Digital Commons Network^™

Psychometric Properties Of The Digital Psychological Competence Scale For University Students In The Kingdom Of Saudi Arabia, Mona Saad Falih Alamri

University of Tabuk Journal for Humanities and Social Sciences

Higher education has undergone a rapid digital transformation, requiring students to navigate technology-rich learning environments that demand integrated cognitive and psychological competencies. This study aimed to develop and validate a Psychodigital Competence Scale for university students in the western region of Saudi Arabia, using a sample of 523 students. The initial version included 21 items, which were revised through expert judgment (agreement >= 80%) to produce a final 16-item, four-factor scale. Construct validity was assessed using a pilot sample, and Pearson correlations demonstrated statistically significant item-scale relationships at the 0.05 and 0.01 levels. Reliability indicators showed significant split-half reliability (p < 0.01) and a high Cronbach's alpha coefficient (0.908). Exploratory factor analysis supported data suitability (KMO = 0.85, Bartlett's test p < 0.01, determinant = 0.011), and confirmatory factor analysis validated the four-factor model. These findings confirm strong psychometric properties, establishing the scale as a reliable tool for psychological and educational research.

Play-Based Learning In Private International Preschools In Cairo: Teachers' Perspectives, Kesha L. Stovall

Theses and Dissertations

This thesis explores how play-based learning is practiced and contextualized in private, international preschools in Cairo, Egypt through the perspective of teachers. It calls upon both historical and contemporary theories of play and play pedagogies ranging from the times of Plato and Al-Farabi to the 21st century with Montessori and Dewey. Using a contemporary theory of play presented by Stuart Lester and Wendy Russell as a guiding framework, it examines how play and play-based learning are implemented, shaped and even challenged in a Cairene context. These contexts include sociocultural factors such as parents’ expectations and aspirations, institutional barriers, teacher development …

Shared Stories, Diverse Settings: A Podcast Analysis Of Stakeholder Experiences In Rural, Remote, And International Professional Experience, Marnie Harris, Narelle Lemon

Research outputs 2022 to 2026

This study explores the experiences and perspectives of individuals involved in rural, remote, and international professional experience, with a particular focus on the support provided to pre-service teachers. Drawing on data generated through a series of in-depth podcast interviews, the research foregrounds the relational and contextual dimensions of teacher preparation across rural, remote, and international settings. Rural and remote communities face ongoing challenges in attracting and retaining teachers; therefore, this study explored the vital role that partnerships and supportive networks play in preparing pre-service teachers to succeed in these and other unfamiliar professional experience contexts. Through thematic analysis, the research …

Measuring Teachers’ Beliefs In Their Capacity To Use Differentiated Instruction In Their Classrooms: Development, Validation And Confirmation Of A Self-Efficacy Scale, Kathryn Gibbs, Stuart Woodcock, Nicole Dargue, Leah Le, Eunjae Park, Tom Porter, Gemma Scarparolo

Research outputs 2022 to 2026

The purpose of this study was to develop, validate and confirm a scale to gain a better understanding of teachers’ beliefs in their capacity to use differentiated instruction in their classrooms. Differentiation is an effective approach to teaching, designed to enable equitable learning opportunities for every student. Teachers are recommended to differentiate aspects of teaching, instruction, learning, assessment and the learning environment due to the increasing student heterogeneity within classrooms worldwide. Emerging literature has suggested that teacher self-efficacy may influence how teachers use this teaching approach. It is unknown if there is an existing scale that measures teachers’ self-efficacy when …

The Hope Industrial Complex: Resisting Manufactured And False Hope With Critical Hope In Peace Education, Thailand's Refugee Context, Staci B. Martin, Hayso Thako, Rey Ty, Sudarat Tuntivivat, Rattanak Ly

School of Social Work Faculty Publications and Presentations

Our Point of Departure (POD) argues that the type of hope fostered within the Karen refugee community in Thailand – manufactured, false, or critical – shapes the impact of peace-building and higher education efforts. Through a dialogue among a Karen scholar, his supervisor, and a migration researcher, we demonstrate that manufactured hope, often driven by external aid, sustains dependency and overlooks core conflicts. In contrast, false hope arises from the gap between student desires and institutional barriers, leading to unmet expectations. We aim to show that by applying critical hope, the pedagogical approach enables the Karen community to enhance its …

