AI Anxiety: a comprehensive analysis of psychological factors and interventions DOI
Jeff J. H. Kim,

Jun Young Soh,

Shrinidhi Kadkol

et al.

AI and Ethics, Journal Year: 2025, Volume and Issue: unknown

Published: March 14, 2025

Language: Английский

Investigating Students’ Perceptions towards Artificial Intelligence in Medical Education DOI Open Access
Ali Jasem Buabbas, Brouj Miskin,

Amar Ali Alnaqi

et al.

Healthcare, Journal Year: 2023, Volume and Issue: 11(9), P. 1298 - 1298

Published: May 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.

Language: Английский

Citations

60

Comprehension, apprehension, and acceptance: Understanding the influence of literacy and anxiety on acceptance of artificial Intelligence DOI
Gianluca Schiavo, Stefano Businaro, Massimo Zancanaro

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: 77, P. 102537 - 102537

Published: March 29, 2024

Language: Английский

Citations

60

The impact of empowering internal auditors on the quality of electronic internal audits: A case of Jordanian listed services companies DOI Creative Commons
Mohammad Zakaria AlQudah, Abdalwali Lutfi, Shadi Habis Abualoush

et al.

International Journal of Information Management Data Insights, Journal Year: 2023, Volume and Issue: 3(2), P. 100183 - 100183

Published: June 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.

Language: Английский

Citations

49

Exploring the impact of artificial intelligence on higher education: The dynamics of ethical, social, and educational implications DOI Creative Commons
Abdulrahman M. Al-Zahrani, Talal Alasmari

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: July 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.

Language: Английский

Citations

42

Investigating AI-based academic support acceptance and its impact on students’ performance in Malaysian and Pakistani higher education institutions DOI
Nisar Ahmed Dahri, Noraffandy Yahaya, Waleed Mugahed Al-Rahmi

et al.

Education and Information Technologies, Journal Year: 2024, Volume and Issue: 29(14), P. 18695 - 18744

Published: March 14, 2024

Language: Английский

Citations

41

Exploring STEAM teachers’ trust in AI-based educational technologies: a structural equation modelling approach DOI Creative Commons
Musa Adekunle Ayanwale, Owolabi Paul Adelana,

Tolulope Timothy Odufuwa

et al.

Discover Education, Journal Year: 2024, Volume and Issue: 3(1)

Published: April 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.

Language: Английский

Citations

27

An integrated bibliometric analysis and systematic review modelling students’ technostress in higher education DOI
Lin Yu-peng, Zhonggen Yu

Behaviour and Information Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 25

Published: March 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.

Language: Английский

Citations

19

Risks of AI-Assisted Learning on Student Critical Thinking DOI Creative Commons
Eriona Çela, Mathias Fonkam, Rajasekhara Mouly Potluri

et al.

International Journal of Risk and Contingency Management, Journal Year: 2024, Volume and Issue: 12(1), P. 1 - 19

Published: Aug. 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

Language: Английский

Citations

19

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

Bojan Obrenovic,

Xiao Gu

et al.

Current Psychology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 17, 2025

Language: Английский

Citations

3

Investigating the Effect of Perceived Security, Perceived Trust, and Information Quality on Mobile Payment Usage through Near-Field Communication (NFC) in Saudi Arabia DOI Open Access
Mohammed Amin Almaiah, Ali Mugahed Al-Rahmi, Fahad Alturise

et al.

Electronics, Journal Year: 2022, Volume and Issue: 11(23), P. 3926 - 3926

Published: Nov. 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.

Language: Английский

Citations

56