Exploring the Implications of Emerging Artificial Intelligence Technologies at Edge Computing in Higher Education

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 169 - 182

Published: June 3, 2024

In this chapter, the effects of cutting-edge artificial intelligence (AI) technologies at edge computing are examined in higher education. Edge offers a decentralized method which processing is done near data source. Due to less network traffic, response times can be quicker. AI technology implemented offer instructors and students intelligent individualized services. The chapter addresses advantages education, including enhanced student involvement, better learning results, simplified administrative procedures. It also looks difficulties implementing edge, such as privacy security issues. To fully fulfill potential AI, article's conclusion emphasizes necessity for additional study field.

Language: Английский

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Navigating the clouds: Cultural influences on technology acceptance in the workplace

Technology in Society, Journal Year: 2024, Volume and Issue: 77, P. 102553 - 102553

Published: April 17, 2024

Language: Английский

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Exploring behavioral determinants of residents’ ecological conservation in rural tourism development

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 13, 2025

This study explores the residents' behavioral determinants of ecological conservation in rural tourism development, focusing on resident participation to promote sustainable development industry. By integrating Theory Planned Behavior (TPB) and Norm Activation Model (NAM), it examines roles subjective norm, responsibility attribution, environmental risk perception, human capital shaping behavior. Based data from 331 valid responses collected through a questionnaire survey, structural equation model (SEM) was performed using SPSS AMOS analyze The findings reveal that norm attribution significantly enhance protection intention, which subsequently boosts relationship between behavior is mediated by while perception positively moderates norm-behavior relationship. Additionally, intention-behavior Significant differences were found based gender age, with men women, as well different age groups, responding uniquely intention perception. To targeted policy recommendations put forward.

Language: Английский

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A Bibliometric Analysis on Artificial Intelligence in the Production Process of Small and Medium Enterprises

AI, Journal Year: 2025, Volume and Issue: 6(3), P. 54 - 54

Published: March 12, 2025

Industry 4.0 represents the main paradigm currently bringing great innovation in field of automation and data exchange among production technologies, according to principles interoperability, virtualization, decentralization flexibility. The Fourth Industrial Revolution is driven by structural changes manufacturing sector, such as demand for customized products, market volatility sustainability goals, integration artificial intelligence Big Data. This work aims analyze, from a bibliometric point view journal papers on Scopus, with no time limitation, existing literature application AI SMEs, which are crucial elements industrial economic fabric many countries. However, adoption modern particularly AI, can be challenging them, due intrinsic structure this type enterprise, despite positive effects obtained large organizations.

Language: Английский

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Study of Knowledge Management Technologies Impact on Sustainable Higher Education Institutions Performance

Journal of the Knowledge Economy, Journal Year: 2025, Volume and Issue: unknown

Published: March 25, 2025

Language: Английский

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Adoption of AI in Construction Design: Insights from UTAUT2 and TOE Frameworks

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104981 - 104981

Published: April 1, 2025

Language: Английский

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Exploring Factors Influencing Gen Z's Acceptance and Adoption of AI and Cloud-Based Applications and Tools in Academic Attainment

Emerging Science Journal, Journal Year: 2024, Volume and Issue: 8(3), P. 815 - 836

Published: June 1, 2024

Generation Z faces diverse challenges in education amidst the swift evolution of technology. This study investigates factors shaping Z's acceptance and adoption AI Cloud-based applications Oman's higher sector. Despite limited attention to this area Oman Gulf Cooperative Council countries (GCC), research addresses gap by employing Unified Theory Acceptance Use Technology (UTAUT) framework, recognized for its effectiveness understanding technology adoption. Through a quantitative approach, students Omani institutions were surveyed, SmartPLS was utilized analysis. Results indicate significant positive relationship between all UTAUT antecedent factors, with Performance Expectancy being non-significant. offers novel insights into global understandings learning trends education, aiming enhance pedagogical approaches. Notably, it pioneers such efforts within GCC context. Recommendations similar other are provided enrich regional perspectives. Limitations future directions addressed, emphasizing importance comprehending interaction advance educational practices digital age. Doi: 10.28991/ESJ-2024-08-03-02 Full Text: PDF

Language: Английский

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The butterfly effect of cloud computing on the low-carbon economy

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 204, P. 123433 - 123433

Published: May 4, 2024

Language: Английский

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Demystification of Generative Artificial Intelligence (AI) Literacy, Algorithmic Thinking, Cognitive Divide, Pedagogical knowledge: A Comprehensive Model

Published: Dec. 8, 2023

Language: Английский

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Analysis of cloud computing-based education platforms using unsupervised random forest

Education and Information Technologies, Journal Year: 2024, Volume and Issue: 29(12), P. 15905 - 15932

Published: Feb. 5, 2024

Language: Английский

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