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Articles 80071 - 80100 of 1114360
Full-Text Articles in Entire DC Network
Putting Gpt-4o To The Sword: A Comprehensive Evaluation Of Language, Vision, Speech, And Multimodal Proficiency, Sakib Shahriar, Brady D. Lund, Nishith Reddy Mannuru, Muhammad Arbab Arshad, Kadhim Hayawi, Ravi Varma Kumar Bevara, Aashrith Mannuru, Laiba Batool
Putting Gpt-4o To The Sword: A Comprehensive Evaluation Of Language, Vision, Speech, And Multimodal Proficiency, Sakib Shahriar, Brady D. Lund, Nishith Reddy Mannuru, Muhammad Arbab Arshad, Kadhim Hayawi, Ravi Varma Kumar Bevara, Aashrith Mannuru, Laiba Batool
All Works
As large language models (LLMs) continue to advance, evaluating their comprehensive capabilities becomes significant for their application in various fields. This research study comprehensively evaluates the language, vision, speech, and multimodal capabilities of GPT-4o. The study employs standardized exam questions, reasoning tasks, and translation assessments to assess the model’s language capability. Additionally, GPT-4o’s vision and speech capabilities are tested through image classification and object-recognition tasks, as well as accent classification. The multimodal evaluation assesses the model’s performance in integrating visual and linguistic data. Our findings reveal that GPT-4o demonstrates high accuracy and efficiency across multiple domains in language and reasoning …
Newfound Belonging: Reimagining Youth Development Through Culturally Relevant Physical Activity And Literacies, Brittany Pinkerton, Christine L. Craddock
Newfound Belonging: Reimagining Youth Development Through Culturally Relevant Physical Activity And Literacies, Brittany Pinkerton, Christine L. Craddock
Journal of Youth Development
No abstract provided.
Scale-Dependent Population Drivers Inform Avian Management In A Declining Saline Lake Ecosystem, Aimee M. Van Tatenhove, John Neill, Russell E. Norvell, Erica F. Stuber, Clark S. Rushing
Scale-Dependent Population Drivers Inform Avian Management In A Declining Saline Lake Ecosystem, Aimee M. Van Tatenhove, John Neill, Russell E. Norvell, Erica F. Stuber, Clark S. Rushing
Wildland Resources Faculty Publications
Shrinking saline lakes provide irreplaceable habitat for waterbird species globally. Disentangling the effects of wetland habitat loss from other drivers of waterbird population dynamics is critical for protecting these species in the face of unprecedented changes to saline lake ecosystems, ideally through decision-making frameworks that identify effective management options and their potential outcomes. Here, we develop a framework to assess the effects of hypothesized population drivers and identify potential future outcomes of plausible management scenarios on a saline lake-reliant waterbird species. We use 36 years of monitoring data to quantify the effects of environmental conditions on the population size of …
Annual Report, Fy 2024 Quality Of Kerosene And Motor Fuel In Tennessee, Tennessee. Department Of Agriculture.
Annual Report, Fy 2024 Quality Of Kerosene And Motor Fuel In Tennessee, Tennessee. Department Of Agriculture.
Fuel Quality Reports
No abstract provided.
