The Role of Integrating Artificial Intelligence and Virtual Simulation Technologies in Physics Teaching

The convergence of blockchain, artificial intelligence (AI), and cloud computing is catalyzing a paradigm shift in developing secure, intelligent, and scalable digital infrastructures. This triad of technologies is increasingly utilized to improve performance, transparency, and trust in engineering-driven and socio-technical environments. This study systematically reviews the evolution, integration strategies, and applications of blockchain, AI, and cloud computing in digital ecosystems. The analysis is based on 108 peer-reviewed studies spanning the years 2012 to 2025. A comprehensive literature analysis was conducted to identify trends, synergies, and sector-specific implementations of these systems. The review explores how their integration supports real-world engineering and operational use cases. Blockchain contributes to decentralized architectures, secure data exchange, and identity verification. AI supports adaptive behavior, autonomous decision-making, and predictive analytics. Cloud computing offers the scalable infrastructure necessary for deployment. Key challenges addressed include interoperability, latency, security trade-offs, and resource allocation. Use cases in digital finance, supply chain management, and industrial automation demonstrate the effectiveness of this integration in building resilient, ethically aligned, and high-performance infrastructures. The findings offer valuable insights and technical considerations for engineers and architects seeking to design next-generation cyber-physical systems that are secure, intelligent, and socially responsive. Clinical Trial Number Not applicable. This article accentuates the extensive use of blockchain, cloud computing, and AI principles, emphasizing their crucial significance in the contemporary digital environment and paths in which blockchain technology may be employed to automate financial transactions, enhance the security of personal data and records, facilitate cross-border transactions, verify identities, execute smart contracts, utilize cryptocurrencies, and manage supply chains. This research systematically assesses the development and practical application of blockchain, cloud computing, and artificial intelligence technologies over the past decade. This study primarily focuses on monitoring the progress, practical applications, and benefits of blockchain technology in the context of financial transactions. This article probes the symbiotic relationship between artificial intelligence, cloud and blockchain technology, analyzing the evolution and fundamental concepts of their integration from 2012 to 2025. This paper also presents a detailed analysis of 108 research works acquitted over the past decade. The study provides a comprehensive examination of the current state and fundamental principles related to the integration of artificial intelligence, cloud, and blockchain technology. This paper offers a comprehensive analysis of the major obstacles confronted by blockchain technology, examining its wide-ranging applications over several industries and its socko role in transaction systems and the domain of cryptocurrencies.

The article explores the role of digitalization in the development of public finance, highlighting its key advantages, challenges, and directions for implementing digital technologies in financial resource management. It is determined that digitalization is a key factor in enhancing the transparency, efficiency, and accountability of budgetary processes. The integration of big data analytics, artificial intelligence, and blockchain technologies contributes to process automation, improves revenue and expenditure forecasting, and enables the timely detection of deviations or violations.The study examines the implementation of digital platforms such as ProZorro and “Diia,” which have significantly increased the transparency and accountability of budget expenditures while strengthening public trust in government authorities. It has been established that expanding their functionality through the integration of artificial intelligence and automation of financial operations opens new opportunities for improving public finance management efficiency.At the same time, the digitalization process faces challenges, including the insufficient level of digital literacy among civil servants, uneven access to digital services across regions, high modernization costs for infrastructure, and the complexity of integrating new technologies with existing systems. Overcoming these barriers requires a systematic approach that includes developing digital infrastructure, reforming legislation, fostering financial technologies, and strengthening cybersecurity.The study analyzes international experience in the digitalization of public finance across various countries. Using China as an example, which demonstrates a high level of integration of information and communication technologies into financial management, it is shown that their application enhances transparency, reduces costs, detects deviations, improves imperative planning, and increases the accountability of public officials. Moreover, digitalization contributes to strengthening a country’s financial sovereignty. In particular, the use of automated control and monitoring systems significantly enhances the accountability of government agencies. China’s successful experience demonstrates the potential for effectively integrating digital technologies with public financial policy. For Ukraine, this opens up prospects for introducing a mixed economic system that combines market mechanisms with effective state regulation. The implementation of such approaches, coupled with profound social transformations, will contribute not only to the digitalization of public finance but also to strengthening social security and ensuring the long-term development of the country.The research findings have both theoretical and practical significance for the development of a national strategy for the digitalization of public finance. A set of measures is proposed to enhance public trust in government institutions, reduce financial losses, optimize expenditures, and improve Ukraine’s international competitiveness. The integration of digital technologies will not only enhance the transparency of budgetary processes but also ensure the long-term stability of the country’s financial system. Further research should focus on improving digital ecosystems, adapting international experience, and assessing the socio-economic impact of digitalization.

