Digital Commons Network^™

Generative Ai In Higher Education: A Comparative Study Of Chatgpt Adoption, Perception, And Use Among College Students In The Global North And Global South, Shudipta Sharma, Louisa Ha

Human-Machine Communication

Generative AI tools like ChatGPT have become the fastest-adopted technology, raising concerns about its misuse in education. This study explores ChatGPT usage for class assignments among 646 college students in the U.S. and Bangladesh, focusing on their perceptions and trust in the tool. Using the technology acceptance model, along with internet efficacy and social persuasion theories, we found that students in both countries had high levels of awareness and adoption. Individual factors did not significantly influence ChatGPT usage, while social persuasion, perceived usefulness, perceived ease of use, and country were the strongest predictors. The findings suggest that AI technology may …

Making Sense Of The Role Of Chatgpt In Education: An Examination Of Student Views In China, Italy, Kenya, Uruguay, And The U.S., Leopoldina Fortunati, Autumn P. Edwards, Weiming Ye, Anna Maria Manganelli, Chad Edwards, Soledad Caballero, Lusike Mukhongo, Giovanni Ferrin

Human-Machine Communication

This article investigates the diffusion and adoption of ChatGPT among college students from a multinational convenience sample, informed by the scholarly literature on the diffusion and progressive appropriation of ChatGPT by students and teachers within the education sector and the strategies adopted by academic institutions. We applied a figurational approach to this study, offering two theses that try to understand the societal meaning of ChatGPT diffusion in the educational sector. Operationally, we explored university students’ behavioral intentions, practices of use, and opinions toward ChatGPT in five countries (China, Italy, Kenya, Uruguay, and the United States of America) through an online …

“Made Classes Easier Than A Coloring Sheet”: Student Perceptions And Uses Of Genai, Jessalyn I. Vallade, Renee Kaufmann, Trenton Upchurch

Human-Machine Communication

Student use of GenAI is growing and so are the faculty concerns. With research providing mixed suggestions and approaches, this study sought to understand the student perspective on ethical uses, their own motives and perceived benefits of GenAI use, the risks involved, and their perceptions of susceptibility and severity related to unethical use (i.e., plagiarism/cheating). Results revealed the complexity of student considerations regarding the uses, risks, and benefits of GenAI and its potential for personalized learning enhancement. Students generally view the likelihood of being caught submitting AI-generated work as their own as high and the consequences as severe. The viability …

Use Matters: How Different Ways Of Using Chatgpt Drive Ai Acceptance And Solutionism, Florian Golo Flaßhoff, Fabian Anicker, Frank Marcinkowski

Human-Machine Communication

Artificial intelligence is central to solutionism—the vision of a world where all major problems are solved through technology. This study theorizes about how human–AI communication shapes attitudes toward AI and influences the formation of public opinion, sparking solutionist imaginaries. We empirically examine the attitude formation resulting from the non-simulated use of an unmanipulated conversational model in a controlled laboratory experiment. Using a between-subjects design, participants engaged in three semi-structured 20-minute sessions with ChatGPT, providing a novel perspective on the effects of its use. The findings reveal that mere use of ChatGPT causally increases AI acceptance; however, its impact significantly depends …

Challenging The School Boundaries: Exploring Challenges And Opportunities In Homeschooling Engineering Education, Luis Montero-Moguel, Cynthia Lima, Guadalupe Carmona, Verónica Vargas-Alejo

Journal of Pre-College Engineering Education Research (J-PEER)

Homeschooling sparks controversy regarding the quality of education when compared to the traditional schooling system. However, homeschooling rates have doubled nationwide since the pandemic, especially among minorities. Funding and curricular material resources may be limited for homeschooling families, especially those from diverse backgrounds. Therefore, this essay discusses the need to expand the current boundaries of engineering education to include homeschooling communities. Drawing from our homeschooling experience, we present three recommendations that respect the cultures and unique characteristics of homeschooling to promote engineering practices in these communities. Our proposal challenges negative perceptions of homeschooling, enhancing our understanding of its unique characteristics …

Retracted: Adaptive Crossover And Mutation Mechanisms For Enhanced Lpb Algorithm Performance, Abbas M. Ahmed, Tarik A. Rashid