Design Of An Axial-Flow Tidal Turbine Test Bed And Initial Validation And Performance Testing With 1:5 Scale Mhkf1 Rotor, Megan Nicole Andersen
Design Of An Axial-Flow Tidal Turbine Test Bed And Initial Validation And Performance Testing With 1:5 Scale Mhkf1 Rotor, Megan Nicole Andersen
Master's Theses and Capstones
The University of New Hampshire (UNH) and XFlow Energy jointly designed and built a scale axial-flow turbine (AFT) test bed under the Atlantic Marine Energy Center (AMEC) work scope. The test bed was fabricated to fill an infrastructure gap in tidal energy testing equipment at UNH. The combination of rotor size and achievable towing speeds allowed for testing in a regime where turbine performance became independent of Reynolds number effects, while also maintaining reasonable blockage. As a result, data collected from the test bed can be used to predict the performance of full-scale tidal turbines. Results and uncertainty analysis were …
Determining Asphalt Pavement Milling Best Practices Through Enhanced Understanding Of Milling Operations, Kaleigh Miech
Determining Asphalt Pavement Milling Best Practices Through Enhanced Understanding Of Milling Operations, Kaleigh Miech
Master's Theses and Capstones
Milling of asphalt pavements is a commonly used technique in many cases of maintaining and rehabilitating roadways. That said, implementing these milling operations has potential to cause harm to the layers below the mill line due to it being a relatively high-stress and energy activity. In this study, the impact of milling to the pavement layer directly below the mill line was evaluated for five parameters: the pavement temperature at the time of milling, the amount of time between milling and post-mill overlay construction, the depth of milling relative to the asphalt lift interfaces, the structure of the existing pavement, …
Age-Induced Changes In Skeletal Muscle Mitochondrial Dna Synthesis, Quantity, And Quality In Genetically Unique Rats, Robert V. Musci, Jordan D. Fuqua, Frederick F. Peelor Iii, Hoang Van Michelle Nguyen, Arlan Richardson, Solbie Choi, Benjamin F. Miller, Jonathan Wanagat
Age-Induced Changes In Skeletal Muscle Mitochondrial Dna Synthesis, Quantity, And Quality In Genetically Unique Rats, Robert V. Musci, Jordan D. Fuqua, Frederick F. Peelor Iii, Hoang Van Michelle Nguyen, Arlan Richardson, Solbie Choi, Benjamin F. Miller, Jonathan Wanagat
Health and Human Sciences Faculty Works
Mitochondrial genomic integrity is a key element of physiological processes and health. Changes in the half-life of the mitochondrial genome are implicated in the generation and accumulation of age-induced mitochondrial DNA (mtDNA) mutations, which are implicated in skeletal muscle aging and sarcopenia. There are conflicting data on the half-life of mtDNA, and there is limited information on how aging affects half-life in skeletal muscle. We hypothesized that skeletal muscle mtDNA synthesis rates would decrease with age in both female and male rats concomitant with changes in mtDNA integrity reflected in mtDNA copy number and mutation frequency. We measured mitochondrial genome …
Stacked Energyscapes: Conceptualizing Fossil Fuel And Renewable Energy Entanglements In Low-Carbon Transitions, Tyler Harlan, Jennifer Baka
Stacked Energyscapes: Conceptualizing Fossil Fuel And Renewable Energy Entanglements In Low-Carbon Transitions, Tyler Harlan, Jennifer Baka
Urban and Environmental Studies Faculty Works
Energy transitions are often characterized as discrete progressions away from fossil fuels to renewable energy, typically in different geographic spaces, which result in “winning” and “losing” communities. Policies have been enacted to encourage renewable energy investment in “losing” fossil fuel extractive communities. Such conceptualizations do not sufficiently consider how fossil fuel extraction and renewable energy intersect with and shape each other in these spaces. We introduce the term “stacked energyscapes” to better characterize these interactions. Rather than replacing a fossil fuel-based energy system, we argue that renewable energy is “stacked” atop it, entangling their sociotechnical “energyscapes” together in ways that …
Paper-Recorded Ecg Digitization Method With Automatic Reference Voltage Selection For Telemonitoring And Diagnosis, Liang Hung Wang, Chao Xin Xie, Tao Yang, Hong Xin Tan, Ming Hui Fan, I. Chun Kuo, Zne Jung Lee, Tsung Yi Chen, Pao Cheng Huang, Shih Lun Chen, Patricia Angela R. Abu
Paper-Recorded Ecg Digitization Method With Automatic Reference Voltage Selection For Telemonitoring And Diagnosis, Liang Hung Wang, Chao Xin Xie, Tao Yang, Hong Xin Tan, Ming Hui Fan, I. Chun Kuo, Zne Jung Lee, Tsung Yi Chen, Pao Cheng Huang, Shih Lun Chen, Patricia Angela R. Abu
Department of Information Systems & Computer Science Faculty Publications
In electrocardiograms (ECGs), multiple forms of encryption and preservation formats create difficulties for data sharing and retrospective disease analysis. Additionally, photography and storage using mobile devices are convenient, but the images acquired contain different noise interferences. To address this problem, a suite of novel methodologies was proposed for converting paper-recorded ECGs into digital data. Firstly, this study ingeniously removed gridlines by utilizing the Hue Saturation Value (HSV) spatial properties of ECGs. Moreover, this study introduced an innovative adaptive local thresholding method with high robustness for foreground–background separation. Subsequently, an algorithm for the automatic recognition of calibration square waves was proposed …
Investigating Effectiveness Of Inverted Classroom In Undergraduate Statistics Education, Xin Ma, Jing Zhang, Petya Karkelanova, Michael C. Osborne, Anushka Karkelanova
Investigating Effectiveness Of Inverted Classroom In Undergraduate Statistics Education, Xin Ma, Jing Zhang, Petya Karkelanova, Michael C. Osborne, Anushka Karkelanova
Educational, School, and Counseling Psychology Faculty Publications
Data collected from an educational experiment were analyzed to investigate the effectiveness of an instructional reform referred to as the inverted classroom (learning activities traditionally taking place inside the classroom now take place outside the classroom and vice versa) in undergraduate statistics education. Students were taught the same statistics course in the inverted classroom (135 students) and the traditional classroom (135 students) over one semester. A small sample HLM (hierarchical linear modeling) approach was used to account for the data structure of students nested within 12 sections of the course and small sample sizes at both student and section levels. …
Ppe, Providence - Special Pathogens Program
Ppe, Providence - Special Pathogens Program
Additional Resources
No abstract provided.