The word “artificial intelligence” has appeared more and more frequently in our life in the past two years. More and more intelligent products have entered our ordinary people’s homes. The new technology represented by artificial intelligence technology has gradually become the key force driving China’s economic development. The integration of artificial intelligence and electronic information technology has become an inevitable trend, Electronic information engineering must be transformed, relying on artificial intelligence technology to walk in the forefront of upgrading and development. Based on the literature research method, After consulting a lot of literature about AI technology and electronic information engineering, and concludes that under the background of artificial AI technology, the scale of electronic information manufacturing industry is steadily expanding. It shows a steady growth trend. According to the big data platform, The trade volume of China’s electronic information industry is as high as 9.3 trillion, an increase of 11% Compared with the previous income scale, with the support of AI technology, the development of electronic information engineering will be even more powerful.

In today's rapidly evolving business landscape, the integration of Artificial Intelligence (AI technology within Management Information Systems (MIS) has gained significant attention as a transformative approach to enhancing decision-making processes. The aim of this research was to assess the extent of integration of Artificial Intelligence(AI) technology within Management Information Systems (MIS) of County Governments in Kenya. The findings show that Artificial intelligence integration within MIS in County Governments in Kenya were partially Integrated. These findings are anticipated to contribute to the growing discourse surrounding the level of AI integration within MIS in enhancing decision-making processes, while offering practical recommendations for organizations seeking to harness the potential of these technologies to drive improved decision-making outcomes in the Kenyan context

This article discusses the integration of artificial intelligence (AI) and video surveillance technology for construction equipment management. The use of artificial intelligence algorithms and video surveillance systems can improve equipment management by increasing the efficiency of video surveillance on construction sites, improving the safety and efficiency of construction equipment. The article discusses the potential benefits of using AI to analyze data from video feeds, including the ability to identify anomalies in equipment usage patterns, predict maintenance needs, and optimize equipment utilization. The article provides an example of the practical implementation and use of AI and video surveillance technologies in the construction industry today, highlighting their potential.

With the growth of e-commerce transactions and people living their lives online, it is important for consumer disputes to be tailored in a manner that is suitable for consumers and their types of disputes. Currently South Africa is facing major delays in resolving consumer disputes, and consumers end up not pursuing their low-value claims as the current processes take a long time. Further, consumers do not have the funds to pay attorneys. The Consumer Protection Act encourages the use of alternative dispute resolution (ADR) before a consumer dispute can be referred to a court of law. However, such ADR processes are lengthy and do not provide consumers with affordable and efficient relief. The current ADR processes do not meet the expectations of the consumers; thus, this paper proposes an integration of artificial intelligence (AI) and Blockchain Technologies in resolving consumer disputes via online dispute resolution (ODR). Various forms of AI and blockchain technologies are explored. The concept of online dispute resolution is introduced and current examples of online dispute resolution systems like eBay, and countries that have already moved to online dispute resolution with the integration of AI, are used as exemplary models for a South African online dispute resolution powered by AI and blockchain technologies.

Introduction: The integration of artificial intelligence (AI) into higher education is swiftly revolutionizing pedagogical methodologies, in conjunction with learning processes and research paradigms. The interdisciplinary potential of AI within academic settings was examined in this study, employing a case study conducted at the University of Tirana. Through the utilization of bibliometric analysis and survey-based research, this study comprehensively investigates the swiftly emerging trends in AI applications, students' significant familiarity with AI technologies, as well as the substantial challenges impeding broader adoption. The bibliometric analysis highlights significant exponential growth in AI research, particularly within pivotal domains such as finance and accounting, thereby emphasizing the swiftly increasing relevance of blockchain and automation. The survey indicates a robust enthusiasm among students for AI in educational settings. More than 90 percent of students actively incorporate AI tools in their project work. Nonetheless, resource limitations and ethical considerations, including privacy, data security, and algorithmic bias, pose considerable challenges to the widespread adoption of AI, despite the prevailing enthusiasm. Objective: The aim of this research is to examine the incorporation of Artificial Intelligence (AI) within the realm of higher education. This analysis concentrates on the applications, advantages, and challenges associated with AI, with the intent of advancing interdisciplinary research and educational methodologies at the University of Tirana. Theoretical Framework: This research expands upon the principles of AI adoption within the educational sector, alongside an examination of ethical considerations and multidisciplinary collaboration. Theories pertaining to technological integration and adaptive learning systems serve as the foundational framework for comprehending the implications of AI in the realm of education. Method: The methodology employs bibliometric analysis to examine AI-related research trends utilizing data from SCOPUS and conducts a survey to assess students' familiarity with and perceptions of AI. Data collection was facilitated through bibliometric instruments and an online survey incorporating Likert-scale and open-ended questions. Results and Discussion: The results underscore an increased focus on artificial intelligence (AI) and blockchain within scholarly research, wherein students exhibit considerable engagement and interest in AI applications. Nevertheless, limitations in resources and ethical issues, including privacy and bias, persist as primary challenges. The discourse underscores the imperative for investment in infrastructure and the incorporation of ethical education. Research Implications: This research highlights the imperative for higher education institutions to integrate artificial intelligence tools, cultivate adaptive curricula, and address ethical considerations in order to adequately prepare students for a future shaped by AI. The implications of these findings also pertain to educational policy and the formulation of interdisciplinary research strategies. Originality/Value: The study contributes by delivering a comprehensive bibliometric analysis and gives insights into student engagement with artificial intelligence. Its significance resides in presenting actionable recommendations to enhance the integration of artificial intelligence in higher education.