From Fit To At-Risk: Latent Profiles Of Health And Behavior Among First-Year Mexican American College Students, Soyoung Kwon, Shannon Shen, Jieming Chen, Soojin Yoo, Boram Lim, Sukho Lee

Health & Human Performance Faculty Publications

The first year of college is pivotal for establishing lifelong health habits, yet many Mexican American students experience challenges during this transition. Using data from 285 first-year students at three Hispanic-Serving Institutions in Texas, we performed latent profile analysis (LPA) to explore groups of behavioral and physical health indicators. Four profiles were identified: (1) Moderate Risk Behavior—healthy body composition but high intake of alcohol and fast-food; (2) Multidimensional High Risk—poor sleep, high body fat, and high substance use; (3) Health-Optimal Active—active lifestyle, low-risk behaviors, and good sleep quality; and (4) Physically Inactive but Lean —low activity with lean body composition …

Equal Justice & Generative Ai, Milan R. Markovic

Faculty Scholarship

The United States has long suffered from unequal access to justice, with countless low-and middle-income Americans forced to navigate the legal system alone. Recently, prominent judges, lawyers, and scholars have seized on generative AI as a potential corrective. These techno-optimists maintain that ChatGPT and other large language models can demystify the law and address unmet legal needs. Chief Justice John Roberts has proclaimed that AI-based tools "have the welcome potential to smooth out any mismatch between available resources and urgent needs in our court system."

Although AI will be an increasingly important source of legal assistance for underserved populations, the …

Patient-Reported Measures In Children And Adolescents With Chronic Kidney Disease And Their Validation: A Scoping Review, Angela Rejuso, Asif, Martin Howell, Chandana Guha, Siah Kim, Allison Jaure, Anastasia Hughes, Kristy Nicholl, Kylie Ann Mallit, Farzaneh Bouroumad, Jonathan Craig, Armando Teixeira-Pinto, Anna Francis, Nicholas Larkins, Anita Van Zwieten, Germaine Wong

Research outputs 2022 to 2026

Context: Children with chronic kidney disease (CKD) experience complex challenges affecting their physical, emotional and quality of life outcomes. Patient-reported outcome measures (PROMs) and experience measures (PREMs), collectively known as patient-reported measures (PRMs) are essential to capture these impacts, but their validation and suitability in pediatric CKD research remain underexplored. Objective: To identify and evaluate the psychometric properties of PRMs used in research in children with CKD. Data sources: Medline, Embase, CINAHL and PSYCinfo searched from inception to March 2025. Study selection: Studies that reported the results of at least one PRM completed by patients or proxies in children aged …

Harnessing Mono-2-(Methacryloyloxy) Ethyl Succinate Grafting For Robust Micro/Nanoplastic-Resistant Ultrafiltration Membranes, Mohadeseh Najafi, Javad Farahbakhsh, Mitra Golgoli, Michael Johns, Masoumeh Zargar

Research outputs 2022 to 2026

The growing presence of microplastics (MPs) and nanoplastics (NPs) in water systems poses a serious threat to conventional treatment processes, particularly membrane filtration. This study focuses on a surface modification strategy for commercial ultrafiltration (UF) membranes via plasma-induced grafting of mono-2-(methacryloyloxy) ethyl succinate (MMES) to enhance resistance against MP/NPs fouling. The membranes were characterised using advanced analytical techniques, including high-resolution scanning electron microscopy (HRSEM), X-ray photoelectron spectroscopy (XPS), and atomic force microscopy (AFM), confirming successful grafting, increased hydrophilicity, and a more negative surface charge. At optimal conditions of grafting (2 min pretreatment, 0.5 M monomer concentration, and 3 h grafting …

Limited Site-Specific Blue Carbon Recovery Following Tropical Seagrass Restoration In Thailand, Ratchanee Kaewsrikhaw, Milica Stankovic, Pere Masqué, Mathew A. Vanderklift, Tipamat Upanoi, Anchana Prathep

Research outputs 2022 to 2026

Seagrass restoration is gaining popularity as a nature-based method for climate change mitigation, owing to its effectiveness in capturing and storing organic carbon (Corg). However, demonstrating blue carbon additionality — defined as a measurable increase in carbon stocks directly attributable to restoration activities — remains challenging. This research assessed sedimentary Corg stocks and carbon accumulation rates in restored tropical seagrass meadows throughout Thailand. Despite successful restoration at multiple sites, sediment analysis showed little Corg accumulation, low Corg and organic matter content, with non-significant differences among restored seagrass areas, patchy natural meadows, and nearby bare sand areas. Limited sediment accumulation was …

