Impact Of Artificial Intelligence Research Articles

Assessing Students' Affinity for Technology on Learning Outcomes with Artificial Intelligence

This study explores students' affinity for technology and its impact on learning outcomes with Artificial Intelligence (AI). Data from 123 students at Pokhara University were analyzed using a structured questionnaire with a 7-point Likert scale. The findings reveal a strong positive affinity for technology, with high mean scores indicating enjoyment in learning new technologies and staying current with tech trends. Participants also perceive AI as significantly enhancing their learning effectiveness, with mean scores reflecting positive impacts on learning outcomes. One-sample t-tests confirmed that both affinity for technology and AI's impact on learning are statistically significant, with p-values of 0.000. Despite the overall positive view of AI, a slight difference in mean scores suggests further investigation into additional factors affecting AI’s influence on learning outcomes. The study highlights the beneficial role of AI in education and emphasizes the need for ongoing research to optimize its integration into learning environments.

Diversity, Equity, and Inclusion in Nephrology: Assessing Artificial Intelligence's Impact on Decision-Making and Advocating for Ethical Regulation

Diversity, Equity, and Inclusion in Nephrology: Assessing Artificial Intelligence's Impact on Decision-Making and Advocating for Ethical Regulation

Enhancing cybersecurity protocols in tax accounting practices: Strategies for protecting taxpayer information

This paper highlights the importance of enhancing cybersecurity measures in tax accounting to protect taxpayer data. It proposes strategies to ensure compliance and enhance data security in the context of evolving cyber threats. This study investigated the cybersecurity landscape within the tax accounting sector, focusing on prevalent threats, the effectiveness of existing security measures, and areas for improvement. Utilizing a mixed-methods approach, the research combined qualitative interviews with cybersecurity experts and tax accounting professionals, quantitative surveys of 200 tax accounting firms, and detailed case studies of firms that experienced significant cyberattacks. The findings reveal that phishing attacks, ransomware, data breaches, malware, and insider threats are the most common cybersecurity challenges faced by tax accounting practices. While measures such as encryption, multi-factor authentication (MFA), firewalls, intrusion detection systems (IDS), regular security audits, and comprehensive employee training prove effective, their inconsistent implementation across the industry highlighted the need for standardized protocols. The study identified significant gaps in resource allocation, particularly for smaller firms and non-profits, and underscores the necessity for formal incident response plans. Recommendations include enhanced training programs, development of standardized security protocols, resource support for smaller firms, regular security audits, comprehensive incident response plans, and adoption of advanced technologies. The study calls for further exploration of emerging threats, cost-effective solutions for smaller firms, the impact of artificial intelligence (AI) and machine learning (ML), longitudinal studies on cybersecurity practices, and analysis of policy and regulatory impacts. These insights aim to enhance the cybersecurity posture of tax accounting practices, ensuring the protection of sensitive taxpayer information and overall industry resilience.

Impact of Artificial Intelligence on the Roles of Professors from the Perspective of University Students

Impact of Artificial Intelligence on the Roles of Professors from the Perspective of University Students

The Impact of Artificial Intelligence on Students' Academic Performance from University Teachers’ Perspectives

The Impact of Artificial Intelligence on Students' Academic Performance from University Teachers’ Perspectives

The impact of artificial intelligence on women's empowerment, and work-life balance in Saudi educational institutions.

Gender prejudice and stereotypes are prevalent in the workplace, particularly for women in the Artificial Intelligence (AI) industry, where they can significantly hinder professional development and limit prospects for growth. These challenges contribute to the underrepresentation of executives in AI. However, with the right measures, these barriers can be overcome, leading to a more inclusive and diverse AI industry. Women in this demanding technological domain often face additional difficulties in achieving a work-life balance, further constraining their professional advancement and engagement in the industry. This research aims to examine the implications of AI capabilities on work-life balance and the empowerment of female faculty members in enhancing the efficiency of educational institutions. The research performs a structural equation modeling (SEM) approach, using a survey conducted on female faculty of Saudi Arabian universities. The study specifically considers moderating variables such as age, education level, experience, and marital status. The findings, which reveal that AI managerial capability, as well as AI infrastructure agility, impacts work-life balance and empowerment of women faculties in educational institution efficiency, underscore the significance of considering demographic factors when analyzing women's empowerment and work-life balance as outcomes. By exploring these factors, the research provides a comprehensive understanding of how AI capabilities impact women's empowerment and their ability to maintain a work-life balance, ultimately contributing to the efficiency and effectiveness of educational institutions. These results emphasize the value of increasing women's empowerment and raising the standard of performance evaluation systems in educational sectors.

