Log in

Relevant bibliographies by topics / Generative Artificial Intelligence (GenAI) / Journal articles

To see the other types of publications on this topic, follow the link: Generative Artificial Intelligence (GenAI).

Journal articles on the topic 'Generative Artificial Intelligence (GenAI)'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Generative Artificial Intelligence (GenAI).'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Hasan, A. K. M. Kamrul. "Governance of Generative Artificial Intelligence." International Journal of Knowledge Management 21, no. 1 (2025): 1–21. https://doi.org/10.4018/ijkm.383061.

Full text

Abstract:

The field of knowledge management and knowledge management systems is evolving and dynamic. In the era of developed information technology systems, the dynamics of knowledge creation and dissemination have also changed. Generative artificial intelligence (GenAI)—an embedded entity in the knowledge management system—has become a prominent area of research nowadays, while accountability, transparency, and ethics are common research agendas in institutional economics related to GenAI. The research in this paper has investigated the convictions behind GenAI adoption and how to develop a GenAI gove

APA, Harvard, Vancouver, ISO, and other styles

2

Dimitrieska, Savica. "Generative Artificial Intelligence and Advertising." Trends in Economics, Finance and Management Journal 6, no. 1 (2024): 23–34. http://dx.doi.org/10.69648/eyzi2281.

Full text

Abstract:

Generative artificial intelligence, the new buzzword in technology, is the next step in the evolution of traditional artificial intelligence. Unlike traditional AI that excels in data analyzing and automating processes, generative AI (GenAI) is a pioneer in creating new and original content. GenAI is very close to human intelligence, capable of logical thinking, imitating human behavior and armed with decision making capabilities. Generative AI creates new texts, images, music, 3D designs and codes, thus strongly influencing the activities, strategies, and consumer interactions of various indu

APA, Harvard, Vancouver, ISO, and other styles

3

Alavi, Maryam, Dorothy E. Leidner, and Reza Mousavi. "Knowledge Management Perspective of Generative Artificial Intelligence." Journal of the Association for Information Systems 25, no. 1 (2024): 1–12. http://dx.doi.org/10.17705/1jais.00859.

Full text

Abstract:

In this editorial, revisiting Alavi and Leidner (2001) as a conceptual lens, we consider the organizational implications of Generative Artificial Intelligence (GenAI) from a knowledge management (KM) perspective. We examine how GenAI impact the processes of knowledge creation, storage, transfer, and application, highlighting both the opportunities and challenges this technology presents. In knowledge creation, GenAI enhances information? processing and cognitive functions, fostering individual and organizational learning. However, it also introduces risks like AI bias and reduced human sociali

APA, Harvard, Vancouver, ISO, and other styles

4

Hombana, Thamsanqa. "Knowledge Generation Through Open Access and Generative Artificial Intelligence." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40817.

Full text

Abstract:

The amount of data generated by scientific knowledge is growing exponentially, much faster than natural intelligence, making it increasingly more challenging for researchers to manage their data. Reputable Generative AI (GenAI) is seen as a crucial instrument to help modern researchers facilitate ethical publications and knowledge production. This study looks at how South African researchers can move the development of ethical knowledge using artificial intelligence by utilizing open access methodologies and practices. GenAI has completely changed the scientific research landscape by providing

APA, Harvard, Vancouver, ISO, and other styles

5

Ittefaq, Muhammad, Ali Zain, Rauf Arif, Taufiq Ahmad, Laeeq Khan, and Hyunjin Seo. "Factors influencing international students’ adoption of generative artificial intelligence." Journal of International Students 15, no. 7 (2025): 127–54. https://doi.org/10.32674/fnwdpn48.

Full text

Abstract:

The present study examines the factors influencing international students’ intentions to use generative artificial intelligence (GenAI). Our results showed that attitude toward GenAI use, perceived ease of use, perceived usefulness, enjoyment, subjective norms, novelty, trust in technology, perceived value, and AI literacy were positively associated with intention to use GenAI. Fear of plagiarism had a negative relationship with intention to use GenAI. Our mediation analysis suggested that trust in technology, perceived ease of use, fear of plagiarism, perceived usefulness, and AI literacy ind

APA, Harvard, Vancouver, ISO, and other styles

6

Aja, Lucy, Muhammad Tukur, Aquila Modupe Otitoju, and Mohammad Lubega. "Generative artificial intelligence tools in education research: Applications, and methodological enhancements." KIU Journal of Education 5, no. 1 (2025): 183–94. https://doi.org/10.59568/kjed-2025-5-1-23.

