Опубликована: Ноя. 8, 2024
Язык: Английский
Technology in Society, Год журнала: 2024, Номер 77, С. 102521 - 102521
Опубликована: Март 25, 2024
Drawing on the Theory of Planned Behaviour (TPB), this study investigates relationship between perceived benefits, strengths, weaknesses, and risks generative AI (GenAI) tools fundamental factors TPB model (i.e., attitude, subjective norms, behavioural control). The also structural association variables intention to use GenAI tools, how latter might affect actual usage in higher education. paper adopts a quantitative approach, relying an anonymous self-administered online questionnaire gather primary data from 130 lecturers 168 students education institutions (HEIs) several countries, PLS-SEM for analysis. results indicate that although lecturers' students' perceptions weaknesses differ, strengths advantages technologies have significant positive impact their attitudes, control. core positively significantly intentions which turn adoption such tools. This advances theory by outlining shaping HEIs. It provides stakeholders with variety managerial policy implications formulate suitable rules regulations utilise these while mitigating impacts disadvantages. Limitations future research opportunities are outlined.
Язык: Английский
Процитировано
69
Journal of Computers in Education, Год журнала: 2024, Номер unknown
Опубликована: Авг. 27, 2024
Язык: Английский
Процитировано
11
Heliyon, Год журнала: 2024, Номер 10(19), С. e38315 - e38315
Опубликована: Сен. 30, 2024
Язык: Английский
Процитировано
8
Sustainability, Год журнала: 2025, Номер 17(6), С. 2474 - 2474
Опубликована: Март 12, 2025
This study examines the influence of environmental concerns on water conservation behaviors among Gen Z tourists in Iranian desert regions by extending Norm Activation Theory (NAT). Adopting a quantitative approach, data were collected through structured questionnaire from 330 (born between 1997 and 2012) who visited four villages (Qale Bala, Mesr, Abyaneh, Rezaabad) April July 2023. Using systematic sampling, every fifth tourist was selected. Data analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results show that concerns, situational responsibility, personal norms positively impact behaviors, while denial responsibility negatively affects them. Personal pride guilt emotions, which turn promote behaviors. The extended model, incorporating demonstrated improved explanatory power over original NAT. research contributes to sustainable tourism literature integrating moral emotions into NAT framework, offering insights psychological mechanisms driving pro-environmental environments.
Язык: Английский
Процитировано
0
BMC Medical Education, Год журнала: 2025, Номер 25(1)
Опубликована: Янв. 31, 2025
This study explores the acceptance of artificial intelligence(AI) tools in medical students and its influencing factors, thus providing theoretical basis practical guidance for construction future learning centers universities. comprehensively applied unified theory use technology(UTAUT), expectancy confirmation (ECT), innovation diffusion (IDT) to analyze data through structural equation modeling. Effort (EE), facilitating condition (FC), social influence (SI), satisfaction (SA) significantly students' continuance intention (CI) intelligence tools. Relative advantage (RA) has a significant impact on with Personal innovativeness (PI) plays positive moderating role relationships between (FC) (CI), as well (CI). The AI-based universities should attach importance personalized paths, ensuring technical support training, creating collaborative innovative environment, showcasing comparative
Язык: Английский
Процитировано
0
Contemporary Educational Technology, Год журнала: 2025, Номер 17(2), С. ep571 - ep571
Опубликована: Фев. 24, 2025
Generative artificial intelligence (GAI) technologies are gaining traction in higher education, offering potential benefits such as personalized learning support and enhanced productivity. However, successful integration requires understanding the factors influencing students’ adoption of these emerging tools. This study investigates determinants shaping education GAI through lens unified theory acceptance use technology 2 framework. Data was collected from Pyatigorsk State University students analyzed using structural equation modeling. The findings reveal habit (HB) most influential predictor among students, followed by performance expectancy. Hedonic motivation, social influence (SI), price value positively influenced behavioral intention (BI) to technologies. Surprisingly, facilitating conditions (FCs) exhibited a negative effect on BI, suggesting gaps systems. identifies no significant gender differences underlying driving adoption. Based results, recommendations provided foster HB formation, communicate benefits, enhance hedonic appeal, leverage SI, address concerns, strengthen FCs. Potential limitations include cross-sectional nature data, geographic constraints, reliance self-reported measures, lack consideration for individual moderators. research contributes growing body knowledge educational contexts, insights guide institutions responsibly integrating innovative tools while addressing student needs promoting improved outcomes.
Язык: Английский
Процитировано
0
Online Information Review, Год журнала: 2025, Номер unknown
Опубликована: Фев. 26, 2025
Purpose This study addresses the remarkable research gap in existing literature on Chat Generative Pre-training Transformer (ChatGPT), which has primarily explored its functional benefits rather than psychological states of users. By integrating self-concept theory and attitudes, this develops a moderated-mediating model to examine impact bandwagon effect users’ habit formation subsequent feelings pride associated with ChatGPT application. Design/methodology/approach analyzed self-reported survey data from 568 respondents mainland China using partial least squares structural equation modeling. Findings The findings reveal that indirectly influences through habits related applications. also identifies boundary condition social-adjustive attitude, strengthens both direct relationship between indirect pride. Originality/value contributes field by offering novel perspective adoption, highlighting role attitudinal functions driving intentions utilize technology, focus desire for as motivating factor.
Язык: Английский
Процитировано
0
Education and Information Technologies, Год журнала: 2025, Номер unknown
Опубликована: Март 20, 2025
Язык: Английский
Процитировано
0
Behaviour and Information Technology, Год журнала: 2025, Номер unknown, С. 1 - 23
Опубликована: Апрель 9, 2025
Язык: Английский
Процитировано
0
Education Sciences, Год журнала: 2025, Номер 15(4), С. 501 - 501
Опубликована: Апрель 16, 2025
This study investigates the perceptions of generative artificial intelligence (GenAI) tools, such as ChatGPT, among students and academics at Sultan Qaboos University (SQU) within context higher education in Oman. Using Technology Acceptance Model (TAM), it explores five key dimensions: actual use (AU), ease (EU), perceived usefulness (PU), challenges (PC), intention to (IU). Data collected from 555 168 provide valuable insights into opportunities associated with adoption GenAI based on results a t-test. The findings reveal notable differences between regarding their tools across all TAM variables. Students report frequent for academic support, including personalized learning, brainstorming, completing assignments, while highlight its role developing learning materials, assessments, lesson plans, customizing content. Both groups recognize potential enhance efficiency innovation practices. However, concerns arise over-reliance GenAI, diminished critical thinking creativity, integrity risks. Academics consistently express greater about these than students, particularly plagiarism, misconduct, GenAI. Despite challenges, majority indicate willingness continue using tools. contrast underscores need tailored interventions address distinct academics. These regulatory frameworks, comprehensive institutional guidelines, targeted training programs ensure ethical responsible technologies. By addressing areas, institutions Oman can leverage safeguarding fostering essential skills creativity.
Язык: Английский
Процитировано
0