Digital Commons Network^™

Evaluating The Effects Of Autonomous Learning, Goal Orientation And Self-Efficacy On The Academic Performance Of Ethiopian Stem Students’ Through Structural Equation Modeling (Sem), Jerusalem Yizengaw, Asnake Tarekegn Nigussie

Journal of Educational Technology Development and Exchange (JETDE)

The study investigates the relationships among self-efficacy, goal orientation, and autonomous learning and how these factors affect Ethiopian STEM students’ academic performance. A descriptive survey design using mixed-methods research was used. Semi-structured interviews and questionnaires were employed to gather data from eight teachers and 151 STEM students. CFA and EFA attested to the validity and reliability of the questionnaires. Quantitative data were assessed using structural equation modeling (SEM), and qualitative data were analyzed using word descriptions. Self-efficacy was positively correlated with STEM students’ academic performance (β = .12, p < .01), whereas autonomous learning and goal orientation were negatively correlated (β = -.01, p < .01) and (β = -.04, p < .01), respectively. Findings suggest that techniques that help Ethiopian STEM students develop self-efficacy should be prioritized, with implications for curriculum design and instructional approaches. According to the findings, methods that support Ethiopian STEM students in developing self-efficacy should be prioritized, with consequences for instructional strategies and curriculum design. Although self-belief appears crucial for success, further research is required to fully understand the complex interaction of these factors in Ethiopia and other contexts.

Ai-Generated Content In Education: Moving Beyond Theory Toward Data-Driven And Actionable Insights, Huong Thi Pham, Nhung Thi Phuong Nguyen

Journal of Educational Technology Development and Exchange (JETDE)

The emergence of AI-powered content such as text, images, and videos generated by large language models (LLMs) has rapidly transitioned from an experimental novelty to a structural force in higher education. Yet, previous reviews have remained largely conceptual or focused on the early stages of the AI wave. This study offers an updated, multi-faceted overview of AI-generated content in education based on data from 2022 to 2025. Following the PRISMA protocol, we systematically identified and reviewed 64 peer-reviewed studies to examine usage, transformation of teaching practices, impacts on learning outcomes, and challenges related to academic integrity, bias, trustworthiness, and teacher …

Development Of The Digital Literacy Scale Based On A Socioformative Approach In University Students, Pedro Luis Arroyo-Pizarro, Renzo Esteban Martinez Laya, Elizabeth Deisy Herrera Bustillos, Esperanza Carmen Quiñones Aldazabal, Ernesto Elias Mamani Tipula, Alex Giovanny Arestigue Navarro, Christian Daniel Palomino Huananchin

Journal of Educational Technology Development and Exchange (JETDE)

Abstract: The objective of this study was to develop and validate a digital literacy scale grounded in the socioformative approach for university students. An instrumental, cross-sectional design was used with a sample of 174 students from Metropolitan Lima. Content validity was established through expert judgment, and construct validity was examined using exploratory factor analysis. The results supported a four-factor structure—Metacognitive-Adaptive ICT domain, Critical digital information management, Multimedia communicative production, and Digital socio-ethical practice—that explained 61% of the variance. Reliability indices were acceptable across dimensions (α=.716–.810; ω=.728–.817). The findings indicate that the scale (EADigit) is a valid and reliable tool for …

Emotional Intelligence And Self-Efficacy In Relation To Turnover Intention: The Mediating Role Of Job Satisfaction And Organizational Commitment In Faith-Based K–12 Education, Nestor Osorio

Dissertations

Problem

Leadership turnover remains a significant challenge within faith-based K–12 educational systems, affecting organizational stability, school culture, and long-term institutional effectiveness. Although previous studies have examined turnover intention in educational leadership, limited research has explored how emotional intelligence and principal self-efficacy relate to turnover intention through organizational attitudes such as job satisfaction and organizational commitment within faith-based educational settings. Additionally, little empirical research has focused specifically on educational leaders serving within the North American Division (NAD) of Seventh-day Adventist schools. This study examined the extent to which emotional intelligence, principal self- efficacy, job satisfaction, and organizational commitment are associated with …

Hidden In Code: Unmasking Al Bias In Hiring, Katie Rubin

Cardozo Journal of Equal Rights & Social Justice

The note argues that while AI-driven hiring tools offer efficiency, they often automate and amplify systemic biases by relying on flawed historical data, creating a "hidden" form of discrimination. The analysis asserts that existing legal frameworks are inadequate for addressing these algorithmic harms, necessitating urgent federal reforms to ensure transparency and accountability.