Full text

Abstract:

This opinion paper discusses the rapid development of generative artificial intelligence (GenAI) tools, which have significantly impacted educational research. This study examines the diverse applications of GenAI in educational settings, highlighting how it can enhance data analysis, automate literature reviews using generative AI tools, and facilitate personalized learning. By incorporating GenAI techniques such as automated content generation, researchers may expedite the data collecting process, generate insights from large-scale datasets, and develop adaptive learning materials that respo

APA, Harvard, Vancouver, ISO, and other styles

7

Huo, Xuenan, and Keng Leng Siau. "Generative Artificial Intelligence in Business Higher Education." Journal of Global Information Management 32, no. 1 (2024): 1–21. https://doi.org/10.4018/jgim.364093.

Full text

Abstract:

This research investigates the opportunities and challenges of integrating generative artificial intelligence (GenAI) into business higher education, drawing insights from an asynchronous focus group research study with doctoral students who serve dual roles as both learners and educators. Key opportunities identified through thematic analysis include knowledge acquisition, intelligent co-ideation, supportive augmentation, and personalized learning. Challenges identified include AI trustworthiness, cognitive dependency, human value, policy and instruction, assessment integrity, and identity ma

APA, Harvard, Vancouver, ISO, and other styles

8

Bodini, Matteo. "Generative Artificial Intelligence and Regulations: Can We Plan a Resilient Journey Toward the Safe Application of Generative Artificial Intelligence?" Societies 14, no. 12 (2024): 268. https://doi.org/10.3390/soc14120268.

Full text

Abstract:

The rapid advancements of Generative Artificial Intelligence (GenAI) technologies, such as the well-known OpenAI ChatGPT and Microsoft Copilot, have sparked significant societal, economic, and regulatory challenges. Indeed, while the latter technologies promise unprecedented productivity gains, they also raise several concerns, such as job loss and displacement, deepfakes, and intellectual property violations. The present article aims to explore the present regulatory landscape of GenAI across the major global players, highlighting the divergent approaches adopted by the United States, United

APA, Harvard, Vancouver, ISO, and other styles

9

PUGACHEVA, O. V. "GENERATIVE ARTIFICIAL INTELLIGENCE IN ACTION: ENHANCING PRODUCTIVITY AND MANAGEMENT EFFICIENCY." Herald of Omsk University. Series: Economics 22, no. 3 (2024): 24–32. http://dx.doi.org/10.24147/1812-3988.2024.22(3).24-32.

Full text

Abstract:

This article presents a critical analysis of the influence of generative artificial intelligence (GenAI) on the productivity of key organizational leaders (KOLs), regardless of industry. Specific attention is paid to exploring the potential application of GenAI in enhancing managerial functions, streamlining certain tasks, and integrating seamlessly into existing processes. The research aims to classify GenAI and evaluate its potential impact on productivity. It also aims to describe tested instances of GenAI application in KOL workflows for improved efficiency and output, and to propose a ste

APA, Harvard, Vancouver, ISO, and other styles

10

Fleischmann, Katja. "Generative Artificial Intelligence in Graphic Design Education: A Student Perspective." Canadian Journal of Learning and Technology 50, no. 1 (2024): 1–17. http://dx.doi.org/10.21432/cjlt28618.

Full text

Abstract:

Generative Artificial Intelligence (GenAI) is re-defining the way higher education design is taught and learned. The explosive growth of GenAI in design practice demands that design educators ensure students are prepared to enter the design profession with the knowledge and experience of using GenAI. To facilitate GenAI’s introduction in a project-based context, it is suggested that design educators use critical engagement as a starting point to assure students understand the strengths and weakness of GenAI in the creative design process. There is little guidance on how to systematically integ

APA, Harvard, Vancouver, ISO, and other styles

11

Dolinsky, Michael. "Directions for using Generative Artificial Intelligence in Introductory Programming." WSEAS TRANSACTIONS ON COMPUTERS 23 (December 31, 2024): 262–69. https://doi.org/10.37394/23205.2024.23.26.

