2025. The Language, Literature, and Culture department newsletter aims to "share stories, news, ideas, achievements, and important information about and within our academic department that can be helpful to the campus community at large".

Attention To Market Expansion: Aspirational Antecedent And Risk-Taking Consequence, Renfei Gao, Man Zhang, Xiaogang He, Zhengyu Li

Research Collection Lee Kong Chian School Of Business

The behavioral theory of the firm (BTOF) emphasizes the goal-directed logic in explaining firms’ risk-taking.Scholars in this tradition typically conceptualize how performance feedback indicates problems and triggers risk-taking behaviors. Yet, the theory remains underdeveloped in understanding decision-makers’ attention to forward-looking goals, such as market expansion, and its impact on firm risk-taking. In this study, we theorize performance feedback as an antecedent to decision-makers’ attention to forward-looking goals, and firm risktaking as a consequence of such attention. Focusing on market expansion as a critical forward-looking goal, we first theorize how performance feedback influences decision-makers’ attention to market expansion. Then, we examine …

March 2025 News Releases, University Of Montana--Missoula. Office Of University Relations

University of Montana News Releases, 1928, 1956-present

No abstract provided.

Overloading The 1% “Circuit Breaker”: The Indiana Tax Court Constitutionally Expands Curtilage, Andrew W. Swain

Texas A&M Journal of Property Law

In its 2024 decision, Sawlani v. Lake County Assessor, the Indiana Tax Court reviewed the constitutionality of the Indiana General Assembly’s statutory limit of the constitutionally prescribed 1% tax cap to only one acre of land—curtilage—surrounding the taxpayer’s principal place of residence. The Tax Court held the legislature’s limitation unconstitutional, finding no verbiage in the relevant constitutional provision that justified limiting the tax cap to just one acre. This Article critically examines the Court’s decision in Sawlani, arguing that the ruling represents a significant departure from established judicial principles and legislative intent, undermining the legislature’s authority and introducing …

Assessing The Need For Supportive Day Programming In Andover, Adriana Hernandez, Setarreh Massihzadegan, Caitlin E. Coyle

Center for Social and Demographic Research on Aging Publications

Supportive and social day programs (SSDPs) provide opportunities for socialization and engagement in physical activity, cognitive exercises and emotional support in small group settings, These programs are beneficial for older adults who may experience physical or cognitive heath changes that make it difficult to participate independently. As well, those who do not drive or who are socially isolated may also benefit from participation in an SSDP. These programs also help families who may need breaks from caregiving tasks and to connect families to vital resources and support networks. An SSDP is designed to promote and enhance the social, physical, and …

Unmonitored Online Exams: Valid Assessment Or Score Inflation?, Daniel G. Lannin, Taylor Flinn, Alexandra Ilie, Dan Ispas

Faculty Publications – Psychology

Background: The validity of unmonitored online exams has raised concerns about academic integrity and grade inflation, especially given the rise of artificial intelligence–powered tools.

Objective: This study evaluates the validity of unmonitored online exams by comparing student performance between two sections of an undergraduate personality psychology course: one section completed an unmonitored online multiple-choice final exam while the other completed an in-person multiple-choice final exam.

Method: A quasi-experimental design was used with two undergraduate personality psychology course sections. Section 1 (Spring 2022, n=153) took an in-person final exam, while Section 2 (Spring 2023, n=160) took an unmonitored online final exam. …

Monima: A Novel Of The Immigrant Experience In The Multilingual Early Republic, Betsy Klima, Len Von Morzé

English Faculty Publication Series

First published in 1802, Monima offers a unique look at the lives of the poor in Philadelphia: Describing her novel as "a very plain picture of life," a plea on behalf of the "oppressed, and life-worn children of affliction,'' the author exposes the class fractures within a society we have mythologized as egalitarian (99). Such myths, the novel shows, are based on ignorance; as one character, awakened to the existence of the poor, remarks, "one half of the world don't know how the other half live" (196). Though the identity of Monima's author was not discovered for over 220 years, …

A Contrastive Framework With User, Item And Review Alignment For Recommendation, Viet Hoang Dong, Yuan Fang, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Learning effective latent representations for users and items is the cornerstone of recommender systems. Traditional approaches rely on user-item interaction data to map users and items into a shared latent space, but the sparsity of interactions often poses challenges. While leveraging user reviews could mitigate this sparsity, existing review-aware recommendation models often exhibit two key limitations. First, they typically rely on reviews as additional features, but reviews are not universal, with many users and items lacking them. Second, such approaches do not integrate reviews into the useritem space, leading to potential divergence or inconsistency among user, item, and review representations. …

Neurovig: Integrating Event Cameras For Resource-Efficient Video Grounding, Dulanga Weerakoon, Vigneshwaran Subbaraju, Joo Hwee Lim, Archan Misra

