Air Quality Atmosphere & Health, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 11, 2024
Язык: Английский
Advances in business strategy and competitive advantage book series, Год журнала: 2025, Номер unknown, С. 1 - 20
Опубликована: Янв. 24, 2025
The study proposes using AI in environmental education to promote sustainable learning that balances academic performance with responsibility. To persistent learning. We will encourage continuous these actions. This promotes eco-friendly education. Schools must produce environmentally conscious people who can address resource depletion and climate change. Environmentally friendly, AI-powered e-learning systems may assist schools improve utilisation, energy efficiency, customised All of are achievable e-learning. Several AI-based technologies tailor engage while lowering physical resources. Data-driven insights, adaptive learning, immersive virtual worlds. minimise carbon footprints enhance efficiency education, according this study. research approaches used. These demonstrate artificial intelligence settings, but there still challenges. Demand for qualified instructors large model consumption.
Язык: Английский
Процитировано
0
Journal of Educational Computing Research, Год журнала: 2025, Номер unknown
Опубликована: Апрель 17, 2025
This study addresses the gap in understanding graduate students’ sustained engagement behavior (SEB) with generative artificial intelligence (GAI) by integrating Technology Acceptance Model (TAM), Expectation Confirmation Theory (ECT), and of Reasoned Action (TRA) into a comprehensive embedding model. It introduces Readiness Index for Innovation (TRII) Perception-Oriented Learning Style (POLS) as key factors, analyzed through Structural Equation Modeling (SEM) Qualitative Comparative Analysis (QCA). Data from 862 students China were tested reliability validity. SEM results demonstrated that TRII significantly influences usage expectations (UE), effort expectancy (EE), performance (PE), SEB, cognitive affective factors mediating these relationships. QCA revealed multiple causal pathways leading to high highlighting principle equifinality. The integration provided insights dual pathways—implicit expectation development system processing—that shape GAI adoption, offering practical implications effective implementation higher education.
Язык: Английский
Процитировано
0
Aptisi Transactions On Technopreneurship (ATT), Год журнала: 2024, Номер 6(2), С. 149 - 168
Опубликована: Июль 10, 2024
Customer satisfaction (CST) is a critical focus for both public and private organizations due to its significant impact on business success. In this context, ethical sales behavior, perceived trust, customer loyalty, green experience are identified as key factors influencing CST. This study aims examine the relationships among these variables within sector in UAE. Primary data were collected from 224 respondents using structured questionnaire. The analysis was conducted utilizing descriptive statistics, multivariate assumptions, two-step approach that included measurement structural models. Structural equation modeling techniques employed test between variables, grounded Resource-Based View (RBV) expectation confirmation theory. findings reveal significantly positively firms However, behavior did not demonstrate direct effect satisfaction. These results provide valuable insights policymakers administrative representatives UAE sector. To enhance satisfaction, it recommended prioritize building trust loyalty while integrating practices into their operations. Although does directly affect remains crucial loyalty. underscores importance of driving offers practical recommendations aiming improve service quality relations.
Язык: Английский
Процитировано
1
Опубликована: Авг. 7, 2024
Язык: Английский
Процитировано
1
Опубликована: Авг. 7, 2024
Язык: Английский
Процитировано
1
Опубликована: Авг. 7, 2024
Язык: Английский
Процитировано
0
Опубликована: Авг. 7, 2024
Язык: Английский
Процитировано
0
Опубликована: Авг. 7, 2024
Язык: Английский
Процитировано
0
Опубликована: Авг. 7, 2024
Язык: Английский
Процитировано
0
Air Quality Atmosphere & Health, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 11, 2024
Язык: Английский
Процитировано
0