Full text

Abstract:

This paper provides a review of the literature on the use of generative artificial intelligence (GenAI) in introductory programming education at universities. The main areas of application of generative artificial intelligence are given: specialized narrow-topic developments, integration into online learning platforms and testing solutions, students working with GenAI without restrictions, guiding systems for the interaction of students with GenAI (without providing solutions), teacher assistance, tools for developing intelligent teaching systems. The paper also contains a review of works that

APA, Harvard, Vancouver, ISO, and other styles

12

Dekerlegand, Robert, Alison Bell, Malachy J. Clancy, Erin R. Pletcher, and Travis Pollen. "Generative Artificial Intelligence in Education: Insights from Rehabilitation Sciences Students." Education Sciences 15, no. 3 (2025): 380. https://doi.org/10.3390/educsci15030380.

Full text

Abstract:

Little is known about how students in rehabilitation sciences accept and use generative artificial intelligence (GenAI) in their educational endeavors. We explored student perceptions, acceptance, and utilization of GenAI in school and their beliefs about its usefulness and ease of use. A cross-sectional online survey was conducted of adult students enrolled in rehabilitation sciences programs within a private urban academic university. The survey was based on the Technology Acceptance Model with questions specific to the use of GenAI in school. A total of 196 responses were included in the an

APA, Harvard, Vancouver, ISO, and other styles

13

Bannister, Peter, Elena Alcalde Peñalver, and Alexandra Santamaría Urbieta. "International Students and Generative Artificial Intelligence." Journal of International Students 14, no. 3 (2024): 149–70. http://dx.doi.org/10.32674/jis.v14i3.6277.

Full text

Abstract:

An exploratory analysis of tertiary education GenAI academic integrity policies has been undertaken, to examine provision for international students, having been identified as vulnerable to bias and integrity challenges associated with these technologies. A qualitative document analysis of 131 HE institutions (HEI) policies across 11 countries reveals mostly scant consideration of international students' needs, with the majority lacking any explicit provision. A subsequent SWOT analysis of exceptions to this generally indicates strengths in acknowledging diverse learner assumptions but weaknes

APA, Harvard, Vancouver, ISO, and other styles

14

Kumar, Aman, Amit Shankar, Linda D. Hollebeek, Abhishek Behl, and Weng Marc Lim. "Generative artificial intelligence (GenAI) revolution: A deep dive into GenAI adoption." Journal of Business Research 189 (February 2025): 115160. https://doi.org/10.1016/j.jbusres.2024.115160.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Cordero, Jorge, Jonathan Torres-Zambrano, and Alison Cordero-Castillo. "Integration of Generative Artificial Intelligence in Higher Education: Best Practices." Education Sciences 15, no. 1 (2024): 32. https://doi.org/10.3390/educsci15010032.

Full text

Abstract:

Generative artificial intelligence (GenAI) is transforming various sectors, including education. This study investigates the integration of GenAI in higher education, focusing on its potential to enhance teaching and learning. Through a series of workshops and courses delivered to university professors, it examines opportunities such as improved resource creation and challenges like ethical AI usage, proposing best practices for the sustainable implementation of GenAI in the classroom. The main objective is to analyze how the use of GenAI tools such as ChatGPT, Gemini, and Claude can improve t

APA, Harvard, Vancouver, ISO, and other styles

16

Henriksen, Danah, Punya Mishra, Lauren Woo, and Nicole Oster. "Education Doctorate in the Context of Generative Artificial Intelligence." Impacting Education: Journal on Transforming Professional Practice 10, no. 1 (2025): 73–79. https://doi.org/10.5195/ie.2025.485.

Full text

Abstract:

The emergence of generative artificial intelligence (GenAI) fundamentally shifts how educational knowledge is created, shared, and validated. Through the lens of epistemic technologies—tools that transform knowledge creation and dissemination—we analyze how GenAI challenges traditional notions of practical wisdom in education doctorate (EdD) programs. Drawing on parallels with previous epistemic shifts like written language, print, and digital media, we explore how GenAI, as a generative, dialogic, multimodal, and sometimes unpredictable technology, transforms practitioner knowledge and decisi

APA, Harvard, Vancouver, ISO, and other styles

17

Whitbread, Molly, Chloe Hayes, Sanjana Prabhakar, and Rebecca Upsher. "Exploring University Staff’s Perceptions of Using Generative Artificial Intelligence at University." Education Sciences 15, no. 3 (2025): 367. https://doi.org/10.3390/educsci15030367.

