The Transformative Power of Generative Artificial Intelligence for Achieving the Sustainable Development Goal of Quality Education DOI Open Access
Prema Nedungadi, Kai–Yu Tang, Raghu Raman

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(22), P. 9779 - 9779

Published: Nov. 9, 2024

This study explored the transformative potential of generative artificial intelligence (GAI) for achieving UN Sustainable Development Goal on Quality Education (SDG4), emphasizing its interconnectedness with other SDGs. A proprietary algorithm and cocitation network analysis were used to identify analyze SDG features in GAI research publications (n = 1501). By examining GAI’s implications ten SDG4 targets, findings advocate a collaborative, ethical approach integrating GAI, policy practice developments that ensure technological advancements align overarching goals SDG4. The results highlight multifaceted impact First, this paper outlines framework leverages enhance educational equity, quality, lifelong learning opportunities. highlighting synergy between SDGs, such as reducing inequalities (SDG10) promoting gender equality (SDG5), underscores need an integrated utilizing GAI. Moreover, it advocates personalized learning, equitable technology access, adherence AI principles, fostering global citizenship, proposing strategic alignment applications broader agenda. Next, introduces significant challenges, including concerns, data privacy, risk exacerbating digital divide. Overall, our underscore critical role reforms innovative practices navigating challenges harnessing opportunities presented by education, thereby contributing comprehensive discourse technology’s advancing education sustainable development.

Language: Английский

Understanding and Perception of Automated Text Generation among the Public: Two Surveys with Representative Samples in Germany DOI Creative Commons
Angelica Lermann Henestrosa, Joachim Kimmerle

Behavioral Sciences, Journal Year: 2024, Volume and Issue: 14(5), P. 353 - 353

Published: April 23, 2024

Automated text generation (ATG) technology has evolved rapidly in the last several years, enabling spread of content produced by artificial intelligence (AI). In addition, with release ChatGPT, virtually everyone can now create naturally sounding on any topic. To optimize future use and understand how humans interact these technologies, it is essential to capture people's attitudes beliefs. However, research ATG perception lacking. Based two representative surveys (March 2022:

Language: Английский

Citations

8
Intelligent educational technologies in individual learning: a systematic literature review DOI Creative Commons
Nurassyl Kerimbayev,

Karlygash Adamova,

Rustam Shadiev

et al.

Smart Learning Environments, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 3, 2025

Abstract This review was conducted in order to determine the specific role of intelligent technologies individual learning experience. The research work included consider articles published between 2014 and 2024, found Web Science, Scopus, ERIC databases, selected among 933 мarticles on topic. Materials were checked for compliance with criteria headings, annotations full texts then further analyzed. study includes 38 that based a rigorous evaluation selection process accordance PRISMA methodology AMSTAR2 critical assessment strategy. As result analysis, it scope application education is diverse, results this topic are heterogeneous. article identifies aspects effective use education, emerging difficulties limitations, as well provides examples successful implementation various educational institutions. Although there advantages using smart general, we should not ignore what needs be considered. On point, presents arise when ways prevent them.

Language: Английский

Citations

1
Facilitators and Barriers of Large Language Model Adoption Among Nursing Students: A Qualitative Descriptive Study DOI Creative Commons

Yingzhuo Ma,

Tong Liu,

Jianwei Qi

et al.

Journal of Advanced Nursing, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 4, 2025

ABSTRACT Aim To explore nursing students' perceptions and experiences of using large language models identify the facilitators barriers by applying Theory Planned Behaviour. Design A qualitative descriptive design. Method Between January June 2024, we conducted individual semi‐structured online interviews with 24 students from 13 medical universities across China. Participants were recruited purposive snowball sampling methods. Interviews in Mandarin. Data analysed through directed content analysis. Results Analysis revealed 10 themes according to 3 constructs Behaviour: (a) attitude: perceived value expectations facilitators, while caution posed barriers; (b) subjective norm: media effects role model effectiveness described as whereas organisational pressure exerted universities, research institutions hospitals acted a barrier usage; (c) behavioural control: design free access strong incentives for use, geographic restrictions digital literacy deficiencies key factors hindering adoption. Conclusion This study explored attitudes, norms control regarding use models. The findings provided valuable insights into that hindered or facilitated Implications Profession Through lens this study, have enhanced knowledge journey models, which contributes implementation management these tools education. Impact There is gap literature views influence their usage, addresses. These could provide evidence‐based support nurse educators formulate strategies guidelines. Reporting adheres consolidated criteria reporting (COREQ) checklist. Public Contribution No patient public contribution.

Language: Английский

Citations

1
Factors influencing Chinese pre-service teachers’ adoption of generative AI in teaching: an empirical study based on UTAUT2 and PLS-SEM DOI
Linlin Hu, Hao Wang, Yan Xin

et al.

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

Language: Английский

Citations

1
What motivates academics in Egypt toward generative AI tools? An integrated model of TAM, SCT, UTAUT2, perceived ethics, and academic integrity DOI

Metwaly Ali Mohamed Eldakar,

Ahmed Shehata, Ahmed Ammar

et al.

Information Development, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

In recent years, the adoption of AI technologies in academia has increased, prompting a need to explain factors driving scholars adopt or plan research routines. This study integrates three models into one integrated model: TAM, UTAUT, and SCT. These are combined understand how GenAI self-efficacy, perceived ethics, academic integrity, social influence, facilitating conditions, risks, ease use, usefulness influenced participants’ intention research. Following this, data were collected from Egyptian academics linked universities. There 742 responses this question. Data analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The paper's results showed that ethics significantly related perceptions usefulness, use GenAI. Facilitating conditions have negative effect on risk does not affect significantly. Notably, result found integrity GenAI's usage utility. guide illustrates universities must take proactive steps influence will be used reinforces importance these tools within an ethical lens. paper emphasizes balance generative practices. It examines role attitudes toward AI. They represent step forward our understanding induce adoption–in case, context, specifically Egypt. Additionally, it places sound emphasis technology can beneficial whilst advocating for sensible approach application, which includes principles.