Development And Psychometric Validation Of A Short-Form Critical Thinking Scale In Generative Ai Contexts (Genai–Crt): Evidence From Vietnamese Efl Learners, Ngo Cong-Lem, Thang T. Nguyen, Khanh N. H. Nguyen, Quyen N. H. Nguyen

Journal of Educational Technology Development and Exchange (JETDE)

The rapid spread of generative artificial intelligence (GenAI) in education has intensified concerns about its impact on learners’ critical thinking, underscoring the need for reliable instruments to assess how students engage critically with AI-generated content. This study adapted, developed, and initially validated the Generative AI–Critical Thinking (GenAI–CrT) scale, an eight-item short-form instrument designed to capture EFL learners’ critical thinking in AI-enhanced learning contexts. Data from 233 Vietnamese undergraduates and graduates underwent exploratory and confirmatory factor analyses, supporting a theoretically grounded four-factor structure comprising analytical skills, logical reasoning, evidence evaluation, and open-mindedness. The scale demonstrated excellent model fit (χ²(14) = 23.49, …

Trends And Innovations In The Development Of Immersive Technology In Science Education (2019-2024): A Literature Review, Aziz Kurniawan, Hartono Hartono, Bambang Subali

Journal of Educational Technology Development and Exchange (JETDE)

The COVID-19 pandemic has had a significant impact, including the change in learning methods from face-to-face to non-face-to-face learning. This change in method accelerates innovation in the use of technology to support non-face-to-face learning. Immersive technologies, such as Augmented Reality (AR), Virtual Reality (VR), and Virtual laboratories, have offered authentic and interactive non-face-to-face learning experiences in science education. This study employed a systematic literature review (SLR) method to map trends and innovations in the development of immersive technology in science education from 2019 to 2024. The literature data were obtained from the Scopus database and then selected using the PRISMA …

Speaking Up Online And Offline: The Effects Of Social Media-Based E-Portfolios In Empowering Efl Students' Speaking Performance, I Putu Indra Kusuma, Luh Indrayani

Journal of Educational Technology Development and Exchange (JETDE)

Although e-portfolios are widely acknowledged for enhancing EFL students’ speaking skills, most studies assessed performances offline, leaving limited evidence of their impact across both modes. This study examined the effects of social media-based e-portfolios combined with classroom instruction on students’ speaking performance in online and offline contexts. A mixed-methods experimental design was employed, involving 46 Indonesian university students divided into an experimental and a control group. Data were collected through online and offline pre- and post-speaking tests, a speaking performance rubric, and semi-structured interviews. Quantitative analysis using One-Way MANOVA, Univariate ANOVA, paired sample t-test, and effect size revealed significant improvements …

Case-Based Learning In Biology Education: A Systematic Literature Review, Elsje Theodora Maasawet, Jullya Christin Kolow

Journal of Educational Technology Development and Exchange (JETDE)

Biology education often relies on content-intensive instructional materials that may encourage rote memorisation rather than conceptual understanding, potentially contributing to misconceptions. Case-Based Learning (CBL) offers an alternative by engaging students in applying biological concepts to authentic, real-life cases and promoting meaningful learning. Despite growing empirical interest in CBL, no systematic literature review has specifically synthesised its application in biology education. This study therefore examined publication trends, learning skills addressed, and conceptualisations of CBL in biology education. Relevant literature was retrieved from Scopus and Web of Science using “Case-Based Learning” as the search term. Following PRISMA-guided screening, 42 articles were included …

Research On Online Public Opinion Patterns Under The Boundary Between Local And Non-Local Students In Dse: A Case Study Of Social Media Texts And Comments, Yat Him, Eugene Chan, Chang Liu