Iraqi Journal for Computer Science and Mathematics

This study proposes a more effective concept of Learner Performance-based Behavior (LPB). It is a new metaheuristic algorithm based on how the university admission process is done for high school students in various departments. The adaptive crossover and mutation methods were incorporated into the LPB algorithm as part of an investigation. The goal is to enhance convergence and significantly improve the quality of the solutions. The aLPB (adaptive-learner performance-based Behaviour) method stands out because it sets the crossover and mutation parameters based on the performance of the parent solutions. Thus, the proposed technique achieves a balance between exploration and exploitation …

Iot-Enabled Machine Learning Framework For Prediction Of Eutrophication, Hocine Dai, Akli Abbas, Houssam Eddine-Othman Lachemat, Aicha Aid

Iraqi Journal for Computer Science and Mathematics

This study presents an innovative predictive monitoring framework that integrates the Internet of Things (IoT) with advanced machine learning (ML) techniques to model the relationship between oxidized nitrate (NOX)—employed as the sole predictor—and chlorophyll a (CHLA), a key proxy for algal biomass. By utilising a single optimally selected parameter, the approach significantly reduces sensor deployment complexity and instrumentation costs, while minimising data acquisition and computational requirements. Logarithmic and Yeo-Johnson transformations were applied to the predictor and target variables, respectively, to address distributional skewness and enhance variance homogeneity. An optimised Random Forest model demonstrated strong predictive performance, achieving a coefficient of …

Multi Features Data Clustering Using Novel Statistical Method With Application To Color Images, Husham Y. A. Alameen, Ali Karah Bash

Iraqi Journal for Computer Science and Mathematics

The efficiency and performance of the color image clustering algorithms are determined by various factors, including accuracy, data size, speed, and reliability (the absence of randomness in the results). Some applications, like microscopes analyzing images of biological objects or telescopes observing planetary motion prioritize accuracy over execution time. In contrast, surveillance cameras and moving object tracking prioritize speed and reliability over accuracy. This study introduces a novel algorithm that balances these four factors by clustering data with multiple features linked through specific relationships. The proposed algorithm has been practically applied to RGB color images. Traditional clustering methods, such as K-means, …

A New Approach For Multiprocessor System-On-Chip Application Scheduling In Multi-Objective Flow Shops, Tahani Jabbar Khraibet, Bayda Atiya Kalaf, Ahmed Abbas Jasim

Iraqi Journal for Computer Science and Mathematics

The flow shop scheduling problem in Multiprocessor-System-on-Chip (MPSoC) architectures presents challenges for traditional optimization algorithms, especially when addressing multiple conflicting objectives. Hence, advanced optimization approaches are required to tackle these objectives simultaneously. Therefore, this research aims to propose and evaluate a new optimization approach based on the integration of the Fire Hawk Optimizer with the Smart Battery Scheduling Algorithm (FHO-SBSA) to address the multi-objective (make span, CPU time, global average delay, network throughput, and total energy consumption) flow shop scheduling problem in MPSoC systems. To evaluate the performance of the FHO-SBSA optimization approach, two benchmark applications were selected, with ten …

Investigating Processes For Pattern Creation Using Coupled Bulk-Surface Pdes When Linear Reactions Occur, Muflih Alhazmi

University of Bisha Journal for Basic and Applied Sciences

In this paper, the reaction-diffusion partial differential equations governing the coupled bulk surface in the presence of linear reactions are investigated. Suitable boundary conditions of linear Robin-type are imposed for the aforementioned system in both the bulk and on the surface on stationary volumes. The current situation is simulated using four PDE’s, namely, two equations for the bulk, and other two different equations are introduced for the surface bounding. The analyses methodology is depending on converting the system into dimensionless forms then rigorous linear stability analysis is performed to determine the necessary and sufficient conditions for pattern formation. Various cases …

Ensemble Learning-Based Vulnerability Detection And Forecasting, Hamdan Alshehri

University of Bisha Journal for Basic and Applied Sciences

The problem of identifying threats in cyberspace is basically a classification problem for machine learning, which is also a need of the hour. While a large number of works related to vulnerability detection have been reported recently, the majority of the works have been focused on IT systems. Various factors related to these systems are considered for the classification of risk levels in these works, and appropriate recommendations about expected risks and vulnerabilities in the future will be given to their users. This work aims to detect possible risks and vulnerabilities and notify the user in a timely manner using …