Language: Английский

Citations

1
Attitude and utilization of ChatGPT among registered nurses: A cross‐sectional study DOI
Hui‐Ling Lin, Li‐Ling Liao, Yani Wang

et al.

International Nursing Review, Journal Year: 2024, Volume and Issue: unknown

Published: July 9, 2024

Abstract Aim This study explores the influencing factors of attitudes and behaviors toward use ChatGPT based on Technology Acceptance Model among registered nurses in Taiwan. Background The complexity medical services nursing shortages increases workloads. swiftly answers questions, provides clinical guidelines, assists with patient information management, thereby improving efficiency. Introduction To facilitate development effective training programs, it is essential to examine nurses’ utilization across diverse workplace settings. Methods An anonymous online survey was used collect data from over 1000 recruited through social media platforms between November 2023 January 2024. Descriptive statistics multiple linear regression analyses were conducted for analysis. Results Among respondents, some unfamiliar ChatGPT, while others had before, higher usage males, higher‐educated individuals, experienced nurses, supervisors. Gender work settings influenced perceived risks, those familiar recognized its impact. Perceived risk usefulness significantly adoption. Discussion Nurse vary gender, education, experience, role. Positive perceptions emphasize usefulness, concerns affect insignificant role ease highlights ChatGPT's user‐friendly nature. Conclusion Over half surveyed or showed positive use. Establishing rigorous guidelines enhance their interaction crucial future training. Implications health policy managers should understand integrate into in‐service education tailored support training, including appropriate prompt formulation advanced decision‐making, prevent misuse.

Language: Английский

Citations

7
Generative AI in student English learning in Thai higher education: More engagement, better outcomes? DOI Creative Commons
Budi Waluyo, Sekartiyasa Kusumastuti

Social Sciences & Humanities Open, Journal Year: 2024, Volume and Issue: 10, P. 101146 - 101146

Published: Jan. 1, 2024

Language: Английский

Citations

7
ChatGPT-Supported Education in Primary Schools: The Potential of ChatGPT for Sustainable Practices DOI Open Access
Hilal Uğraş, Mustafa Uğraş, Stamatios Papadakis

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(22), P. 9855 - 9855

Published: Nov. 12, 2024

This study aims to evaluate the potential of using ChatGPT at primary school level from teachers’ perspective within a sustainability framework. The research was conducted as qualitative case involving 40 teachers in Turkey during 2023–2024 academic year, all whom had no prior experience with ChatGPT. Data collection tools included semi-structured interview forms and researcher diaries developed by researchers. data obtained were analysed content analysis. findings indicate that most believe is suitable for education can contribute Sustainable Development Goal (SDG) 4. Additionally, noted enriches teaching process user-friendly. These suggest contributions SDG 4.1 4.2. However, concerns raised regarding ChatGPT’s provide false information, which may negatively impact 4.7. also identified particularly mathematics, Turkish, English courses. study’s main contribution it shows how help sustainable practices getting more involved meeting specific curriculum needs. gives us useful information incorporating AI into line It recommended training programs about similar AI-supported be organised parents.

Language: Английский

Citations

7
Human versus Artificial Intelligence: ChatGPT-4 Outperforming Bing, Bard, ChatGPT-3.5 and Humans in Clinical Chemistry Multiple-Choice Questions DOI Creative Commons
Malik Sallam,

Khaled Al‐Salahat,

Huda Eid

et al.

Advances in Medical Education and Practice, Journal Year: 2024, Volume and Issue: Volume 15, P. 857 - 871

Published: Sept. 1, 2024

Artificial intelligence (AI) chatbots excel in language understanding and generation. These models can transform healthcare education practice. However, it is important to assess the performance of such AI various topics highlight its strengths possible limitations. This study aimed evaluate ChatGPT (GPT-3.5 GPT-4), Bing, Bard compared human students at a postgraduate master's level Medical Laboratory Sciences.

Language: Английский

Citations

6
ChatGPT Usage and Attitudes are Driven by Perceptions of Usefulness, Ease of Use, Risks, and Psycho-Social Impact: A Study among University Students in the UAE DOI Creative Commons
Malik Sallam, Walid El‐Sayed, Muhammad Y. Al‐Shorbagy

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 1, 2024

Abstract Background The use of ChatGPT among university students has gained popularity. current study aimed to assess the factors driving attitude and usage as an example generative artificial intelligence in United Arab Emirates (UAE). Methods This cross-sectional was based on a previously validated technology acceptance model (TAM)-based survey instrument termed TAME-ChatGPT. self-administered e-survey distributed by emails for enrolled UAE universities during September–December 2023 using convenience-based approach. Assessment demographic, academic, TAME-ChatGPT constructs role conducted univariate followed multivariate analyses. Results final sample comprised 608 participants, 91.0% which heard while 85.4% used before study. Univariate analysis indicated that positive associated with three namely lower perceived risks, anxiety, higher scores technology/social influence. For usage, being male, nationality, point grade average well four usefulness, risks use, behavior/cognitive construct ease construct. In analysis, only explained variance towards (80.8%) its (76.9%). Conclusions findings is commonplace UAE. determinants included cognitive behavioral factors, determined These should be considered understanding motivators successful adoption AI including education.

Language: Английский

Citations

5