Department of Hospitality and Business Management

This study focuses on the topic of local and non-local students in the Hong Kong Diploma of Secondary Education (DSE), collecting 1203 social media texts and comment data from Douyin and Xiaohongshu (Little Red Book) platforms, employing sentiment analysis and topic identification techniques to explore the characteristics of online public opinion patterns. The research findings reveal that overall public opinion exhibits a neutral tendency (79.8%), with an average sentiment score of 0.14. DSE-related discussions totaled 216 entries, local student-related discussions 146 entries, non-local student-related discussions 41 entries, and comparative discussions 35 entries. Significant emotional differences exist among different groups, with …

Integrating Digital Tools To Foster Soft Skills In Vocational Education: A Flipped Classroom Approach In China, Shanshan Wu, Renee Shiun Yee Chew, Yanhua Bi, Hui Jin

Journal of Educational Technology Development and Exchange (JETDE)

Changes in the global demand for labor have highlighted the need for vocational education and training (VET) systems to develop not only technical skills but also soft skills like critical thinking, communication, and adaptability. This research investigates the use of digital technologies in a flipped classroom (FC) model and their impact on the development of soft skills in vocational students with particular attention to the growing VET ecosystem in China. With data gathered from a cross-sectional quantitative survey of 270 students from a Chinese vocational college, the research seeks to assess the impact of specific digital tools, such as video …

Storytelling & Simulation-Based Experiences (Sbes): Immersive Environments That Support Student Learning, Meredith Deegan, Lauren Goeke, Kristina Sandberg, Josh Blubaugh, Kimberly Davis, Mary Murigi

School of Nursing Publications

Storytelling and Simulation-Based Experiences (SBEs) offer a powerful, equity-minded approach to teaching population health. Drawing on the NLN Jeffries Simulation Theory, Kolb’s experiential learning model, and the AACN 2021 Essentials, this session presents a SBE that integrates narrative design to immerse learners in community-centered care through a simulated Federally Qualified Health Center (FQHC) waiting room experience.

This SBE places students in a crowded FQHC waiting room to explore cultural humility, empathy, and health promotion in underserved settings. After the prebrief establishing purpose and psychological safety, students enter a conference room transformed with tight seating, limited walking space, and ambient noise. …

How Does Inclusive Education Affect Students With Autism Spectrum Disorder In Elementary Schools?, Kacie M. Coe

All Electronic Theses and Dissertations

Children diagnosed with autism are at an all-time high of 1 in 31 children (Centers for Disease Control and Prevention 2025). What does this mean for our schools and students with autism? Inclusive education is more renowned than ever. What is now known as the Individuals with Disabilities Education Act (IDEA) was enacted in 1975, and guarantees every child with a disability access to a free appropriate public education (FAPE) in the least restrictive environment (LRE). Inclusion, in theory, appears to be the right decision for all our students, but what are the schools doing to prepare for these exceptional …

Who’S To Blame? Exploring Collective Emotions Between Shared Guilt And Anger: A Semiotic Study Of Digital Narratives And Social Activism In The Context Of Online Gender-Based Violence, Cristina Greco, Marianna Boero

All Works

The present study explores digital narratives and social activism in the context of online gender-based violence, focusing on the mechanisms of collective emotions, such as guilt, anger, shame, and fear. In this perspective, the narrative continues to deal with how media representations legitimate ideological conceptions and perpetuate the normalization of online violence against women. By deepening our understanding of how collective emotions are constructed and manipulated, the study aims to identify the subtle and hidden link between media discourses and actual events as they occur online. In doing so, it explores media narratives evoking collective shame, fear, anger, and guilt, …

Antimicrobial Pattern Of Crude Oil And Non-Crude Oil Contaminated Seafood From Bayelsa State, Nigeria, Mbolo Poweidor Freeborn, Akomah-Abadaike Onyinyechi Ndimele