The integration of artificial intelligence (AI) technologies into education systems has been a transformative force across multiple disciplines, with chemistry education proving particularly fertile ground for innovation. As we consider the prospects of AI in chemistry education, it is important to recognize the unique opportunities and challenges that this integration brings. AI technologies, ranging from machine learning algorithms to advanced simulation tools, offer unprecedented opportunities to improve the way chemistry is taught and learned. By introducing interactive content, personalized learning experiences, and improved visualization techniques, these technologies not only enable deeper understanding of complex chemical concepts but also transform traditional teaching methods. This article examines the current state of AI applications in chemistry education and highlights the significant benefits and potential future developments that could further transform this field. As AI continues to advance, its role in educational contexts, particularly in chemistry, promises to be both transformative and far-reaching, paving the way for more effective educational technologies. Keywords: chemistry, artificial intelligence, chemistry education, modern education trends, methods of teaching chemistry.

With the integration of artificial intelligence (AI) technology, its value in the field of sports training has become increasingly prominent. Specifically in the extreme sport of free diving, the involvement of AI has opened up new horizons for the innovation and upgrading of training methods. This article explores the potential of AI in free diving training and constructs a framework for AI-based free diving training. The framework is grounded in the theory of digital intelligence empowerment, leveraging data collection, processing, and in-depth analysis to accurately grasp the athlete's status and provide personalized guidance and real-time feedback. Additionally, the integration of virtual reality technology creates an immersive training environment, enhancing the authenticity and sense of participation. AI enables free diving training to reach new heights, improving efficiency and safety. In the future, AI will continue to play a role in the field of sports training, bringing more possibilities to athletes. This research first explores the inherent logic of AI-enabled free diving training, clarifying the core elements such as data-driven, personalized guidance, intelligent monitoring, and interactive experiences. Secondly, by referring to international successful cases and experiences, this study proposes a localized practical framework, encompassing the construction of technical systems, organizational systems, and environmental spaces. The technical system is responsible for data collection, processing, and analysis, providing scientific and precise training guidance for athletes. The organizational system ensures the smooth implementation and effective management of the project. Meanwhile, the environmental space provides necessary physical and virtual training spaces for athletes. Through empirical research, this article validates the effectiveness and practicality of the framework, providing new ideas and methods for the innovation and development of free diving training. This research not only enriches the application research of AI in the field of sports training, but also provides strong support for the sustainable development of free diving. In the future, with the continuous advancement of technology and the expansion of application scenarios, the application of AI in free diving training will become more extensive and in-depth.

The effective integration of blockchain technology and artificial intelligence (AI) has the potential to change healthcare management. Two cutting-edge developments in the healthcare industry are blockchain and artificial intelligence. Blockchain, an open network for information sharing and permission, is being used in e-Health to apply artificial intelligence models. Healthcare workers will be able to view patient medical records on the blockchain. Artificial intelligence (AI) makes use of a wide range of suggested algorithms, decision-making power, and vast amounts of data. Health care services can be made more decentralized, transparent, safe, and impenetrable with the use of blockchain technology. AI needs cryptographic records to be stored, and blockchain makes this possible. Applications of artificial intelligence in healthcare management include chatbots for diagnosis and treatment, predictive analytics, personalized medicine, and more. Blockchain technology has applications in supply chain management, clinical trial management, interoperability, and data security and integrity in healthcare management. A more effective, safe, and patient-centered healthcare ecosystem can be created by integrating blockchain technology and artificial intelligence (AI) into healthcare management. It can encourage the development of a wide range of applications in radiology, cancer treatment, cardiology, dermatology, and fundoscopy that may save patients' lives.