A Quantum Of Privacy, Anat Lior
A Quantum Of Privacy, Anat Lior
Nevada Law Journal
Quantum technologies are on the brink of becoming the leading technologies in the upcoming years, with forecasts suggesting their imminent commercial availability. In August 2023, Google unveiled a quantum-resistant security key, while NIST is progressing a post-quantum cryptography protocol. This Article sheds light on these highly anticipated advancements, particularly in quantum computing, and explores the potential privacy implications that could arise alongside their development and integration into the commercial market. It proposes a comprehensive, long-term approach to addressing these privacy challenges early on, given the technology’s nascent stage and current lack of readiness for widespread commercial use. This timeframe allows …
Forging Future Frontiers: Pioneering Union Progress Through Training Centers, Ciara S. Alagao
Forging Future Frontiers: Pioneering Union Progress Through Training Centers, Ciara S. Alagao
Nevada Law Journal
No abstract provided.
No Really, What Should We Do? An Employer’S Guide To Groff V. Dejoy And Juggling Religious Accommodations In The Workplace, Keegan K. Davis
No Really, What Should We Do? An Employer’S Guide To Groff V. Dejoy And Juggling Religious Accommodations In The Workplace, Keegan K. Davis
Nevada Law Journal
On June 29, 2023, the U.S. Supreme Court issued an opinion expanding its Title VII workplace religious accommodation jurisprudence with Groff v. DeJoy. For nearly fifty years leading up to Groff, the Court was set on a “more than de minimis” standard for determining when a religious accommodation was too costly for an employer, and therefore did not need to be accommodated as a matter of law. In Groff, the Court raised the bar effectively ending de minimis as employers knew it. Instead of showing that a religious accommodation bears any cost on the business, Groff requires evidence of substantial …
Hybrid Classifier For Detecting Zero-Day Attacks On Iot Networks, Rana M. Zaki, Inam S. Naser
Hybrid Classifier For Detecting Zero-Day Attacks On Iot Networks, Rana M. Zaki, Inam S. Naser
Mesopotamian Journal of CyberSecurity
Recently, Internet of Things (IoT) networks have been exposed to many electronic attacks, giving rise to concerns about the security of these networks, where their weaknesses and gaps can be exploited to access or steal data. These networks are threatened by several cyberattacks, one of which is the zero-day distributed denial-of-service (DDoS) attack, which is considered one of the dangerous attacks targeting network security. As such, it is necessary to find smart solutions to address such attacks swiftly. To address these attacks, this research proposed a hybrid IDS to detect cyber-attacks on IoT networks via machine learning (ML) algorithms, namely, …
Design And Practical Implementation Of A Stream Cipher Algorithm Based On A Lorenz System, Hayder Mazin Makki Alibraheemi, Mazen M. A. Al Ibraheemi, Zainb Hassan Radhy
Design And Practical Implementation Of A Stream Cipher Algorithm Based On A Lorenz System, Hayder Mazin Makki Alibraheemi, Mazen M. A. Al Ibraheemi, Zainb Hassan Radhy
Mesopotamian Journal of CyberSecurity
Currently, the security of data has gained significant attention in modern life. Researchers have continued to address this issue. This work addresses image encryption in communication systems. It presents a proposed design and implementation of a cryptography system based on the Lorenz chaos oscillator. The paper methodology uses Xilinx System Generator (XSG) and Field Programmable Gate Array (FPGA) technologies to implement the chaotic system. To determine the approach that uses the least amount of FPGA resources while providing effective and efficient performance, the differential equations of the Lorenz chaotic system are solved via the forward-Euler and Runge–Kutta integration techniques. In …
A Novel Hybrid Fusion Model For Intrusion Detection Systems Using Benchmark Checklist Comparisons, Widad K. Mohammed, Mohammed A. Taha, Saleh M. Mohammed
A Novel Hybrid Fusion Model For Intrusion Detection Systems Using Benchmark Checklist Comparisons, Widad K. Mohammed, Mohammed A. Taha, Saleh M. Mohammed
Mesopotamian Journal of CyberSecurity