Annals. Food Science and Technology

Seafood is an important source of protein, minerals and essential vitamins to human. This study is aimed at the microbiological evaluation of crude oil and non-crude oil contaminated seafood from Bayelsa State. Seafood such as periwinkle, prawn and clams were all harvested from crude oil and non-crude oil contaminated environment. Standard microbiological analysis for total heterotrophic bacteria were determined. Gram staining, biochemical identification, and Antibiotics susceptibility test were determined. Total heterotroph bacteria count ranged from 7.13 to 8.42 log10cfu/g, Staphylococcal count ranged from 5.48 to 6.86 log10cfu/g, Salmonella count ranged from 6.30 to 6.74 log10cfu/g, Coliform count ranged from 4.90 …

Composite Flour: Nutritional And Physical Properties A Review, Akanni Abubakar Adegboyega, Alimi John Praise, Abdulahi Hauwa Machina, Salako Mojisola Oladunni

Annals. Food Science and Technology

Composite flour is produced by blending flours derived from diverse grains or combining grains with vegetables, offering a nutrient-rich profile that includes vitamins, minerals, and dietary fiber. The growing preference for healthier and more nutrient-dense foods, influenced by evolving lifestyles and socioeconomic trends, has led to their increased relevance in food production. When one or two flours are mixed with wheat flour for baking, it influences several quality dimensions, such as the nutritional value and physical attributes of the final products. Extensive studies conducted in developing countries, where wheat flour is heavily consumed and imported to meet high demand, particularly …

Volume 31 Winter 2026

Roger Williams University Law Review

No abstract provided.

Clinton V. Babcock, 332 A.3d 167 (R.I. 2025)., Greta Johnson

Roger Williams University Law Review

No abstract provided.

State V Mangru, 337 A.3d 1009 (R.I. 2025)., Stephen Olive

Roger Williams University Law Review

No abstract provided.

New England Prop. Servs. Grp., Llc V. Ngm Ins. Co., 329 A.3d 889 (R.I. 2025)., Justin Edward Keyes

Roger Williams University Law Review

No abstract provided.

Physics-Informed Temperature Prediction Of Lithium-Ion Batteries Using Decomposition-Enhanced Lstm And Bilstm Models, Seyed Saeed Madani, Yasmin Shabeer, Michael Fowler, Satyam Panchal, Carlos Ziebert, Hicham Chaoui, François Allard

Electrical & Computer Engineering Faculty Publications

Accurately forecasting the operating temperature of lithium-ion batteries (LIBs) is essential for preventing thermal runaway, extending service life, and ensuring the safe operation of electric vehicles and stationary energy-storage systems. This work introduces a unified, physics-informed, and data-driven temperature-prediction framework that integrates mathematically governed preprocessing, electrothermal decomposition, and sequential deep learning architectures. The methodology systematically applies the governing relations to convert raw temperature measurements into trend, seasonal, and residual components, thereby isolating long-term thermal accumulation, reversible entropy-driven oscillations, and irreversible resistive heating. These physically interpretable signatures serve as structured inputs to machine learning and deep learning models trained on temporally …

Mtl_Tx: A Multi-Task Transformer Model For Improved Radiation Time-Series Estimation, Hongfang Zhang, Adam Stavola, Hal Ferguson, Bence Budavari, Hongyi Wu, Chiman Kwan, Jiang Li

Electrical & Computer Engineering Faculty Publications

Controlling radiation doses at potential radioactive facilities is critical to ensuring the safety of both personnel and the public. At the Thomas Jefferson National Accelerator Facility (JLab), multiple sensors are deployed around the three experimental halls to monitor key parameters, including single-beam current, energy levels, current leakage, and radiation values during accelerator operations. In this study, we developed a Multi-task Transformer model, MTL_TX, to accurately estimate radiation doses at sensor locations based on historical data, with the aim of enhancing safety in accelerator facilities and surrounding public areas. To improve estimation accuracy, we integrated two innovative components into the proposed …

Fault Tolerance Of Accelerated Asynchronous Fixed-Point Iterations On Flexible Computing Infrastructure, Evan Coleman, Masha Sosonkina

Electrical & Computer Engineering Faculty Publications

Asynchronous iterative methods tolerate straggling processors by allowing workers to proceed with stale data, but at a cost: the iterates become inconsistent, potentially degrading convergence. We investigate whether convergence accelerators such as Anderson acceleration compensate for this degradation. We experimentally study three fixed-point iterations: the Jacobi method for sparse linear systems, value iteration for the Bellman equation, and the Hartree–Fock self-consistent field (SCF) iteration. The experiments are conducted using a high-performance execution framework, Ray, which abstracts the complexity of distributed systems and enables code parallelization and fault injection with minimal changes.