Research Collection School Of Computing and Information Systems

Spatio-Temporal Video Grounding (STVG) - the task of identifying the target object in the field-of-view that the language instruction refers to - is a fundamental vision-language task. Current STVG approaches typically utilize feeds from an RGB camera that is assumed to be always-on and process the video frames using complex neural network pipelines. As a result they often impose prohibitive system overheads (energy latency) on pervasive devices. To address this we propose NeuroViG with two key innovations: (a) leveraging on event streams from a low-power neuromorphic event camera sensor to perform selective triggering of the more energy-hungry RGB camera for …

Aligning Large Language Models For Faithful Integrity Against Opposing Argument, Yong Zhao, Yang Deng, See-Kiong Ng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have demonstrated impressive capabilities in complex reasoning tasks. However, they can be easily misled by unfaithful arguments during conversations, even when their original statements are correct. To this end, we investigate the problem of maintaining faithful integrity in LLMs. This involves ensuring that LLMs adhere to their faithful statements in the face of opposing arguments and are able to correct their incorrect statements when presented with faithful arguments. In this work, we propose a novel framework, named Alignment for Faithful Integrity with Confidence Estimation (AFICE), which aims to align the LLM responses with faithful integrity. Specifically, …

Retrieval Augmented Recipe Generation, Guoshan Liu, Hailong Yin, Bin Zhu, Jingjing Chen, Chong-Wah Ngo, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

The growing interest in generating recipes from food images has drawn substantial research attention in recent years. Existing works for recipe generation primarily utilize a two-stage training method—first predicting ingredients from a food image and then generating instructions from both the image and ingredients. Large Multi-modal Models (LMMs), which have achieved notable success across a variety of vision and language tasks, shed light on generating both ingredients and instructions directly from images. Nevertheless, LMMs still face the common issue of hallu- cinations during recipe generation, leading to suboptimal performance. To tackle this issue, we propose a retrieval augmented large multimodal …

Mimic: Ai And Ar-Enhanced Multi-Modal, Immersive, Relative Instruction Comprehension, Dhanuja Wanniarachchi, Archan Misra

Research Collection School Of Computing and Information Systems

We present a multimodal instruction comprehension framework, called MImIC, that utilizes visual sensing (including LIDAR and 2D RGB sensing) & AI spatial reasoning capabilities to support more seamless and immersive interaction between humans and AI-driven situated assistive agents. MImIC's key new capability is to support disambiguation of a wider set of relative spatial references that users naturally employ while issuing spatially-situated instructions. To support enhanced visual grounding via a combination of both fully-qualified and relative attribute references, MImIC uses (a) a fine-tuned transformer-based language translation DNN to accurately convert natural verbal commands into a structured set of machine understandable constraints …

Explainable Neural Networks With Guarantee: A Sparse Estimation Approach, Antoine Ledent, Peng Liu

Research Collection School Of Computing and Information Systems

Balancing predictive power and interpretability has long been a challenging research area, particularly in powerful yet complex models like neural networks, where nonlinearity obstructs direct interpretation. This paper introduces a novel approach to constructing an explainable neural network that harmonizes predictiveness and explainability. Our model is designed as a linear combination of a sparse set of jointly learned features, each derived from a different trainable function applied to a single 1-dimensional input feature. Leveraging the ability to learn arbitrarily complex relationships, our neural network architecture enables automatic selection of a sparse set of important features, with the final prediction being …

Whatever Happened To Queenie's Law?, Virginia C. Thomas

Library Scholarly Publications

This column illustrates how the history of a specific legislative measure that has been introduced over multiple legislative sessions can deepen our understanding of its legislative purpose.

Financial Hardship And Forum Selection Clauses, John F. Coyle

North Carolina Law Review

No abstract provided.

No. 15, March 2025: California’S Treasures: Supporting Superdiverse Youth Through Research, Policy And Practice, Magaly Lavadenz Ph.D., Linda R. G. Kaminski Ed.D, Elvira G. Armas Ed.D., Dayna Mitchell Ed.D.

Education and Policy Briefs

This research and policy brief provides an overview of the Center for Equity for English Learner’s Superdiverse Adolescent Multilingual Learners Resource Guide. The publication follows the Global California 2030 call to recognize and promote the home languages and cultures of English Learners as valuable resources to increase multilingualism within the state. The term “Superdiverse” is used to acknowledge the many facets of diversity that make up the identities of English/Multilingual Learners in addition to the breadth of linguistic diversity encompassed within their language journeys. Twenty-six English/Multilingual Learners between grades seven and twelve were interviewed about their school experiences as culturally …

Linguistic Differences Between Spanish And English: Challenges For Native Spanish Speakers And Instructional Strategies For Effective Language Learning, Allison Kassing

Honors Program: Senior Projects (Public)

This research article presents a contrastive analysis of Spanish and English, highlighting key linguistic differences that contribute to common grammatical errors among Spanish-speaking English learners. The study examines these differences across four linguistic layers: phonology, morphology, syntax, and semantics. Through error analysis, patterns of language transfer were identified and used to develop four 50-minute lesson plans tailored for English Language Learning (ELL) classes with native Spanish speakers. By recognizing students’ prior linguistic knowledge, ELL teachers can anticipate and address common errors more effectively. Special emphasis is placed on phonemes, morphemes, cognates, and sentence orders that do not exist in both …