Due to the quick development of network technology, assaults have become more sophisticated and dangerous. Numerous strategies have been put out to target different types of attacks and conduct trials using various approaches. In order to maintain network integrity and ensure network security, intrusion detection systems, or IDSs, are necessary. In this work, we investigate the effects of several feature extraction methods on IDS performance. We analyze the performance of various feature extraction techniques on two well-known intrusion detection datasets, NSL-KDD and CICIDS2017. Two datasets are used to test these approaches. By lowering dimensionality, enhancing data quality, and enabling visualization, …
Deepfake Detection In Video And Audio Clips: A Comprehensive Survey And Analysis, Wurood A. Jbara, Noor Al-Huda K. Hussein, Jamila H. Soud
Deepfake Detection In Video And Audio Clips: A Comprehensive Survey And Analysis, Wurood A. Jbara, Noor Al-Huda K. Hussein, Jamila H. Soud
Mesopotamian Journal of CyberSecurity
Deepfake (DF) technology has emerged as a major concern due to its potential for misuse, including privacy violations, misinformation, and threats to the integrity of digital media. While significant progress has been made in developing deep learning (DL) algorithms to detect DFs, effectively distinguishing between real and manipulated content remains a challenge due to the rapid evolution of DF generation techniques. This study aims to address two key issues: the need for a comprehensive review of current DF detection methods and the challenge of achieving high detection accuracy with low computational cost. We conducted a systematic literature review to evaluate …
Securing Real-Time Data Transfer In Healthcare Iot Environments With Blockchain Technology, Safa Hussein Oleiwi, Saraswathy Shamini Gunasekaran, Karrar Ibrahim Abdulameer, Mazin Abed Mohammed, Mazin Abed Mohammed
Securing Real-Time Data Transfer In Healthcare Iot Environments With Blockchain Technology, Safa Hussein Oleiwi, Saraswathy Shamini Gunasekaran, Karrar Ibrahim Abdulameer, Mazin Abed Mohammed, Mazin Abed Mohammed
Mesopotamian Journal of CyberSecurity
The increasing number of Internet of Things (IoT) devices in healthcare applications, particularly during emergencies, necessitates safe protocols for transmitting real-time data. Medical data are essential for healthcare applications, and reliance on IoT devices to control information flow necessitates the consideration of five critical areas. This work addresses the security challenges associated with the transmission and storage of copyrighted healthcare data, as well as the inadequacy of the present methods in facilitating real-time data transfer given the volume of data and network conditions. This research provides a theoretical framework for the secure and immediate offloading of computations in IoT healthcare …
Bridging Disciplines With Ai-Powered Coding: Empowering Non-Stem Students To Build Advanced Apis In The Humanities, Daniel Plate, James Hutson
Bridging Disciplines With Ai-Powered Coding: Empowering Non-Stem Students To Build Advanced Apis In The Humanities, Daniel Plate, James Hutson
Faculty Scholarship
The integration of AI-powered coding assistants, such as Cursor AI, GitHub Copilot, and Replit’s Ghostwriter AI, represents a transformative shift in programming education, particularly for non-STEM students. These tools democratize coding by enabling natural language code generation, intelligent error correction, and context-aware assistance within familiar coding environments. This article explores how these technologies empower educators across disciplines to introduce basic and advanced coding concepts to humanities students, a demographic traditionally underserved in programming education. By leveraging AI, instructors can teach non-STEM students the foundational principles of coding and guide them through the development of sophisticated projects, such as building APIs …
A Subcortical Model For Auditory Forward Masking With Efferent Control Of Cochlear Gain, Braden N. Maxwell, Afagh Farhadi, Marc A. Brennan, Adam Svec, Laurel H. Carney
A Subcortical Model For Auditory Forward Masking With Efferent Control Of Cochlear Gain, Braden N. Maxwell, Afagh Farhadi, Marc A. Brennan, Adam Svec, Laurel H. Carney
Faculty Research, Scholarly, and Creative Activity
Previous physiological and psychophysical studies have explored whether feedback to the cochlea from the efferent system influences forward masking. The present work proposes that the limited growth-of-masking (GOM) observed in auditory nerve (AN) fibers may have been misunderstood; namely, that this limitation may be due to the influence of anesthesia on the efferent system. Building on the premise that the unanesthetized AN may exhibit GOM similar to more central nuclei, the present computational modeling study demonstrates that feedback from the medial olivocochlear (MOC) efferents may contribute to GOM observed physiologically in onset-type neurons in both the cochlear nucleus and inferior …
