Investigating Students’ Perceptions towards Artificial Intelligence in Medical Education

Healthcare, Год журнала: 2023, Номер 11(9), С. 1298 - 1298

Опубликована: Май 1, 2023

Implementing a reform in medical education requires students' awareness regarding the importance of artificial intelligence (AI) modern practice. The objective this study was to investigate perceptions AI education. A cross-sectional survey conducted from June 2021 November using an online questionnaire collect data students Faculty Medicine at Kuwait University, Kuwait. response rate for 51%, with sample size 352. Most (349 (99.1%)) agreed that would play important role healthcare. More than half (213 (60.5%)) understood basic principles AI, and (329 (93.4%)) showed comfort terminology. Many (83.5%)) believed learning about benefit their careers, (289 (82.1%)) should receive teaching or training. revealed most had positive AI. Undoubtedly, future medicine will be significant, AI-based practice is required. There strong consensus not replace doctors but drastically transform healthcare practices.

Язык: Английский

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Comprehension, apprehension, and acceptance: Understanding the influence of literacy and anxiety on acceptance of artificial Intelligence

Technology in Society, Год журнала: 2024, Номер 77, С. 102537 - 102537

Опубликована: Март 29, 2024

Язык: Английский

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The impact of empowering internal auditors on the quality of electronic internal audits: A case of Jordanian listed services companies

International Journal of Information Management Data Insights, Год журнала: 2023, Номер 3(2), С. 100183 - 100183

Опубликована: Июнь 8, 2023

This study emphases on the top management empowerments to internal auditors, namely, general qualification, electronic qualification and independence, affecting quality of audits in Jordanian Listed Service Companies.This paper used 144 usable questionnaires from auditors listed service companies.The gathered data were analysed utilizing "Statistical Package for Social Sciences (SPSS)''.The results reveal that independence have a significant effect audits, as supported by resource-based view.Due importance companies' sector context Jordan, are helpful audit profession decision makers offering new legislation profession.Future research may consider other factors hinder such task complexity or organizational culture.

Язык: Английский

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Exploring the impact of artificial intelligence on higher education: The dynamics of ethical, social, and educational implications

Humanities and Social Sciences Communications, Год журнала: 2024, Номер 11(1)

Опубликована: Июль 13, 2024

Abstract The increasing prevalence of Artificial Intelligence (AI) in higher education underscores the necessity to explore its implications on ethical, social, and educational dynamics within sector. This study aims comprehensively investigate impact AI Saudi Arabia, delving into stakeholders’ attitudes, perceptions, expectations regarding implementation. research hones key facets education, encompassing influence teaching learning, ethical social implications, anticipated role future. Employing a quantitative approach through an online survey questionnaire ( N = 1113), this reveals positive attitudes toward education. Stakeholders recognize potential enhance streamline administration, foster innovation. Emphasis is placed considerations guidelines for implementation, highlighting imperative need address issues such as privacy, security, bias. Participants envision future characterized by personalized learning experiences, ethically integrated AI, collaboration, ongoing support lifelong learning. Furthermore, results illuminate intricate interplay between usage, purposes, difficulties, their implications. Accordingly, comprehensive understanding integration, considering not only technical aspects but also dimensions. By acknowledging uses, usage addressing associated stakeholders can work towards harnessing benefits while ensuring responsible effective implementation contexts.

Язык: Английский

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Investigating AI-based academic support acceptance and its impact on students’ performance in Malaysian and Pakistani higher education institutions

Education and Information Technologies, Год журнала: 2024, Номер 29(14), С. 18695 - 18744

Опубликована: Март 14, 2024

Язык: Английский

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Exploring STEAM teachers’ trust in AI-based educational technologies: a structural equation modelling approach

Discover Education, Год журнала: 2024, Номер 3(1)

Опубликована: Апрель 26, 2024

Abstract In the rapidly evolving landscape of education, Artificial Intelligence (AI) has emerged as a transformative tool with potential to revolutionize teaching and learning processes. However, successful integration AI in education depends on trust acceptance teachers. This study addresses significant gap research by investigating dynamics 677 in-service Science, Technology, Engineering, Arts, Mathematics (STEAM) teachers Nigeria towards AI-based educational technologies. Employing structural equation modelling for data analysis, our findings reveal that anxiety, preferred methods increase trust, perceived benefits significantly influence teachers' edtech. Notably, lack human characteristics does not impact among STEAM Additionally, reports gender moderation effect AI. These insights are valuable policymakers stakeholders aiming create an inclusive, AI-enriched instructional environment. The results underscore importance continuous professional development programs teachers, emphasizing hands-on experiences build sustain confidence integrating tools effectively, thus fostering potentials education.