Full text

Abstract:

This study aimed to understand university staff’s perspectives and approaches regarding students’ use of generative artificial intelligence (GenAI) in an academic setting. Currently, there is a lack of social media analyses exploring this area. For the present study, a qualitative content analysis was conducted on posts about ChatGPT shared via X (formerly Twitter). This enabled a sample of n = 194 perspectives to be captured. Three main themes were generated: (1) perceptions of GenAI’s impact on higher education and skepticism towards its management; (2) GenAI in assessment: prevention and de

APA, Harvard, Vancouver, ISO, and other styles

18

Dhawan, Ravi, Kendall Douglas Brooks, Orr Shauly, Denys Shay, and Albert Losken. "Ethical Considerations for Generative Artificial Intelligence in Plastic Surgery." Plastic and Reconstructive Surgery - Global Open 13, no. 6 (2025): e6825. https://doi.org/10.1097/gox.0000000000006825.

Full text

Abstract:

Summary: The integration of artificial intelligence (AI) into surgical care is rapidly transforming healthcare by enhancing efficiency, clinical decision-making, and patient outcomes. Generative AI (genAI), a subfield using large language models such as ChatGPT, Bard, and Midjourney, holds significant promise in automating tasks such as surgical planning and discharge summaries. However, it raises concerns about misinformation, data breaches, biases, and misuse. No genAI technology has yet received Food and Drug Administration approval for surgical use, emphasizing the need for thorough regula

APA, Harvard, Vancouver, ISO, and other styles

19

Spennemann, Dirk H. R. "Generative Artificial Intelligence, Human Agency and the Future of Cultural Heritage." Heritage 7, no. 7 (2024): 3597–609. http://dx.doi.org/10.3390/heritage7070170.

Full text

Abstract:

The first half of 2023 was dominated by a public discussion of the nature and implications of generative artificial intelligence (genAI) models that are poised to become the most significant cross-cultural global disruptor since the invention of the World-Wide Web. It can be predicted that genAI will affect how cultural heritage is being managed and practiced, primarily by providing analysis and decision-making tools, but also by genAI generated texts and images, in particular reconstructions of objects and sites. The more speculative interpretations of contexts and alternative interpretations

APA, Harvard, Vancouver, ISO, and other styles

20

Mozelius, Peter, Marcia Håkansson Lindqvist, Cleveland-Innes Martha, Jimmy Jaldemark, and Marcus Sundgren. "Educating the Educators on Generative Artificial Intelligence in Higher Education." International Conference on AI Research 4, no. 1 (2024): 296–302. https://doi.org/10.34190/icair.4.1.3026.

Full text

Abstract:

In the current spring of Artificial Intelligence, the rapid development of Generative AI (GenAI) has initiated vivid discussions in higher education. Opportunities as well as challenges have been identified and to cope with this new situation there is a need for a large-scale teacher professional development. With basic skills about GenAI teachers could use the new technology as an extension of the existing technology enhanced teaching and learning. The aim of this paper is to present and discuss the project FAITH (Frontline Application of AI and Technology-enhanced Learning for Transforming H

APA, Harvard, Vancouver, ISO, and other styles

21

Wan, Guofang, Mariana Hernandes Grassi, Tori Golden, et al. "Artificial Intelligence and Academic Integrity: Legislate or Educate?" Journal of Scholarly Publishing 56, no. 2 (2025): 320–76. https://doi.org/10.3138/jsp-2024-1118.

Full text

Abstract:

This participatory action research intends to bridge the gap between generative artificial intelligence (GenAI) tools and academic integrity in a Midwestern university in the United States. Using mixed methods, researchers analysed participants’ perceptions and strategies for using GenAI tools while upholding academic integrity. The study highlighted the institution’s strengths, weaknesses, opportunities, and challenges in grappling with the issue. The results pointed to the need for the critical use of GenAI tools and guidelines for tackling the multifaceted impacts of technology. The study c

APA, Harvard, Vancouver, ISO, and other styles

22

Sun, Mengze, Rong Yan, and Run Wen. "Generative AI in Chinese Early Childhood Education." International Journal of Teacher Education and Professional Development 8, no. 1 (2025): 1–23. https://doi.org/10.4018/ijtepd.382379.

Full text

Abstract:

While generative artificial intelligence (GenAI) applications in secondary and higher education have been widely studied, their adoption in early childhood education remains underexplored. This study investigates Chinese preschool teachers' (N = 10) GenAI adoption patterns, perceptions, and determinants through surveys and semi-structured interviews, framed by expectancy-value theory and the Technological Pedagogical Content Knowledge model. Key findings reveal: moderate to high adoption rates despite varying artificial intelligence literacy, with strong perceived utility, achievement value, a

APA, Harvard, Vancouver, ISO, and other styles

23

Kadam, Sanika. "Generative AI Integration in Intelligent Graphics Editors." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04158.