Decline In Offspring Quantity But Not Quality From Successive Matings In Male Rainforest Drosophila, With No Evidence For Genetic Divergence In Male Mating Behaviour Along Elevational And Density Gradients, Andrew D. Saxon, Eleanor K. O'Brien, Natalie E. Jones, Jon Bridle

Research outputs 2022 to 2026

Fertilisation success is a major component of male fitness, meaning males should capitalise on all opportunities for mating. However, other sources of variation in fitness mean that males often evolve life histories that limit their ability to mate frequently. We quantified mating latency, mating duration, and offspring production in males of the tropical fly Drosophila birchii when presented with up to 4 females consecutively. Males were sourced from isofemale lines from the extremes of 2 elevational gradients (20–1100 m) that show substantial differences in population density, temperature, and humidity. Total offspring sired increased with number of matings achieved, demonstrating substantial …

Psychological Needs And Wellbeing In Community Music Education For Young People Experiencing Challenging Life Circumstances, Jason Goopy, Stephanie Macarthur

Research outputs 2022 to 2026

Improving the wellbeing of young people is an international priority. Community music education programs (CMEPs) are increasingly recognized as an empowering environment for participants to learn healthy life strategies in addition to music. This qualitative case study used the theoretical lens of Self-Determination Theory (SDT) to investigate how a CMEP in regional Australia satisfied the psychological needs and enhanced the wellbeing of adolescents and young adults experiencing challenging life circumstances. The CMEP offered free afternoon programs where learning music, particularly songwriting, was used as a transformative resource to engage youth in formal life education. Entry to the program was available …

Women In The Australian Mining Industry, Michelle Gander, Fleur Sharafizad, Aglae Hernandez Grande, Heidi Vivian, Mahan Poorhosseinzadeh, Kate Blackwood

Research outputs 2022 to 2026

This report synthesises existing research on women’s participation in the Australian mining industry to identify the structural and cultural factors shaping gender inequality across the sector.

Drawing on research conducted over the past four decades, the report brings together what is currently known about how mining workplaces operate and how organisational practices, work arrangements, and site cultures shape the experiences of women across the sector. While many companies have introduced diversity and inclusion initiatives aimed at improving gender balance, the evidence suggests that challenges persist in areas such as operational roles, leadership pathways, and workplace culture.

Specifically, the report examines …

Human Oral Microbiota Dysbiosis May Be A Novel Non-Invasive Indicator Of Erectile Dysfunction, Yu Qiao, Fei Mao, Bing-Ru Jiang, Shu-Yan Lv, Heng-Bing Wang, Guang-Bo Fu

Journal of Dental Sciences

No abstract provided.

Risk Of Deep Vein Thrombosis In Patients With Periodontitis: A Nationwide Population-Based Cohort Study In Taiwan, Ying-Ting Yeh, Nai-Chen Shih, Ping-Ju Chen, Yu-Hsun Wang, Chao-Bin Yeh

Journal of Dental Sciences

No abstract provided.

Iberoamerican Neomedievalisms: “The Middle Ages” And Its Uses In Latin America, Edited By Nadia R. Altschul And Maria Ruhlmann, Emily Francomano

Medieval Feminist Forum: A Journal of Gender and Sexuality

No abstract provided.

Women And Magic In Medieval Romance: Genre, Intertextuality, And Power, By Jane Bonsall, Melissa Elmes

Medieval Feminist Forum: A Journal of Gender and Sexuality

No abstract provided.

White Before Whiteness In The Late Middle Ages, By Wan-Chuan Kao, Thelma Trujillo

Medieval Feminist Forum: A Journal of Gender and Sexuality

No abstract provided.

Chaucer And Becket’S Mother: “The Man Of Law’S Tale,” Conversion, And Race In The Middle Ages, By Meriem Pagès, Daisy E. Black

Medieval Feminist Forum: A Journal of Gender and Sexuality

No abstract provided.

Eleanor Of Aquitaine, As It Was Said: Truth And Tales About The Medieval Queen, By Karen Sullivan, Lauren Wood

Medieval Feminist Forum: A Journal of Gender and Sexuality

No abstract provided.