Memoir On A General Property Of A Very Extensive Class Of Transcendental Functions, Niels Henrik Abel 1802--1829, John Little

Mathematics and Computer Science Department Faculty Scholarship

We present this new commentary and translation anticipating the 200th anniversary of the work, commonly known as Abel's ``Paris memoir.'' This is recognized today as one of Abel's most original and influential works. It is significant mostly because it marked the first appearance of a form of a result in the theory of algebraic curves and Riemann surfaces that has come to be known as ``Abel's theorem.'' However, Abel's original understanding of the meaning and context of his result was quite different from the typical modern formulation and the development of the modern understanding has been a long and tortuous …

Usa V. Natalya Shvets

2025 Decisions

USDC for the Eastern District of Pennsylvania

Western Australian And South Australian Grain Enterprise Emission Intensities And Gross Margins: A Review, Christophe D'Abbadie, Ross Kingwell

Farm Systems and Economics research articles

Drawing on various datasets, crop enterprise emission intensities and gross margins are reported for the main broadacre crops grown in Western Australia and South Australia. Values are reported for various rainfall regions and across time, and for different farm performance groupings. As a generalisation, in each region, wheat and canola production display marked increases in emissions intensity across the study period whilst legume crops’ emission intensities increase far less. Wheat crops display upward emission intensity trajectories across time whilst displaying different rates of increase in emissions intensity according to regional rainfall. Canola demonstrates higher emissions intensities per tonne compared to …

Crow's Nest, September 29, 2025, Crow's Nest Staff

Crow's Nest

The September 29, 2025 issue of the Crow's Nest.

Packing Independent Cliques Into Planar Graphs, Csaba Biró, Gabriel Collado, Oscar Zamora

Theory & Applications of Graphs

The indeque number of a graph is largest set of vertices that induce an independent set of cliques. We study the extremal value of this parameter for the class and subclasses of planar graphs, most notably for forests and graphs of pathwidth at most $2$.

Re: Butte Mine Flooding Operable Unit Berkeley Pit And Discharge Pilot Project – August 2025 Monthly Discharge Monitoring Report, Mark Thompson, Dave Griffis

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Addressing Graduation Disparities: Double-Dose Algebra As A Catalyst For Success Among Economically Disadvantaged Learners, Tracy Matozzo

Theses and Dissertations

This study investigated the impact of a double-dose algebra intervention (DDAI) on the academic achievement of economically disadvantaged learners (EDLs) in a suburban New Jersey high school. Algebra, recognized as a gatekeeper course for graduation and postsecondary opportunities, was the focal point for targeted instructional reform. Using a quasi-experimental design, outcomes for EDLs enrolled in the DDAI were compared with peers in traditional algebra classes across three cohorts. Findings showed that EDLs in the treatment group achieved higher passing rates in Algebra I and demonstrated stronger attendance patterns than the control groups, though standardized test score improvements were modest. Survey …

09.29.2025 Ored Connect, Liz Williamson

ORED Newsletter

• Contest for Biosafety and Biosecurity Month
• ORED Website Walk Through training
• MIG Applications
• Field Fest

Amicus Brief In Support Of Ross Intelligence In Ross Intelligence V. Thomson Reuters, Jess Miers, Bryan L. Frye, Mateusz Blaszczyk

Akron Law Faculty Publications

This amici curiae brief, filed in Thomson Reuters Enterprise Centre GmbH and West Publishing Corp. v. ROSS Intelligence Inc. before the U.S. Court of Appeals for the Third Circuit, argues that Thomson Reuters failed to state a viable claim for copyright infringement against ROSS Intelligence. The amici—law professors specializing in copyright and technology—contend that Westlaw’s headnotes are uncopyrightable factual summaries of judicial opinions and that the West Key Number System has long been in the public domain. The brief distinguishes between AI “pretraining” and “fine-tuning,” emphasizing that ROSS’s fine-tuning process relied on expert-created materials rather than wholesale copying. It cautions …

Brief For Amici Curiae Brian L. Frye, Jess Miers, And Mateusz Blaszczyk In Support Of Appellant, Bryan L. Frye, Jess Miers, Mateusz Blaszczyk

Scholarly Works

This is an amicus curiae brief filed by Brian L. Frye, Jess Miers, and Mateusz Blaszczyk in support of ROSS Intelligence, Inc., arguing that Thomson Reuters's claim for copyright infringement should be dismissed.