WHEN IP MEETS NFTs: THE CASE FOR INTELLECTUAL PROPERTY PROTECTION FOR NON-FUNGIBLE TOKENS

The world has seen enormous disruption by new age technologies in every domain of today's economy including the arena of art, music and entertainment. Furthermore, the impact of artificial intelligence and blockchain technology particularly the Non Fungible Tokens (NFTs) has overwhelmed scholars about their understanding of laws related to intellectual property. Advances in technology are expanding the scope of intellectual property beyond traditional patents, trademarks, designs, trade secrets, plant breeders' rights, and more. Various issues related to intellectual property have taken centre stage in the world of NFTs and Blockchains. Intellectual property disputes over virtual goods and NFTs are on the rise, and countries across the world are endeavoring to address the issues related to the protection of virtual goods. This article analyses the nature and scope of protection granted to virtual goods and NFTs in major jurisdictions viz the US and China. Further, the article analyses if the provisions of Indian IP Laws particularly the Trademarks and Designs Acts are sufficient to grant protection to the virtual goods.

Emerging trends in flavonoid research: Advances in understanding and applications

Flavonoids are secondary plant metabolites involved in biological activity that are present in plentiful proportions in many plant origin foods and beverages. Owing to their chemical difference and qualities that make them beneficial for human health, they have received a lot of focus in research. This review therefore presents an account on the chemical structure of flavonoids, food sources and their metabolism with emphasis on bioavailability. And they also examine their antioxidant, anti-inflammatory, anticancer, cardiovascular protective, neuroprotective, and antimicrobial properties and reveal related molecular processes. In addition, it overviews the clinical data concerning their possible use in the prevention and treatment of chronic diseases. Some of the problems that attend current flavonoid research are also dealt with; such issues as variation in the bioactivity of flavonoids and scarcity of clinical studies. This review is designed to present current state of knowledge and to provoke further research concerning the further potential of flavonoids in enhancing human health.

The Impact of Artificial Intelligence on Reducing the Learning Curve in 3D Modelling: Enhancing User Experience through Automation and Personalized Assistance.

The purpose of this research paper is to analyse the effects of Artificial Intelligence in 3D modelling software applications to the user experience with an understanding of how the incorporation of automated processes can alleviate the steep learning curve felt by first time users. Concisely the study focuses on the degree to which assistance offered and the tools that helps to manage the work flow improve the accessibility for inexperienced users. Thus, the paper employing the analysis of the degrees of user satisfaction and productivity targeted by these automatic features will illustrate the contribution of these features to the improvement of the modelling environment, targeting the higher percentage of users’ engagement and successful 3D design project implementation. Therefore the study affirms the hypothesis that AI aids in easing the complexities in software hence creating breakthrough creativity and innovation for first time users.

The impact of artificial intelligence on regulatory compliance in the oil and gas industry

Artificial Intelligence (AI) is increasingly transforming the regulatory compliance landscape in the oil and gas industry. This paper examines the profound impact of AI on ensuring adherence to complex regulatory frameworks governing this sector. Regulatory compliance in the oil and gas industry involves adhering to a myriad of environmental, safety, and operational regulations, often posing significant challenges due to the volume and complexity of data involved. AI technologies, including machine learning, natural language processing, and predictive analytics, offer innovative solutions to these challenges. AI enhances data management and analysis by automating data collection, processing, and reporting, thereby increasing accuracy and efficiency. Predictive maintenance and risk assessment tools powered by AI can identify potential compliance issues before they arise, allowing for proactive measures. Moreover, AI-driven compliance monitoring systems enable real-time tracking of regulatory adherence, reducing the risk of non-compliance and associated penalties. Automated auditing and inspection processes further streamline compliance checks, ensuring thorough and consistent evaluations. Case studies demonstrate successful AI implementations in regulatory compliance, such as automated reporting systems in offshore drilling and predictive maintenance in pipeline management, which have resulted in improved compliance rates and reduced operational risks. However, the adoption of AI is not without challenges. Issues related to data quality and integration, cybersecurity, and regulatory acceptance pose significant hurdles. Additionally, ethical and legal considerations surrounding AI deployment must be addressed to ensure responsible use. AI holds substantial potential to revolutionize regulatory compliance in the oil and gas industry by enhancing efficiency, accuracy, and proactive risk management. As AI technologies continue to evolve, their integration into compliance processes will likely become more sophisticated, offering greater benefits and addressing current limitations. The future of regulatory compliance in the oil and gas sector will be increasingly shaped by the advancements in AI, driving both operational excellence and adherence to stringent regulatory standards.