Tai Chi Practice Buffers Aging Effects In Functional Brain Connectivity, Jonathan Cerna, Prakhar Gupta, Maxine He, Liran Ziegelman, Yang Hu, Manuel E. Hernandez
Tai Chi Practice Buffers Aging Effects In Functional Brain Connectivity, Jonathan Cerna, Prakhar Gupta, Maxine He, Liran Ziegelman, Yang Hu, Manuel E. Hernandez
Faculty Research, Scholarly, and Creative Activity
Tai Chi (TC) practice has been shown to improve both cognitive and physical function in older adults. However, the neural mechanisms underlying the benefits of TC remain unclear. Our primary aims are to explore whether distinct age-related and TC-practice-related relationships can be identified with respect to either temporal or spatial (within/between-network connectivity) differences. This cross-sectional study examined recurrent neural network dynamics, employing an adaptive, data-driven thresholding approach to source-localized resting-state EEG data in order to identify meaningful connections across time-varying graphs, using both temporal and spatial features derived from a hidden Markov model (HMM). Mann–Whitney U tests assessed between-group differences …
A Genomics Driven Human Induced Pluripotent Stem Cell Model Of Infant All – Updates On Hematopoietic Differentiation, Meagan Vacek, Jacqelyn Nemechek, Irina Pushel, Priyanka Kumar, Bradley Thornton, Molly Leyda, Midhat Farooqi, Erin Guest, Jay L. Vivian, John M. Perry
A Genomics Driven Human Induced Pluripotent Stem Cell Model Of Infant All – Updates On Hematopoietic Differentiation, Meagan Vacek, Jacqelyn Nemechek, Irina Pushel, Priyanka Kumar, Bradley Thornton, Molly Leyda, Midhat Farooqi, Erin Guest, Jay L. Vivian, John M. Perry
Posters
Acute lymphoblastic leukemia in infants (iALL) is a high-risk subtype of childhood leukemia, with poor survival outcomes despite intensive therapies. Rearrangement of KMT2A (KMT2A-r) occurs in 70% of cases and is associated with chemotherapy resistance, early relapse, and rapid leukemic progression, all of which contribute to poor survival outcomes. The most common KMT2A-r in iALL is KMT2A::AFF1 (MLL::AF4), derived from t(4;11)(q21;23). This KMT2A-r generates a driver fusion oncogene which leads to epigenetic dysregulation of target gene transcription. Infant ALL’s cell of origin is thought to be a very early hematopoietic precursor, with transcriptomic studies of iALL blasts showing similarities to …
Artificial Intelligence In Orthopaedic Education: A Comparative Analysis Of Chatgpt And Bing Ai’S Orthopaedic In-Training Examination Performance, Clark Chen, Vivek Biololikar, Duncan Vannest, James Raphael, Gene Shaffer
Artificial Intelligence In Orthopaedic Education: A Comparative Analysis Of Chatgpt And Bing Ai’S Orthopaedic In-Training Examination Performance, Clark Chen, Vivek Biololikar, Duncan Vannest, James Raphael, Gene Shaffer
Einstein Health Papers
Background: This study evaluated the performance of generative artificial intelligence (AI) models on the Orthopaedic In-Training Examination (OITE), an annual exam administered to U.S. orthopaedic residency programs. Methods: ChatGPT 3.5 and Bing AI GPT 4.0 were evaluated on standardised sets of multiple-choice questions drawn from the American Academy of Orthopaedic Surgeons OITE online question bank spanning 5 years (2018–2022). A total of 1165 questions were posed to each AI system. The performance of both systems was standardised using the latest versions of ChatGPT 3.5 and Bing AI GPT 4.0. Historical data of resident scores taken from the annual OITE technical …
Exploring The Potential Of Neutrosophic Topological Spaces In Computer Science, A. A. Salama, Huda E. Khalid, Ahmed K. Essa, Ahmed G. Mabrouk
Exploring The Potential Of Neutrosophic Topological Spaces In Computer Science, A. A. Salama, Huda E. Khalid, Ahmed K. Essa, Ahmed G. Mabrouk
Neutrosophic Systems with Applications
Neutrosophic topological spaces (NTS) offer a novel framework for uncertainty modeling by incorporating degrees of truth, indeterminacy, and falsity. This paper investigates the potential applications of NTS in computer science. We provide background on neutrosophic sets and their extension to topological spaces. We then explore how NTS could be used for uncertainty modeling in data analysis (e.g., handling noisy data in sensor networks), pattern recognition (e.g., improving image classification with imprecise features), and information retrieval (e.g., enhancing search results by considering relevance uncertainty). We discuss the challenges associated with applying NTS and highlight promising areas for future research, such as …
