In generative artificial intelligence we trust: unpacking determinants and outcomes for cognitive trust DOI Creative Commons
Minh-Tay Huynh, Thomas Aichner

AI & Society, Год журнала: 2025, Номер unknown

Опубликована: Май 6, 2025

Язык: Английский

Opportunities, Challenges, and Strategies for Integrating Generative Artificial Intelligence in Teaching and Learning in Higher Education DOI

Mina Ghassan Radhwan

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 103 - 124

Опубликована: Март 13, 2025

Generative Artificial Intelligence (GenAI) is a transformative force that has revolutionized education, especially in the higher education sector. The integration of GenAI generated paradigm shift teaching and learning, offering both arduous challenges previously unheard-of opportunities. GenAI's potential vast. By implementing using various learning tools strategies, educators can better plan sessions to meet student needs. Using algorithms data, produce original content enhances conventional techniques creates more dynamic customized environment. Findings from literature review highlight advantages, challenges, suggested solutions for effectively integrating education. It provides insights will guide future research efforts understand full implications also offers valuable researchers, educators, policymakers interested relationship between

Язык: Английский

Процитировано

0

GDP per capita vs foreign direct investment: key drivers of a country's technological leadership DOI Creative Commons
Aleksy Kwiliński

Technological and Economic Development of Economy, Год журнала: 2025, Номер 0(0), С. 1 - 25

Опубликована: Март 17, 2025

This study aims to test the hypothesis that countries with high GDP per capita achieve technological leadership not primarily due their domestic production capacity but through inflow of foreign direct investment (FDI). The research covers 21 developed across Western Europe, Americas, Asia, Africa, and Australia, for period 2011 2022. Bartlett test, Kaiser-Meyer-Olkin (KMO) criterion, exploratory factor analysis (EFA) were employed identify most relevant indicators study. A true fixed-effects stochastic frontier model was applied panel data, based on Cobb-Doug- las function translogarithmic function, evaluate determinants development technical efficiency. Fourteen techno- logical used as independent variables, while five key economic included adjustment variables. Research expenditure served dependent variable. Three models constructed, incorporating variables such capita, FDI net inflows, outflows. findings provide valuable insights

Язык: Английский

Процитировано

0

Generative AI on innovation performance of construction enterprises: A knowledge-based dynamic capabilities perspective DOI
Shi Qiao, Zhiwei Liu, Jie Wu

и другие.

Journal of Engineering and Technology Management, Год журнала: 2025, Номер 76, С. 101871 - 101871

Опубликована: Март 24, 2025

Язык: Английский

Процитировано

0

ChatGPT's Impact on Ethical Hacking and Cybersecurity DOI

Rahaf Adam Alnuaimi,

Moatsum Alawida, Manal Al-Rawashdeh

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 573 - 608

Опубликована: Май 1, 2025

As cyber threats grow, leveraging tools like ChatGPT offers a strategic advantage in ethical hacking and cybersecurity. This chapter examines ChatGPT's potential enhancing skills through scenario-based learning, topic exploration, critical evaluation of its responses. A questionnaire with ten questions on tools, techniques, certifications, hacker psychology was answered by 20 experts. While feedback operating systems cybersecurity principles positive, some questioned the practicality moderate recommendations. Statistical analysis showed Cronbach's alpha 0.878, indicating high internal consistency, overall positive The underscores value tracking trends, methodologies while acknowledging practical limitations.

Язык: Английский

Процитировано

0

In generative artificial intelligence we trust: unpacking determinants and outcomes for cognitive trust DOI Creative Commons
Minh-Tay Huynh, Thomas Aichner

AI & Society, Год журнала: 2025, Номер unknown

Опубликована: Май 6, 2025

Язык: Английский

Процитировано

0