Transforming the future of nursing care: Artificial intelligence in pediatrics autism nursing care

The advent of artificial intelligence (AI) is revolutionizing various fields, including healthcare. AI's impact is increasingly evident in managing and caring for autistic pediatric patients [1]. The integration of AI into pediatrics autism nursing care is revolutionizing the approach to diagnosis, treatment, and ongoing management of children with autism spectrum disorder (ASD). Through their capacity to process and analyze vast amounts of data, AI technologies offer new possibilities for enhancing the precision, efficiency, and personalization of care for children with autism. ASD presents unique challenges that require specialized, often intensive, care strategies. According to Zhao et al., (2024), integrating AI into nursing care for children with autism offers promising opportunities to enhance diagnostics, personalize treatment plans, and improve overall patient outcomes [2]. This commentary explores how AI is transforming pediatric autism nursing care and the vital role nurses play in this evolving landscape. ASD is a developmental disorder characterized by challenges with social interaction, communication, and repetitive behaviors. Symptoms and their severity vary widely among individuals, making ASD a spectrum disorder. Research indicates that early diagnosis and intervention are crucial for improving outcomes, yet these can be difficult due to the complex and varied presentation of the disorder [3].

NAVIGATION IN E-GOVERNMENT: THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE FORMATION OF THE LEGAL FRAMEWORK FOR THE PROTECTION OF INTELLECTUAL PROPERTY RIGHTS

The integration of artificial intelligence (AI) into electronic government (e-government) systems is revolutionizing public administration by enhancing efficiency and improving service delivery. However, the adoption of AI technologies in this context also raises complex legal challenges, particularly concerning intellectual property (IP) rights. Traditional IP laws, which were developed with human authorship in mind, struggle to accommodate the unique characteristics of AI-generated content. This article examines how AI is reshaping the legal framework for IP protection within e-government systems, highlighting the implications and challenges that arise from this technological shift. The primary aim of this study is to explore the role of AI in the formation of IP law frameworks within e-government, focusing on how current laws address—or fail to address—the challenges of AI-generated content. The methodology includes a comprehensive literature review, analysis of legislative documents, case studies, and a benchmarking analysis to compare approaches across jurisdictions. Additionally, expert interviews provide insights into practical considerations and emerging trends in the field. The results indicate that while some jurisdictions, such as the European Union, are actively adapting their IP laws to address AI's impact, most existing frameworks remain inadequate for protecting AI-generated works. Divergent approaches across countries reveal a lack of international harmonization, which complicates cross-border collaboration and legal enforcement. The analysis also highlights the importance of public-private partnerships and sector-specific IP protections, which can address the unique needs of different e-government applications. From a forward-looking perspective, the study underscores the need for flexible, AI-specific IP protections that promote innovation while safeguarding IP rights. International cooperation will be essential for establishing consistent standards, facilitating global e-government initiatives, and supporting the responsible use of AI in public services. By fostering a balanced and adaptive IP framework, policymakers and stakeholders can help build a resilient digital ecosystem that accommodates future advancements in AI technology.

Artificial Intelligence Impact on Customer Experience: Conceptualization, and a Proposed Model

Artificial Intelligence Impact on Customer Experience: Conceptualization, and a Proposed Model

The Dilemma and Transformation of Teacher Roles in the Context of ChatGPT

Artificial intelligence such as ChatGPT has had a huge impact on the development of education. With the development and application of ChatGPT in the field of education, the issue of teacher roles being challenged has received widespread attention. This article discusses the development issues and transformation paths in the context of ChatGPT. This article believes that the role of teachers faces some challenges under the impact of artificial intelligence and urgently needs to adapt and transform. These issues include the weakening of teacher authority, alienation of teacher-student relationships, insufficient self-awareness of teacher roles, and a gap between knowledge and practice in teacher teaching practice. Based on this, this article analyzes that teachers need to transform from the original single teaching mode to guides, learning partners, "pilots" collaborative educators, integrators of teaching resources, and cultivators of knowledge construction for student learning. Therefore, to help teachers achieve better identity conversion, this article proposes the following suggestions. Teachers should fully understand their educational attributes, actively explore scientific educational methods, enhance their educational technology capabilities, integrate new-era educational resources, and help students become the leaders of learning.

