This study investigates how Generative Artificial Intelligence Supported Entrepreneurship Education (GAISEE) influences university students' entrepreneurial intentions through a quantitative analysis of Chinese higher education institutions. Using st...
This study investigates the influence of generative artificial intelligence (GAI) on university students' learning outcomes, employing a technology-mediated learning perspective. We developed and empirically tested an integrated model, grounded in in...
PURPOSE: This study examines how social support influences adolescents' autonomous physical learning behavior, exploring the mediating roles of self-efficacy and exercise motivation, and the moderating effects of gender and behavioral typologies. The...
This paper explores the relationship between Artificial Intelligence (AI) integration in the workplace, cultural orientation, and its impact on job autonomy and creative self-efficacy. Our study employs a mixed-method experimental design across 480 i...
As in many other sectors, artificial intelligence has an impact on health. Artificial intelligence anxiety may occur because of a lack of knowledge about the effects of artificial intelligence, its outcomes, and how it will be used, as well as potent...
BACKGROUND: Chronic obstructive pulmonary disease (COPD), marked by dyspnea, cough, and sputum production, significantly impairs patients' quality of life and functionality. Effective management strategies, particularly those empowering patients to m...
As artificial intelligence (AI) technology quickly grows, college students have new worries and fears. Using Marx's theory of labour alienation, this study explores the complex relationship between college students' job-seeking anxiety (JSA) and care...
As AI is expected to take on the role of providing workplace feedback to employees in the future, understanding how AI and humans can complement effectively in this context is crucial. This study explores this through a randomized controlled experime...
This study examines the complex relationships among artificial intelligence (AI) adoption in organizations, employee work overload, and pro-environmental behavior at work (PEBW), while examining the moderating role of self-efficacy in AI learning. Dr...
BACKGROUND: The integration of Artificial Intelligence (AI) into daily life raises significant challenges and uncertainties, notably concerning job security and skill relevance. This has led to the emergence of 'AI anxiety'-a stress response to poten...
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