We establish two main results. First, straggler tolerance is …

On The Harm Of Being Deputized By God, Taylor-Grey Miller

Faith and Philosophy: Journal of the Society of Christian Philosophers

No abstract provided.

Front Matter

SMU Science and Technology Law Review

No abstract provided.

State Ai Therapy Regulations – Analyzing The Illinois Wellness And Oversight For Psychological Resources Act, Natalie Browne

SMU Science and Technology Law Review

According to the Harvard Business Review, the top use case for generative artificial intelligence (AI) in 2025 was therapy and companionship. Accordingly, numerous “therapy-specific” AI tools have hit the market in recent years, vying to fill this growing need. However, individuals are also turning to generic large language models (LLMs), such as ChatGPT, to express their deepest anxieties, seek reassurance, and gather advice. While tech optimists assert that AI therapy tools will extend mental health treatment in care deserts, attention-grabbing headlines about such use cases have shattered communities and shocked legislatures. To address growing concerns about AI therapy, Illinois enacted …

Understanding Ai Usage On Campus: Perspectives Of Faculty, Staff, And Students At A Regional Comprehensive Institution, Sudarshana Bordoloi Dr., Brooke Burk

Essays in Education

The rapid rise of generative artificial intelligence (AI) has reshaped teaching, learning, research, and administrative work across higher education. To better understand how campus communities are engaging with AI, this study examines the perspectives and practices of faculty, staff, and students at a regional comprehensive university in Minnesota. Drawing on survey data from 143 respondents, the study explores patterns of AI usage, perceived benefits and challenges, and the training needs required for ethical and effective integration of AI tools. Findings indicate that students primarily use AI for tutoring, idea generation, and drafting written assignments; faculty rely on AI for research, …

Early Childhood Classrooms And Higher Education Faculty: Partnerships With Far-Reaching Benefits, Anita Weisburger

Essays in Education

The relationship between a community college early childhood teacher education faculty member and the director of an early learning center grew into a deep and meaningful partnership that went beyond the two main participants.  This description and analysis of their collaboration demonstrates the value of these partnerships to the early childhood classrooms and the faculty at the college, but it also highlights the positive impact on the college students, the young children, the school families and the community at large.  The goal of this article is to reflect on the benefits and challenges in these collaborative endeavors and highlight lessons …

The Effects Of Systematic Instructional Interventions On Functional Communication, Vocational Independence, And Academic Performance For High School Students With Autism In A Self-Contained Special Education Setting, Sarah O. Shalash

University of Kentucky Master's Theses

This project evaluated the effects of systematic instruction on functional communication, vocational independence, and functional mathematics for three high school students with autism in a self-contained special education classroom using three A–B single-case designs. Interventions included a system of least prompts for AAC requesting and vocational task completion and constant time delay for a functional timer-setting task. Student performance was measured as the percentage of independently completed responses across instructional sessions. Student T demonstrated meaningful improvement in independent AAC requesting and reached 75% independence in the final session. Student B demonstrated emerging improvement in timer-setting performance and reached 60% independence …

Exploring Undergraduate Women’S Experiences Of Collaborative Learning In Engineering Education: A Phenomenological Study Of The Social World, Sandra Ireri Cruz Morena

Doctoral

The persistent underrepresentation of women in engineering education remains a concern across global and national contexts, despite rising overall enrolment of women in higher education. In Ireland, the national average of women entering Engineering, Manufacturing, and Construction (EMC) programmes has gradually increased; however, the rate at Technological University Dublin (TU Dublin) has stayed at approximately 15% since 2016. This study seeks to better understand the gendered challenges underlying such trends by exploring the lived experiences of female undergraduate engineering students at TU Dublin, particularly in relation to collaborative learning environments such as project- and problem-based learning (PBL).