Exploring undergraduate students’ general attitudes towards Artificial Intelligence: A perspective from Vietnam DOI Creative Commons
Le Minh Tien

Journal of language and cultural education, Год журнала: 2024, Номер 12(3), С. 16 - 22

Опубликована: Дек. 1, 2024

Abstract Undergraduate students’ attitudes towards Artificial Intelligence (AI) in developing countries like Vietnam are rarely explored despite AI’s increasing presence higher education. This study aims to investigate the of undergraduate students AI. A quantitative research method was used, involving a self-reported survey questionnaire. The sample consisted 460 (196 males and 264 females) from five public private universities Ho Chi Minh City, Vietnam. Data collection took place through cross-sectional November December 2023. General Attitudes Towards Scale (GAAIS), originally developed validated English by Schepman Rodway (2020), adapted Vietnamese for this study. scale comprised 20 items evaluate analysis included descriptive statistics, Cronbach’s alpha coefficient, t-tests, one-way Analysis Variance (ANOVA). results indicated Alpha value 0.705 total variable, demonstrating acceptable reliability. Consequently, displayed moderately positive findings also revealed no significant difference based on gender, but there notable variation student’s year at university.

Язык: Английский

Artificial Intelligence in Nursing: New Opportunities and Challenges DOI Creative Commons
Estel·la Ramírez‐Baraldes, Daniel García‐Gutiérrez, Cristina García‐Salido

и другие.

European Journal of Education, Год журнала: 2025, Номер 60(1)

Опубликована: Янв. 31, 2025

ABSTRACT To explore the opportunities and challenges of artificial intelligence (AI) in nursing its impact. Bibliographic review using Arksey O'Malley's framework, enhanced by Levac, Colquhoun O'Brien following PRISMA guidelines, including qualitative mixed studies. MeSH terms keywords such as education ethical considerations were used databases PubMed, Scopus, Web Science, CINAHL, IEEE Xplore Google Scholar. Of all, 53 studies included, highlighting various AI integration for personalised learning, training improvement evaluation. Highlighting related to academic integrity, accuracy, data privacy security, development critical thinking skills. The offers significant advantages improving quality effectiveness education, equitable access, this reason, faculty should be geared toward education.

Язык: Английский

Процитировано

1
Exploring artificial intelligence knowledge, attitudes, and practices among nurses, faculty, and students in Saudi Arabia: A cross-sectional analysis DOI Creative Commons

Maria Elena M. Mariano,

Mahmoud Abdel Hameed Shahin,

Shangrila Joy Ancheta

и другие.

Social Sciences & Humanities Open, Год журнала: 2025, Номер 11, С. 101384 - 101384

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Influence of Attitude toward Artificial Intelligence (AI) on Job Performance with AI in Nurses DOI
Wilter C. Morales-García, Liset Z. Sairitupa-Sanchez, Alcides Flores Paredes

и другие.

Data & Metadata, Год журнала: 2025, Номер 4, С. 221 - 221

Опубликована: Янв. 13, 2025

AI has revolutionized the workplace, significantly impacting nursing profession. Attitudes toward AI, defined as workers’ perceptions and beliefs about its utility effectiveness, are critical for adoption efficient use in clinical settings. Factors such age, marital status, education level may influence this relationship, affecting job performance. This study examines of attitude on performance with among Peruvian nurses, while also assessing how sociodemographic characteristics moderate relationship. A descriptive cross-sectional design was used a sample 249 nurses aged 24 to 53 years (M = 35.58, SD 8.3). Data were collected using two validated scales: Brief Artificial Intelligence Job Performance Scale (BAIJPS) Attitude (AIAS-4). Descriptive statistics, Pearson correlations, multiple linear regression applied. significant positive correlation found between (r 0.43, p < 0.01). Age (β -0.177, 0.05), divorced status -8.144, 0.01), having bachelor’s degree -3.016, 0.05) negatively associated performance, being from Selva region had effect 4.182, 0.05). favorable positively influences nurses’ highlighting need interventions that enhance perception. Age, suggesting strategies should be tailored different demographic groups.

Язык: Английский

Процитировано

0
To Explore Nurses' Attitudes Towards Artificial Intelligence Technology: A Scoping Review DOI
Can Yang,

Ying He,

Penglong Li

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Predicting nursing students’ behavioral intentions to use AI: The interplay of ethical awareness, digital literacy, moral sensitivity, attitude, self-efficacy, anxiety, and social influence DOI
Mohammad H. Abuadas, Zainab Fatehi Albikawi

Journal of Human Behavior in the Social Environment, Год журнала: 2025, Номер unknown, С. 1 - 21

Опубликована: Март 3, 2025

Язык: Английский

Процитировано

0
Healthcare Workers' Knowledge and Attitudes Regarding Artificial Intelligence Adoption in Healthcare: A Cross-sectional Study DOI Creative Commons
Moustaq Karim Khan Rony, Khadiza Akter,

Latifun Nesa

и другие.

Heliyon, Год журнала: 2024, Номер 10(23), С. e40775 - e40775

Опубликована: Ноя. 29, 2024

Язык: Английский

Процитировано

3
Demographic factors, knowledge, attitude and perception and their association with nursing students’ intention to use artificial intelligence (AI): a multicentre survey across 10 Arab countries DOI Creative Commons
Omar Al Omari, Muna Alshammari,

Wafa Al Jabri

и другие.

BMC Medical Education, Год журнала: 2024, Номер 24(1)

Опубликована: Дек. 18, 2024

Язык: Английский

Процитировано

0
Exploring undergraduate students’ general attitudes towards Artificial Intelligence: A perspective from Vietnam DOI Creative Commons
Le Minh Tien

Journal of language and cultural education, Год журнала: 2024, Номер 12(3), С. 16 - 22

Опубликована: Дек. 1, 2024

Abstract Undergraduate students’ attitudes towards Artificial Intelligence (AI) in developing countries like Vietnam are rarely explored despite AI’s increasing presence higher education. This study aims to investigate the of undergraduate students AI. A quantitative research method was used, involving a self-reported survey questionnaire. The sample consisted 460 (196 males and 264 females) from five public private universities Ho Chi Minh City, Vietnam. Data collection took place through cross-sectional November December 2023. General Attitudes Towards Scale (GAAIS), originally developed validated English by Schepman Rodway (2020), adapted Vietnamese for this study. scale comprised 20 items evaluate analysis included descriptive statistics, Cronbach’s alpha coefficient, t-tests, one-way Analysis Variance (ANOVA). results indicated Alpha value 0.705 total variable, demonstrating acceptable reliability. Consequently, displayed moderately positive findings also revealed no significant difference based on gender, but there notable variation student’s year at university.

Язык: Английский

Процитировано

0