Metaverse as a cutting-edge platform for attaining Sustainable Development Goals (SDGs)

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The Metaverse, an immersive virtual reality realm where users engage with computer-generated environments, is swiftly emerging as a transformative platform poised to address and propel Sustainable Development Goals (SDGs). This research delves into the intersections between Metaverse SDGs, shedding light on how this cutting-edge technology can be harnessed sustainable development across diverse sectors. Commencing comprehensive overview, paper details evolution, key components, capabilities of Metaverse. Underscoring its dynamic interactive essence, emphasizes potential revolutionize conventional approaches education, healthcare, environmental conservation, economic empowerment. A thorough analysis unveils Metaverse's role in democratizing education by transcending geographical boundaries providing inclusive learning environments. nature facilitates experiential learning, enhancing accessibility, fostering global collaboration fulfill SDG 4 (Quality Education). Additionally, explores contribute healthcare solutions through medical consultations, training professionals, simulating scenarios. innovative approach holds disparities, advance 3 (Good Health Well-being), improve overall public health. Environmental sustainability takes center stage serves for raising awareness about climate change, promoting practices, eco-friendly solutions. aligns 13 (Climate Action) 15 (Life Land), emphasizing capacity inspire real-world stewardship. Economic empowerment addressed discussions economies within highlighting opportunities entrepreneurship, job creation, financial inclusion. exploration corresponds 1 (No Poverty), 8 (Decent Work Growth), 10 (Reduced Inequality).

Language: Английский

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A Structural equation modeling analysis of generative AI chatbots adoption among students and educators in higher education

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: 7, P. 100274 - 100274

Published: Aug. 3, 2024

In an era where artificial intelligence (AI) is reshaping educational paradigms, this study explores AI-based chatbot adoption in higher education among students and educators. Employing a Structural Equation Modeling (SEM) approach, the research focuses on developing validating comprehensive model to understand multifaceted factors impacting acceptance use of these chatbots. The methodology integrates extensive literature review, construction theoretical model, administration detailed questionnaire representative sample from sector, coupled with advanced SEM techniques for data analysis interpretation. validates model's robustness highlights relationships between several key affecting users' perspectives chatbots adoption. Results reveal predominantly positive perception towards AI-chatbots both educators, underscoring potential substantially enrich their journey. However, it also uncovers critical concerns pertaining trust, privacy, response bias, information accuracy. Moreover, offers valuable insights into how moderators such as technological proficiency, user roles, gender influence relationships. This emphasizes need customizing deployment meet diverse needs users effectively. Contributing robust framework understanding perceptions patterns, actionable leaders, policymakers, technology developers. It lays groundwork future research, including longitudinal studies evaluate long-term impact technologies, investigations effect learning outcomes, explorations ethical privacy considerations involved.

Language: Английский

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Leading-edge Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and Internet of Things (IoT) technologies for enhanced wastewater treatment systems

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The escalating global demand for clean water mandates the development of inventive approaches to wastewater treatment systems. This paper investigates incorporation cutting-edge technologies, specifically Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and Internet Things (IoT), revolutionize elevate procedures. collaborative application these technologies presents a promising avenue optimizing efficiency, sustainability, overall performance within infrastructure. play pivotal roles in predictive modeling decision-making processes plants. These facilitate real-time monitoring quality parameters, enabling dynamic adjustments protocols based on data-driven insights. adaptive nature AI ML algorithms enhances system resilience, diminishes operational costs, ensures adherence rigorous environmental standards. integration Blockchain technology introduces decentralized secure framework managing data By capitalizing inherent transparency immutability blockchain, stakeholders can trace complete lifecycle treatment, from source discharge. not only promotes accountability but also nurtures trust among regulators, utilities, public, fostering more transparent sustainable management ecosystem. Moreover, contributes establishment connected responsive Sensor networks embedded throughout process enable collection, facilitating remote control. seamless communication between IoT devices prompt identification anomalies potential failures, allowing timely intervention averting hazards. research underscores emphasizes significance their address evolving challenges contribute future.

Language: Английский

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Integrating ChatGPT, Bard, and leading-edge generative artificial intelligence in building and construction industry: applications, framework, challenges, and future scope

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The infusion of generative artificial intelligence (AI), as exemplified by models such ChatGPT and Bard is proving to be a revolutionary catalyst within the building construction sector. This exploration delves into myriad applications, establishes conceptual framework, confronts challenges, delineates prospective trajectory harnessing AI across diverse stages lifecycle. In domain project management scheduling, contribute optimal resource allocation, task sequencing, timeline optimization, thereby elevating overall efficiency delivery. Design optimization equally pivotal, assists architects engineers in crafting innovative designs that concurrently adhere functional aesthetic criteria. predictive prowess fortifies risk management, furnishing stakeholders with insights potential risks effective mitigation strategies. Meanwhile, realm cost estimation budgeting, enhanced accuracy speed offered optimize financial planning allocation. Supply chain benefits from streamlined processes driven insights, ensuring timely cost-effective procurement materials. Generative linchpin quality control, identifying defects deviations standards enhance quality. Real-time data analysis strengthens site monitoring safety protocols, enabling proactive secure working environment. Collaboration communication teams are augmented AI, facilitating seamless information exchange decision-making processes. Predictive maintenance asset undergo transformation, algorithms predicting equipment failures optimizing schedules. Furthermore, integration tackles imperative energy sustainability Models like bard significantly for conservation sustainable practices. paper also explores incorporation reality (AR), virtual (VR), Building Information Modeling (BIM). Ethical concerns, privacy, robust cybersecurity measures necessitate careful consideration. As industry embraces these innovations, substantial improvements efficiency, sustainability, outcomes poised unfold.