Trade Policy Measures And Quality Infrastructure In The Ecowas: Investigating The Inclusiveness Of The Intra-Regional Agri-Food Trade, Olayinka Idowu Kareem, Christine Wieck

Journal of African Trade

The preponderance and heterogeneous trade policy measures and quality infrastructure deficiency impact agri-food trade inclusiveness in the ECOWAS. Moreover, the inappropriate activities of some border institutions such as harassment (especially for women), graft and different charges made trading along illegal trade corridors inevitable which thereby enhances the nefarious rent-seeking activities. Furthermore, the knowledge frontier in this area is extended with the exploration and exposition of the issue of trade-related quality infrastructure. Hence, this study determines the consequences of the trade policy measures and quality infrastructure on intra-regional agri-food trade inclusiveness in the ECOWAS with a consideration of the impact on …

Zero-Sum Thinking, Meritocratic Beliefs, And Preferences For Basic Income And Universal Healthcare, David Chavanne

Economics Faculty Publications

This study uses survey responses to explore how support for basic income and universal healthcare is linked to zero-sum thinking and meritocratic beliefs. Consistent with earlier work, I find that zero-sum thinking and weaker meritocratic beliefs both lead to greater levels of support for basic income and universal healthcare. Using a path analysis, zero-sum thinking is also found to strengthen support for basic income and universal healthcare along two separate channels -- one via zero-sum thinking’s direct effect on policy support and a second via an indirect effect, whereby zero-sum thinking is attached to weaker beliefs in meritocracy, which in …

Energy-Efficient Mixed-Criticality Multicore Systems, Fayyaz Ali, Saud Wasly, Amjad Ali, Shahid Iqbal, Asad Masood Khattak, Bashir Hayat, Shah Khalid

All Works

Balancing energy efficiency with stringent timing guarantees in real-time mixed-criticality systems (MCS) is a key challenge, especially in multicore architectures. This paper introduces a novel energy-aware scheduling framework that integrates dynamic voltage and frequency scaling (DVFS) with a Decreasing-Criticality-Decreasing-Utilization (DCDU) allocation approach. The optimal operating frequencies are obtained at each criticality level; high-criticality tasks are assigned to cores at full operating frequency to maintain timing guarantees, while low-criticality tasks are allocated using worst-case execution times scaled to their optimal frequency. A fixed-priority response-time analysis is used for schedulability in low mode, high mode, and during mode changes. The extensive simulations …

Edge-Aware Ris-Assisted Dynamic Channel Allocation With Lightweight Llm Decision Agent For Interference Mitigation In Low-Altitude Remote Sensing Networks, Safiya Nasser Al-Jaradi, Mohammad Kamrul Hasan, Nabeel Al-Qirim, Shayla Islam, Muhammad Attique Khan, Rashid A. Saeed, Hashim Elshafie, Bishwajeet Kumar Pandey, Khairul Akram Zainol Ariffin

All Works

Low-altitude remote sensing networks are increasingly important for applications, such as environmental monitoring, disaster response, infrastructure inspection, and real-time sensing services. However, when many sensing nodes share limited spectrum resources, severe cochannel interference can degrade communication reliability and delay sensing-data delivery. This challenge becomes more critical in edge-enabled deployments, where control decisions must be made under strict latency, memory, and computational constraints. To address this issue, this article proposes a large language model (LLM)-enhanced edge-aware lightweight reconfigurable intelligent surface (RIS)-assisted dynamic channel allocation (EL-RIS-DCA) framework for interference mitigation in dense low-altitude remote sensing networks. The novelty of the proposed framework …

Lightweight Tinyml-Enhanced Task Offloading In Vanets For Next-Generation Intelligent Transportation Systems, Muhammad Ali, Tariq Qayyum, Asadullah Tariq, Zouheir Trabelsi, Irfan Ud Din, Shabir Ahmed

All Works

Vehicular Ad Hoc Networks (VANETs) face resource constraints, high node mobility, and stringent latency requirements, especially in safety-critical applications such as collision avoidance, path planning, and emergency braking. Task offloading to nearby vehicles or Roadside Units (RSUs) mitigates local computational limits, but dynamic conditions, unreliable nodes, and rapid topology changes complicate dependable node selection. This paper proposes a Tiny Machine Learning (TinyML)-enhanced, credibility-based task offloading framework for real-time decision-making in vehicular networks. RSUs evaluate vehicle reliability through a three-component Credibility Assessment Module: a Task Assignment Component that distributes lightweight test tasks and filters unreliable nodes via TinyML inference; a Verification …