Glucodensity Functional Profiles Outperform Traditional Continuous Glucose Monitoring Metrics, Marcos Matabuena, Rahul Ghosal Ph.D., Javier Enrique Aguilar, Ayya Keshet, Robert Wagner, Carmen Fernández Merino, Juan Sánchez Castro, Vadim Zipunnikov, Jukka-Pekka Onnela, Francisco Gude

Faculty Publications

Continuous glucose monitoring (CGM) data have revolutionized the management of type 1 diabetes, particularly when integrated with insulin pumps to mitigate clinical events such as hypoglycemia. Recently, there has been growing interest in utilizing CGM devices in clinical studies involving healthy and diabetic populations. However, efficiently exploiting the high temporal resolution of CGM profiles remains a significant challenge. Numerous indices—such as time–in–range metrics and glucose variability measures–have been proposed, but evidence suggests these metrics overlook critical aspects of dynamic glucose homeostasis. As an alternative method, this paper explores the clinical value of glucodensity metrics in capturing glucose dynamics—specifically the speed …

High School Students’ Construction Of Scientific Explanations On The Circulatory System, Phakhaporn Suwannahong, Navara Seetee, Pinit Khumwong

Journal of Education Studies

This study aims to 1) examine students’ scientific explanation ability on the topic of the circulatory system and 2) compare the writing patterns of students with different levels of scientific explanation abilities. A survey research method was employed. The samples were 67 female high school students in a science-mathematics program at an all-girls school in Bangkok in which they had already studied the circulatory system, selected by purposive sampling. The research instrument was a scientific explanation test, with a reliability coefficient of 0.82. Data was analyzed using basic statistics. Students’ abilities were categorized into three levels. The explanation patterns were …

Design Thinking As A Tool For Developing Entrepreneurial Competencies Through Multidisciplinary And Cross-National Collaborative Learning Environments, Arpasri Tewata, Krittika Inta, Supornphan Konchiab, Tawan Watakit, Sumana Sorathiwa

Journal of Education Studies

This research aimed to 1) compare students’ entrepreneurial skills before and after participating in design thinking activities under a multidisciplinary and international collaborative learning project, and 2) investigate the relationships between each phase of the design thinking process and entrepreneurial skills. The participants were 60 Thai students from a university in northern Thailand who were selected to participate in the international collaboration program. The research instruments included an entrepreneurial skills questionnaire. Data were analyzed using frequency, percentage, mean, standard deviation, t-test, and Pearson’s correlation coefficient. The results showed 1) students’ entrepreneurial skills significantly improved after participating in the program, particularly …

Response To Epa Comments Dated September 29, 2025 For The Blacktail Creek Riparian Actions Draft Preliminary (30%) Remedial Design Report, Silver Bow Creek/Butte Area Superfund Site Silver Bow County, Montana, Montana Department Of Environmental Quality

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Refining The Geochronologic Framework Of The Early Cretaceous Nonmarine Western Interior Basin, Usa, Jack Fekete

Graduate Theses and Dissertations

The Early to mid-Cretaceous marks a period of dynamic shifts in tectonism, depositional environments, climate, and biota across the mid-North American continent. However, despite their importance for understanding crucial biotic and geologic transitions during this period, nonmarine Early Cretaceous strata of the Western Interior Basin (WIB) remain poorly constrained geochronologically. Radiometric dating of syndepositional detrital minerals, such as ash-fall zircon, offers a solution to refining geochronologic frameworks. However, a magmatic lull in the Cordilleran magmatic arc during the Early Cretaceous limited the delivery of syndepositional zircon to the WIB, impeding such refinement. In this dissertation, I developed and tested new …

Re: Conditional Approval Letter For Butte Priority Soils (Bpsou) Draft Blacktail Creek Riparian Actions Remedial Design Work Plan (Dated May 1, 2025, Received July 28, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Condition Approval Letter For Bpsou Draft Final Phase I Design Investigation Evaluation Report, Blacktail Creek Riparian Actions (Dated May 2, 2025, Received July 28, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Comment Letter For Butte Priority Soils Operable Unit (Bpsou), Draft Preliminary (30%) Remedial Design Report, Blacktail Creek Riparian Actions (Dated July 28, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Draft Final 2025 Residential Metals Abatement Program (Rmap): Cccs Gymnasium Soil Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.