Leveraging Artificial Intelligence Tools for Learning DOI

Edwin Okumu Ogalo,

Fredrick Mtenzi

Advances in educational technologies and instructional design book series, Год журнала: 2024, Номер unknown, С. 1 - 36

Опубликована: Окт. 18, 2024

The emergence of Large Language Models like ChatGPT has come with the promise to transform education. However, its advent ushered in a new era unprecedented opportunities and ethical challenges. This paper explores dynamic nexus between artificial intelligence, ethics, academic integrity higher study involved theoretical review that largely utilized secondary data utilizing up-to-date methodical meta-analysis literature assessments personal reflections on practical application featuring ChatGPT's use among master's students at Aga Khan University. revealed intelligence tools have potential improve pedagogy promote learning. it presents significant concerns associated maintaining integrity, including risk plagiarism, stifling critical thinking, privacy. recommends balanced, responsible approach, supported by clear guidelines, frameworks, ongoing research explore benefits intelligence.

Язык: Английский

Geospatial Technologies for Smart Cities DOI

Amit Sai Jitta,

Vijaya Kittu Manda, Theodore Tarnanidis

и другие.

Advances in geospatial technologies book series, Год журнала: 2024, Номер unknown, С. 103 - 136

Опубликована: Дек. 2, 2024

Geospatial technologies, both traditional and modern have changed the way spatial data is collected, stored, processed, analyzed, visualized for decision-making in Smart cities. Popular geospatial technologies are information systems (GIS), remote sensing, global positioning (GPS). Computing undergone rapid development recent times. Artificial Intelligence (AI), Internet of Things (IoT), Big Data, others used alongside improved by city planners administrators. These help cities offer various services to citizens, promote a circular economy, be sustainable. Real-time processing predictive analytics proactively manage infrastructure, optimize resource allocation, enhance overall urban resilience. The chapter novel its comprehensive overview smart cities, integrating emphasizing significance visualization.

Язык: Английский

Процитировано

4
Designing Resilient and Autonomous Systems for Smart Infrastructure: Advancing Reliability, Efficiency, and Sustainability in Modern Networks DOI
Defne Temel

Next frontier., Год журнала: 2025, Номер 8(1), С. 211 - 211

Опубликована: Янв. 8, 2025

The design of resilient and autonomous systems for smart infrastructure represents a critical advancement in modern networked systems, addressing the growing need reliability, efficiency, sustainability urban industrial applications. This research investigates integration advanced technologies, including artificial intelligence (AI), machine learning (ML), Internet Things (IoT)-enabled devices, to develop robust capable real-time monitoring, self-optimization, fault-tolerant operations. By emphasizing decentralized architectures, adaptive system design, intelligent data analytics, this study explores solutions enhancing performance reliability dynamic complex environments. Additionally, considers role sustainability, examining how can reduce resource consumption, optimize maintenance processes, support long-term ecological goals. work provides comprehensive framework implementation key challenges such as scalability, interoperability, security. findings offer transformative insights various sectors, transportation, planning, automation.

Язык: Английский

Процитировано

0
An Innovative Framework for Incorporating iPhone LiDAR Point Cloud in Digitized Documentation of Road Operations DOI Creative Commons
Srikulnath Nilnoree, Tsukasa Mizutani

Results in Engineering, Год журнала: 2025, Номер unknown, С. 103953 - 103953

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
AnomLite: Efficient Binary and Multiclass Video Anomaly Detection DOI Creative Commons

Anna K. Zvereva,

M. S. Kaprielova,

Andrey Grabovoy

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104162 - 104162

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Strategies for sustainable road transport: Technological innovation and organizational management through AI DOI
Yang Liu,

Dequn Zhou,

Cheng Wu

и другие.

Transportation Research Part D Transport and Environment, Год журнала: 2025, Номер 141, С. 104651 - 104651

Опубликована: Фев. 19, 2025

Язык: Английский

Процитировано

0
Strategies for Cost-Effective Implementation of AI in Project Management DOI
Rachit Agarwal, Tanya Kumar, Ramneek Ahluwalia

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 227 - 248

Опубликована: Март 21, 2025

In the evolving landscape of project management, integrating Artificial Intelligence (AI) offers entrepreneurs unprecedented opportunities to enhance operational efficiency, mitigate risks, and achieve strategic goals. This book chapter explores key strategies optimise return on investment (ROI) through cost-effective implementation AI in management. The case study approach represents how can flexibility cost savings by adopting cloud-based services for planning, resource performance analysis. Furthermore, role predictive analytics machine learning algorithms optimizing outcomes minimizing expenses. Moreover, emerging trends future directions AI-driven including advancements natural language processing autonomous management systems. conclusion, this provides with practical achieving

Язык: Английский

Процитировано

0
A Descriptive Analysis of Significant Factors Influencing the Behavioral Intention to Adopt Robot Kiosks/Service Robots in Service Stores: Integrating the UTAUT and Higher-Order SERVQUAL Approach DOI Creative Commons

Dioseph Andre F. Anduyo,

Ardvin Kester S. Ong, Maela Madel L. Cahigas

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 105029 - 105029

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
The Emerging Role of Artificial Intelligence in Enhancing Energy Efficiency and Reducing GHG Emissions in Transport Systems DOI Creative Commons
Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka

и другие.

Energies, Год журнала: 2024, Номер 17(24), С. 6271 - 6271

Опубликована: Дек. 12, 2024

The global transport sector, a significant contributor to energy consumption and greenhouse gas (GHG) emissions, requires innovative solutions meet sustainability goals. Artificial intelligence (AI) has emerged as transformative technology, offering opportunities enhance efficiency reduce GHG emissions in systems. This study provides comprehensive review of AI’s role optimizing vehicle management, traffic flow, alternative fuel technologies, such hydrogen cells biofuels. It explores potential drive advancements electric autonomous vehicles, shared mobility, smart transportation economic analysis demonstrates the viability AI-enhanced transport, considering Total Cost Ownership (TCO) cost-benefit outcomes. However, challenges data quality, computational demands, system integration, ethical concerns must be addressed fully harness potential. also highlights policy implications AI adoption, underscoring need for supportive regulatory frameworks policies that promote innovation while ensuring safety fairness.

Язык: Английский

Процитировано

2
Traffic Light Detection for Nighttime Driving with Log-Polar Transform Incorporated Learning DOI Creative Commons
Huei‐Yung Lin,

Mu‐Yun Tsai

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103783 - 103783

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

1
Leveraging Artificial Intelligence Tools for Learning DOI

Edwin Okumu Ogalo,

Fredrick Mtenzi

Advances in educational technologies and instructional design book series, Год журнала: 2024, Номер unknown, С. 1 - 36

Опубликована: Окт. 18, 2024

The emergence of Large Language Models like ChatGPT has come with the promise to transform education. However, its advent ushered in a new era unprecedented opportunities and ethical challenges. This paper explores dynamic nexus between artificial intelligence, ethics, academic integrity higher study involved theoretical review that largely utilized secondary data utilizing up-to-date methodical meta-analysis literature assessments personal reflections on practical application featuring ChatGPT's use among master's students at Aga Khan University. revealed intelligence tools have potential improve pedagogy promote learning. it presents significant concerns associated maintaining integrity, including risk plagiarism, stifling critical thinking, privacy. recommends balanced, responsible approach, supported by clear guidelines, frameworks, ongoing research explore benefits intelligence.

Язык: Английский

Процитировано

0