A Preliminary Exploratory Assessment Of Chatgpt To Generating Stride Data Flow Diagrams, Hassan Alsayegh, Mohamed El-Attar

All Works

Threat modeling is a core activity in security-by-design practices, enabling early identification of architectural weaknesses before system implementation. The drawings used during STRIDE analysis are typically Data Flow Diagrams (DFDs), referred to as “STRIDE diagrams” in this paper. STRIDE diagrams provide a visual approach for categorizing security threats; however, constructing accurate STRIDE diagrams require experience and is often time-consuming. Recent advances in Large Language Models (LLMs), such as ChatGPT, raise important questions about their suitability for supporting structured security modeling tasks. This study presents a preliminary exploratory assessment of ChatGPT’s ability to generate, analyse, and iteratively refine STRIDE diagrams from …

Sustainable Paper Production From Date Palm And Reed Leaves Through The Valorization Of Agricultural Waste Products, Imane Belyamani, Alreem Alameri, Jacqueline Soghman

All Works

The environmental consequences of wood-based paper production, including greenhouse gas emissions, have accelerated the search for sustainable alternatives. This study investigates the use of reed and date palm fibers as eco-friendly raw materials for paper production, focusing on starch's influence on their thermal, structural, and mechanical properties. Reed fibers exhibited a higher pulp yield (58.2 %) and lower lignin content (7.8 %) compared to date palm fibers (55.9 % yield, 14.1 % lignin), contributing to papers with smoother textures and greater flexibility. The incorporation of starch into both fiber types resulted in notable performance improvements, though the effects were more …

Optimized Hybrid Beamforming For Ris-Assisted Multi-User Mimo In 6g Mmwave Networks: A Low-Complexity Approach To Spectral Efficiency And Interference Mitigation, Safiya Nasser Al-Jaradi, Mohammad Kamrul Hasan, Nabeel Al-Qirim, Shayla Islam, Thippa Reddy Gadekallu, Hana Mujlid, Hashim Elshafie, Rashid A. Saeed

All Works

The joint optimization of hybrid beamforming and reconfigurable intelligent surface (RIS) phase shifts in multi-user millimeter-wave (mmWave) MIMO systems is a challenging problem, mainly due to high computational complexity and the lack of adaptive interference management. Existing approaches typically rely on fixed Zero-Forcing (ZF) or Maximum-Ratio Transmission (MRT) designs or require iterative optimization with high overhead, limiting their practical use in dense 6G environments. To overcome these challenges, this research proposes a RIS-Aided Adaptive Zero-Forcing and Maximum-Ratio Transmission Hybrid Precoding (RA-ZMHP) framework for 6G mmWave multi-user MIMO systems. The main novelty of the method lies in an adaptive ZF–MRT mixing …

Integrative Machine Learning Of Genetic And Lifestyle Factors For Personalized Skin Health, Yassine Benachour, Lina Maloukh, Barbara Geusens

All Works

Objective: To develop an AI framework that combines genetic, phenotypic, and lifestyle data for profiling skin-health patterns and generating hypothesis-supporting summaries for potential decision support. Methods and procedures: A dataset of 5,254 individuals integrates six genes (FLG, AQP3, MMP-1, MMP-3, SOD2, GPX), six phenotype severities, and 20+ lifestyle factors. Mutation burden and interactions are tested by ANOVA. K-modes clustering identifies four interpretable dermatological profiles within the cohort and is embedded in leakage-free nested cross-validation (train-only selection; test labels from training centroids). Subtypes are predicted from genetics plus lifestyle using an XGBoost (XGB) classifier; explainability uses gain, permutation importance, and SHAP …

Cyber Behaviors And Well-Being In Emerging Adults: Patterns, Determinants, And Gender Differences, Areej Elsayary, Juan Calmaestra, Mercedes Gómez-López

All Works

Technological advances have reshaped the ways in which young people interact, giving rise to a complex digital landscape with implications for their well-being. Despite the growing body of research on cyber behaviors, their potential for both positive and negative well-being outcomes is not yet fully understood, nor is the role of gender in shaping these relationships. The present study aimed to explore the relationship between online moral disengagement, problematic internet use, online disinhibition, and cyberbullying dimensions and emotional, social, and psychological well-being among 671 emerging adults, as well as to examine the potential moderator role of gender. The results revealed …