Language: Английский

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Explainable Artificial Intelligence (XAI) in healthcare: Interpretable Models for Clinical Decision Support

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

In healthcare, the incorporation of Artificial Intelligence (AI) plays a pivotal role in enhancing diagnostic precision and guiding treatment decisions. Nevertheless, lack transparency conventional AI models poses challenges gaining trust clinicians comprehending rationale behind their This research paper explores Explainable (XAI) its application with specific focus on transparent designed for clinical decision support various medical disciplines. The initiates by underscoring crucial requirement interpretability systems within healthcare realm. Recognizing diverse nature specialties, study investigates tailored XAI approaches to meet distinctive needs areas such as radiology, pathology, cardiology, oncology. Through thorough review existing literature analysis, identifies key obstacles prospects implementing across varied contexts. field cornerstone imaging, proves beneficial elucidating decision-making procedures image analysis algorithms. probes into impact interpretable radiological diagnoses, examining how can seamlessly integrate AI-generated insights workflows. Within where is utmost importance, clarifies enhance histopathological assessments. By demystifying intricacies AI-driven pathology models, aims empower pathologists leverage these tools more accurate diagnoses. Cardiology, characterized complex interplay physiological parameters, benefits from offering intelligible explanations cardiovascular risk predictions recommendations. delves highlighting potential systems. Moreover, oncology, decisions hinge precise identification characterization tumors, aids unraveling intricate machine learning models. This, turn, fosters among oncologists utilizing personalized strategies.

Language: Английский

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Exploring the Landscape of Generative AI (ChatGPT)-Powered Writing Instruction in English as a Foreign Language Education: A Scoping Review

ECNU Review of Education, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 17, 2025

Purpose Recent advancements in artificial intelligence (AI)-powered technologies, particularly ChatGPT, have sparked significant interest English as a Foreign Language (EFL) education. This review aims to explore the landscape of ChatGPT's application EFL writing. Design/Approach/Method Given nascence this field, study conducts scoping by analyzing 16 empirical studies published before December 2023 investigate role ChatGPT Findings The explores current and potential uses writing, highlighting its dual both writing assistant an assessment tool. On one hand, is widely acknowledged for providing real-time feedback that enhances quality efficiency. other challenges concerns remain prevalent. Originality/Value findings reveal key gaps literature, such need more interdisciplinary research, adaptation AI models meet linguistic cultural needs learners, integration multimodal tools. emphasizes importance critical thinking information literacy training educators students while addressing ethical considerations. These insights offer roadmap future research practical implementation language education, valuable guidance different stakeholders.

Language: Английский

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A review on enhancing education with AI: exploring the potential of ChatGPT, Bard, and generative AI

Discover Education, Journal Year: 2025, Volume and Issue: 4(1)

Published: Feb. 18, 2025

Language: Английский

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The potential of Large Language Models for social robots in special education

Progress in Artificial Intelligence, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

Language: Английский

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Large Language Models as an Assistant to Interpret UML Models in Model-Based Engineering: An Exploratory Study

Published: Jan. 1, 2025

Language: Английский

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Enhancing thermal comfort through leading-edge design, monitoring, and optimization technologies: A review

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

This research paper offers a thorough examination of strategies geared towards enhancing thermal comfort within constructed spaces through the incorporation state-of-the-art design, monitoring, and optimization technologies. In light escalating challenges brought about by climate change increasing demand for sustainable energy-efficient building solutions, quest improved has emerged as central focus in architectural engineering research. The initiates its exploration delving into contemporary design principles that underscore significance passive strategies, such optimal orientation, shading devices, natural ventilation. It elucidates synergies between elements comfort, emphasizing how innovative designs can foster ideal indoor conditions while reducing reliance on energy-intensive heating, ventilation, air conditioning (HVAC) systems. A substantial segment review is dedicated to monitoring technologies enabling real-time assessment environmental parameters. integration sensors, data analytics, Building Information Modelling (BIM) facilitates nuanced comprehension dynamics, allowing adaptive responses evolving conditions. discusses role wearable devices occupant feedback systems capturing subjective perceptions, thereby enriching pool more comprehensive analysis. Moreover, delves burgeoning field technologies, encompassing utilization machine learning algorithms artificial intelligence management These empower predictive modeling optimizing HVAC operations, minimizing energy consumption. synthesis these not only enhances well-being but also aligns with global endeavours forge resilient built environments amid challenges.

Language: Английский

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