Quality Assurance In Software Engineering: A Journey Towards Explainable Automated Solutions, Ratnadira Widyasari
Quality Assurance In Software Engineering: A Journey Towards Explainable Automated Solutions, Ratnadira Widyasari
Dissertations and Theses Collection (Open Access)
In today's digital era, the pervasive influence of software on daily life underscores the necessity for high-quality and reliable systems. Software failures can result in substantial harm and financial losses, highlighting the pivotal role of Software Quality Assurance (SQA). While automated SQA techniques have evolved to aid developers in ensuring software quality, the necessity for explainability in these automated solutions has become equally important. For example, in automated fault localization, only identifying suspicious locations is insufficient; it is essential to provide reasoning on why these locations are suspicious. This dissertation presents a series of interconnected studies aimed at developing explainable …
Understanding Why Youth Depart Early From Summer Camp, Victoria Povilaitis, Robert P. Lubeznik-Warner, Katie Mcgregor-Wheatley
Understanding Why Youth Depart Early From Summer Camp, Victoria Povilaitis, Robert P. Lubeznik-Warner, Katie Mcgregor-Wheatley
Journal of Youth Development
No abstract provided.
Beyond Machines: Exploring Human Identity In The Times Of Ai, Germán H. Alférez
Beyond Machines: Exploring Human Identity In The Times Of Ai, Germán H. Alférez
Achieve
Secular conflicting worldviews constantly influence our students with assumptions regarding human life, reality, origins, deity, the universe, purpose, truth, values, meaning, and destiny. In this presentation, we will review the concept of worldview and discuss major worldviews with a special emphasis on transhumanism. We will study how, as Adventist educators, we can help our students develop a reliable Biblical worldview from which they can pursue their vocation, make decisions, and prepare for eternity.
Design Frameworks For Ventilative Cooling: Perceptions From Building Design Practitioners In Ireland And The United Kingdom, Maha Sohail, Adam O'Donovan, Paul D. O'Sullivan
Design Frameworks For Ventilative Cooling: Perceptions From Building Design Practitioners In Ireland And The United Kingdom, Maha Sohail, Adam O'Donovan, Paul D. O'Sullivan
Publications
The global increase in building cooling demands poses a challenge for designers striving for net zero energy consumption. The prevalent use of mechanical cooling underscores the necessity for designers to consider Ventilative Cooling as a viable alternative in the early stages of building design. This paper presents findings from an exploratory survey and semi-structured interviews of industry experts in Ireland and the United Kingdom about their design processes and experienced-based approaches to designing Ventilative Cooling. The findings suggest that the pre-design stage has the same influence for promoting ventilative cooling strategies as the schematic and detailed design stages for practitioners, …
Thai Parents’ Reasons For Sending Their Children To Premium-Fee International Schools: Strategies For Establishing International Schools, Issara Wongcharoensin
Thai Parents’ Reasons For Sending Their Children To Premium-Fee International Schools: Strategies For Establishing International Schools, Issara Wongcharoensin
Theses and Dissertations from DePaul University
The study investigates the factors influencing Thai parents’ decisions when selecting international schools in the Bangkok Metropolitan Region. It examines how parents’ preferences for educational outcomes shape their choice among UK, US, or IB programs. Key findings reveal that dissatisfaction with Thai public schools drives many families to enroll their children in international schools. These institutions are valued for their supportive community atmosphere, opportunities for foreign college placements, and superior infrastructure. Preferences for different programs reflect distinct priorities: UK programs are preferred for their extracurricular activities, punctuality, and academic reputation; US programs for their emphasis on critical thinking, multiculturalism, and …