The acceptance of technology at the higher educational level has been a significant discussion, with little attention on the gender dynamics on the acceptance of artificial intelligence (AI ) tools by senior lecturers. This study delved into a detailed analysis of the gender dynamics in the discussion of technology acceptance mainly AI tools, in foreign language (FL) education. Quantitative study approach was adopted in the process, and survey design was implemented. Data was collected using structured digital questionnaire, based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. A total of ninety-five (95) male senior lecturers and one hundred and three (103) female senior lecturers participated in the study. Analysis was conducted using relevant statistical measures. The results showed disparities in the attitudes and views of senior lecturers towards artificial intelligence (AI) technologies in the context of FL education, greatly influenced by gender. In relation to usage, male senior lecturers have higher positive reactions (61.06%) in comparison to their female counterparts (46.6%). However, in relation to the assumption that AI technologies improve the performance of learners, 69% of male senior lecturers agree with this notion, but a substantially greater percentage of 72.81% of female senior lecturers hold the same perspective. Moreover, there exists a little disparity in the level of proficiency in using AI technologies across genders. Specifically, 56.84% of male senior lecturers see it as uncomplicated, while 61.16% of their female counterparts share the same sentiment. The gender discrepancy that is most notable pertains to the perceived level of ease in using artificial intelligence (AI) technologies during foreign language (FL) lessons. The data reveals that a majority of male senior lecturers, calculated as 69.48%, see the use of these tools very easy. In contrast, a much higher proportion of female senior lecturers, 86.41%, share the same perception. This discrepancy highlights a notable disparity in confidence levels between the two genders. These results together emphasise the changing gender dynamics in the acceptance of technology, interrogating conventional assumptions and underscoring the need for customised support systems to guarantee fair and efficient integration of artificial intelligence (AI) technologies in foreign language instruction among senior lecturers.

The rapid advancement of artificial intelligence (AI) technologies has significantly reshaped educational systems and learning environments worldwide. In particular, the integration of AI into language education has created new opportunities for improving learning efficiency, enhancing personalized instruction, and facilitating interactive communication environments. In the context of globalization and international talent development, the ability to communicate effectively in English has become an essential competence for participating in global economic, cultural, and technological exchanges. However, traditional language education models often rely on teacher-centered instruction and standardized assessments, which may not fully address the diverse learning needs of students or provide sufficient opportunities for authentic communication practice. This study explores the role of artificial intelligence in empowering the development of English competence for international talents. Drawing upon theories of technology-enhanced learning, intelligent tutoring systems, and global competence development, the paper proposes a conceptual framework that illustrates how AI technologies can support language learning through multiple application scenarios. These scenarios include intelligent language tutoring systems, AI-mediated communication environments, automated language assessment systems, and data-driven learning analytics. Based on these application scenarios, the study further proposes an AI-empowered educational model that integrates artificial intelligence technologies with innovative pedagogical approaches to support the cultivation of international talents. The model emphasizes personalized learning pathways, adaptive instruction, and global communication platforms supported by AI systems. The study contributes to theoretical discussions on AI-supported language education and provides practical insights for cultivating internationally competitive talents in the era of digital transformation.

In recent years the integration of artificial intelligence (AI) and immersive technologies, virtual reality (VR) and augmented reality (AR), into architectural and urban design has accelerated. AI, understood as systems performing cognitive tasks, now spans generative conceptualization through performance analytics and optimization. Immersive tools enable richer visualization, at-scale spatial experience, and collaborative refinement, reshaping practice and pedagogy. Despite many publications, holistic syntheses linking methodological integration, ethics, and global practice remain scarce: reviews often isolate technical capabilities or single cases, overlooking interdisciplinary approaches and governance needed for ethical, sustainable outcomes. This study identifies contemporary approaches to applying AI and immersive technologies in shaping the architectural environment. This synthesis identifies several strands: generative methods that produce form and layout options under stated goals and constraints with guided human selection; evaluative and predictive models using machine and deep learning for rapid classification and performance forecasting with immediate feedback; optimization that combines multi-criteria search with simulations of structural behavior, energy performance, and comfort; and hybrid parametric and AI workflows enabling mass individualization. The toolset is shifting toward embedded AI assistants in CAD/BIM that handle repetitive analysis, while VR/AR expand massing, spatial testing, client communication, and remote collaboration. Convergence between AI and spatial interfaces lets parametric and generative methods run directly inside VR/MR with instant feedback. These developments motivate a rethinking of design workflows and robust evaluation methods, strengthening human-centered, data-driven practice and opening new roles within design firms.