Язык: Английский

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An integrated bibliometric analysis and systematic review modelling students’ technostress in higher education

Behaviour and Information Technology, Год журнала: 2024, Номер unknown, С. 1 - 25

Опубликована: Март 25, 2024

Technology integration in higher education has been widely recognised for its multifarious benefits. Nevertheless, arising from various factors, the prevalence of technostress poses a substantial impediment to learning effectiveness. In response, this study employs visualisation analysis and systematic review techniques formulate comprehensive model that encompasses variables related technostress. Based on selection 1,861 publications, 83 publications were included predictors outcomes higher-education students' Our findings reveal COVID-19 pandemic spurred growing academic interest technostress, owing concerns about stressful anxious nature remote learning. Existing research topic predominantly relies technology acceptance models theories, with ongoing expansions incorporating multiple domains. particular, external factors assume pivotal roles as along subdimensions The impact can be observed aspects, such experiences performance outcomes. provide valuable insights future endeavours, facilitating further exploration informing technology-enhanced teaching practice.

Язык: Английский

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Risks of AI-Assisted Learning on Student Critical Thinking

International Journal of Risk and Contingency Management, Год журнала: 2024, Номер 12(1), С. 1 - 19

Опубликована: Авг. 5, 2024

Artificial Intelligence (AI) has increasingly become a transformative force in the education sector, offering unprecedented opportunities to enhance learning experiences and outcomes. This study examines potential adverse effects of AI-assisted on critical cognitive skills, particularly thinking problem-solving, within context Albania's educational landscape. Employing quantitative methodology, survey 53 students was conducted across various institutions Albania gather data their perceptions regarding learning. The findings indicate no significant difference skills between with prior exposure AI tools those without. However, there is statistically negative correlation reliance for assignments students' problem-solving suggesting that excessive dependence can hinder development independent abilities. Conversely, strong positive found frequency tool usage academic performance assignment efficiency, highlighting benefits enhancing these aspects experience. These results emphasize need balanced integration ensure they complement rather than replace traditional methods. study's have implications educators policymakers, while certain outcomes, it essential address its risks promote skills. Future research should focus larger, more diverse samples, incorporate objective measures explore long-term impacts

Язык: Английский

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Fear of the new technology: Investigating the factors that influence individual attitudes toward generative Artificial Intelligence (AI)

Current Psychology, Год журнала: 2025, Номер unknown

Опубликована: Фев. 17, 2025

Язык: Английский

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Investigating the Effect of Perceived Security, Perceived Trust, and Information Quality on Mobile Payment Usage through Near-Field Communication (NFC) in Saudi Arabia

Electronics, Год журнала: 2022, Номер 11(23), С. 3926 - 3926

Опубликована: Ноя. 28, 2022

This study aims to investigate the perceptions of near-field communication (NFC) usage for mobile payments in Saudi Arabia. In order develop a mathematical framework acceptance NFC quality information payments, researchers have combined technological model (TAM) and idea perceived risk. An online physical 1217 portable credit card holders Arabia was conducted. Exploratory confirmatory analyses were utilized analyze factor structure measurement items, Smart PLS 2.0 from structural equation modeling (SEM) used assess theories hypotheses that had been put forth. The results show (1) social influence, element risk, subjective norms each negative influence on preconceptions trust payment methods using NFC; (2) all positive effect satisfaction with security electronic (3) ease use has confidence digital (4) NFC. As consequence these findings, users’ attitudes regarding behavioral intentions utilize can be revealed. created unique approach assessing perceptions, trust, uptake consequence, banks may find this research useful as they implement new strategies attract more customers, such security, brand adaption.

Язык: Английский

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