The Role and Impact of Artificial Intelligence in The Learning of English Writing Skills in Second Language Acquisition

In this era of Artificial Intelligence (AI), its integration into English writing in Second Language Acquisition has long been a research hot spot of numerous scholars all over the world. However, previous studies generally focus on investigating and assessing its present applications instead of adopting a comprehensive view. To help fill the research gap, this study examines the current usage of AI in the learning of English writing, explores the problems and obstacles students encounter, and provides feasible solutions to its defects. The result indicates that apart from bringing multiple benefits to learners, AI has also generated various problems mostly characterized by declining creative learning, weakened social connection, and menaced confidential information. On account of the existing problems, this study propounds that there is an urgent need for improvement, including revolutionizing AI's internal mechanism, modifying the criteria for English writing evaluation, and installing more advanced systems for surveillance and individualized learning.

Research on the impact of artificial intelligence on college students' learning

With the rapid development of artificial intelligence (AI) technology, its application in the field of education is becoming more and more widespread. This study aims to explore the impact of AI on college students’ learning, focusing on its role in learning motivation, learning styles and academic performance. Through a combination of quantitative and qualitative methods, the study found that AI not only enhances students’ learning motivation and stimulates their interest, but also promotes the diversification of learning styles and helps students learn more effectively and independently. In addition, students who use AI generally perform better academically than non-users, indicating that intelligent technology has a positive impact on academic performance. The research results provide an important reference for the formulation of education policies and the improvement of educational practices.

The impact of artificial intelligence on intellectual capital development: Shifting requirements for professions and processes in the non-profit sector

The impact of artificial intelligence on intellectual capital development: Shifting requirements for professions and processes in the non-profit sector

The Fourth Educational Revolution and the Impact of AI on Pedagogy

This study explores the capacity of Artificial Intelligence (AI) to revolutionize educational pedagogy, aiming to foster a more personalized and effective learning experience. Methodology: Through a bibliometric analysis of publications in Scopus and Web of Science, the research examines AI's impact on adaptive learning, personalized instruction, and effective teaching methods. It also evaluates AI's role in assessment, creation of simulated learning environments, and widening access to education, while addressing the integration challenges. Conclusions: The investigation demonstrates that AI has considerable potential to improve teaching and learning. AI-driven tools like intelligent tutoring systems, machine learning algorithms, and virtual simulations can facilitate a learner-centric approach. Nonetheless, it also highlights the necessity to confront issues such as technological overdependence, privacy concerns, and the potential displacement of teachers. A thoughtful adoption of AI in education could lead to a more equitable and engaging learning system. The advent of this educational revolution demands a focus on augmenting human capabilities with AI and transforming pedagogical strategies to enhance student outcomes. The research advocates for further development of ethical standards and informed policies to guide AI integration in the educational sector.

Impact of Artificial Intelligence in Anatomy

Artificial intelligence is being used and integrate positively in anatomy, in which programs are available at all times, enhancing efficiency and decision-making, however, it also offers significant challenges by reducing human jobs, ethical concerns and high costs. This review provides an overview of artificial intelligence and the significant technology in the anatomy education.

The Influence of Artificial Intelligence on Modern Marketing

This paper explores how Artificial Intelligence (AI) is reshaping the marketing landscape, using data primarily sourced from Statista. By analysing global trends up to March and July 2023, we aim to provide a clear understanding of AI's impact on marketing strategies and outcomes. We begin by examining the rapid growth of AI in marketing, including its market size, revenue, and the preferences of users worldwide. We also highlight the popularity of leading AI text tools among users, giving insights into their market dominance and adoption rates. In addition, we investigate the funding landscape for AI marketing-related startups, showcasing the industry's investment trends and innovation potential. Furthermore, we identify the most effective ways marketers are using AI and marketing automation, offering practical insights for professionals seeking to leverage these technologies. Our study also looks at where AI is being used in marketing, revealing the diverse applications that are shaping strategies globally. We delve into the tools and platforms driving AI integration in marketing and advertising, as well as the main tasks undertaken by professionals using generative AI. A key focus is on AI-assisted writing, where we outline how marketers are employing AI for content creation and its impact on efficacy. We also explore the perceived benefits of AI tools according to marketing professionals, providing actionable insights for decision-making. Lastly, we assess the effectiveness of chat-based search advertising, particularly among paid search marketers in the United States. Through a concise summary of our findings, this paper aims to offer a comprehensive view of AI's transformative role in marketing, providing practical insights for industry stakeholders navigating this evolving landscape. In conclusion, this research serves as a roadmap for marketers, entrepreneurs, and industry professionals, guiding them through the integration of AI technologies into marketing strategies and operations. By understanding the current trends and potential benefits of AI, stakeholders can adapt and thrive in an increasingly AI-driven marketing environment.