With the rapid development of artificial intelligence (AI) technology, its potential applications in the field of social work are becoming increasingly evident. This paper explores the opportunities, risks, and future directions of the integration of artificial intelligence and social work. Through automated tools, data analysis, and intelligent support systems, AI has significantly enhanced service efficiency, precision, and coverage, while also promoting interdisciplinary collaboration and innovation. However, its application also faces risks such as ethical and privacy concerns, the loss of humanistic care due to over-reliance on technology, uneven resource distribution, and policy lag. To address these challenges, future efforts should focus on strengthening ethical guidelines and policy frameworks, improving the technical literacy of social workers, promoting equitable access to technology, exploring human-machine collaboration models, and enhancing interdisciplinary research. This paper aims to provide theoretical support and practical insights for social work practitioners, policymakers, and technology developers, fostering the deep integration of artificial intelligence and social work to build a more intelligent and human-centered social service system.

The integration of artificial intelligence (AI) and blockchain technology in curatorial practice offers transformative potential for managing, presenting, and distributing both traditional and digital art. This study explores how AI enhances curatorial processes through advanced data analysis and personalized visitor experiences. AI assists curators in organizing collections and recommending artworks tailored to individual preferences, fostering greater engagement with dynamic, customized exhibitions. Blockchain technology, on the other hand, ensures the provenance of decentralized artworks, guaranteeing authenticity and transparency. It addresses issues like counterfeiting, ownership disputes, and secure transactions, while supporting artists through smart contracts that ensure equitable compensation. However, ethical concerns remain. These include biases in AI algorithms, intellectual property challenges in decentralized NFT platforms, and limited digital access for marginalized artists. Academic studies and case analyses underscore these challenges and advocate for collaboration among curators, artists, technologists, and policymakers. This approach seeks to resolve ethical dilemmas, promote inclusivity, and maintain cultural integrity in implementing these technologies. The study emphasizes the need for public policy frameworks to regulate AI and blockchain, ensuring fair compensation and equitable access to their benefits while safeguarding cultural values. By addressing these concerns, these technologies can unlock new possibilities for the art world. Transformasi Praktik Kuratorial: Peran AI dan Blockchain dalam Membentuk Paradigma Seni-Sains yang Etis untuk Kebijakan Publik Abstrak Integrasi kecerdasan buatan (AI) dan teknologi blockchain dalam praktik kuratorial menawarkan potensi transformatif untuk mengelola, menyajikan, dan mendistribusikan seni baik tradisional maupun digital. Studi ini mengeksplorasi bagaimana AI meningkatkan proses kuratorial melalui analisis data yang mutakhir dan pengalaman pengunjung yang dipersonalisasi. AI membantu kurator dalam mengatur koleksi dan merekomendasikan karya seni yang disesuaikan dengan preferensi individu, mendorong keterlibatan yang lebih besar dengan pameran yang dinamis dan disesuaikan. Di sisi lain, teknologi blockchain memastikan asal-usul karya seni yang terdesentralisasi, menjamin keaslian dan transparansi. Teknologi ini mengatasi masalah seperti pemalsuan, sengketa kepemilikan, dan transaksi yang aman, serta mendukung para seniman melalui kontrak pintar yang memastikan kompensasi yang adil. Akan tetapi, masalah etika tetap ada. Ini termasuk bias dalam algoritma AI, tantangan kekayaan intelektual dalam platform NFT yang terdesentralisasi, dan akses digital yang terbatas untuk seniman yang terpinggirkan. Studi akademis dan analisis kasus menggarisbawahi tantangan-tantangan ini dan mengadvokasi kolaborasi di antara kurator, seniman, ahli teknologi, dan pembuat kebijakan. Pendekatan ini berusaha untuk menyelesaikan dilema etika, mempromosikan inklusivitas, dan menjaga integritas budaya dalam mengimplementasikan teknologi ini. Studi ini menekankan perlunya kerangka kerja kebijakan publik untuk mengatur AI dan blockchain, memastikan kompensasi dan akses yang adil terhadap manfaatnya sambil menjaga nilai-nilai budaya. Dengan mengatasi masalah ini, teknologi ini dapat membuka peluang baru bagi dunia seni.