Full text

Abstract:

Abstract—Generative Artificial Intelligence (GenAI) is trans- forming the field of digital graphics by enabling automatic generation and intelligent manipulation of visual content. This paper presents a comprehensive overview of how GenAI technologies are integrated into modern graphics editors, discussing architecture, capabilities, challenges, and future directions. Index Terms—Generative AI, Graphics Editor, Deep Learning, Image Synthesis, Diffusion Models, WPF, Stable Diffusion

APA, Harvard, Vancouver, ISO, and other styles

24

Subudhi, Srihari. "Generative Artificial Intelligence (GenAI) Use Cases for the Banks in India." International Journal of Science and Research (IJSR) 13, no. 11 (2024): 1086–90. http://dx.doi.org/10.21275/sr241118192525.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Liu, Lihua. "Survey and Analysis of Primary School Teachers' Use of Generative Artificial Intelligence." Lecture Notes in Education Psychology and Public Media 74, no. 1 (2024): 43–52. http://dx.doi.org/10.54254/2753-7048/2024.bo17693.

Full text

Abstract:

In the wave of generative artificial intelligence (GenAI) applications in education, the current status and attitude of primary school teachers towards the use of GenAI have not yet been fully studied. This study surveyed 78 primary school teachers through an online questionnaire to reveal their understanding level of GneAI, the usage of GenAI, their views on GenAI applied in education, and expectations for future applications of GenAI. The results show that most teachers have some understanding of AI, but less knowledge of GenAI. Despite this, almost all teachers agree that GenAI plays a posi

APA, Harvard, Vancouver, ISO, and other styles

26

Cano-Marin, Enrique. "transformative potential of Generative Artificial Intelligence (GenAI) in business." ESIC Market 55, no. 2 (2024): e333. http://dx.doi.org/10.7200/esicm.55.333.

Full text

Abstract:

Objective:This study investigates the transformative potential of Generative Artificial Intelligence(GenAI) within the business domain and the entrepreneurial activity.Methodology:A comprehensive research design is adopted, integrating text-mining techniques to analysedata obtained from publicly available innovation repositories. A systematic literaturereview (SLR) is developed based on the literature obtained from all databases indexedin Web of Science (WoS), incorporating preprints from arXiv, alongside industry-relatedinnovation data in the form of patents from Google Patents. This method e

APA, Harvard, Vancouver, ISO, and other styles

27

Poland, Shaun, Siddhartha Sharad, and Gus Wigen‐Toccalino. "Powering Innovation: The Comprehensive Impact of Generative AI." Climate and Energy 40, no. 7 (2024): 1–11. http://dx.doi.org/10.1002/gas.22385.

Full text

Abstract:

Understanding the role of Generative Artificial Intelligence (GenAI) in the energy and utility sector necessitates distinguishing it from traditional AI applications. AI generally encompasses machine capabilities for tasks that require human intelligence, such as discerning patterns and making decisions. GenAI is a specialized subset of AI and goes further, by creating entirely new content—text, images, or data—through learning from existing datasets and generating new, unique outputs (Figure 1).

APA, Harvard, Vancouver, ISO, and other styles

28

Berghea, Florian, Dan Andras, and Elena Camelia Berghea. "Generative Artificial Intelligence and Risk Appetite in Medical Decisions in Rheumatoid Arthritis." Applied Sciences 15, no. 10 (2025): 5700. https://doi.org/10.3390/app15105700.

Full text

Abstract:

With Generative AI (GenAI) entering medicine, understanding its decision-making under uncertainty is important. It is well known that human subjective risk appetite influences medical decisions. This study investigated whether the risk appetite of GenAI can be evaluated and if established human risk assessment tools are applicable for this purpose in a medical context. Five GenAI systems (ChatGPT 4.5, Gemini 2.0, Qwen 2.5 MAX, DeepSeek-V3, and Perplexity) were evaluated using Rheumatoid Arthritis (RA) clinical scenarios. We employed two methods adapted from human risk assessment: the General R

APA, Harvard, Vancouver, ISO, and other styles

29

Osaman, Siti Haryanti, and Mohd Effendi Ewan Mohd Matore. "The Assessment on Generative Artificial Intelligence (GAI) Technology in Malay Language Teaching." International Journal of Research and Innovation in Social Science IX, no. IV (2025): 2426–33. https://doi.org/10.47772/ijriss.2025.90400182.

Full text

Abstract:

Generative Artificial Intelligence (GenAI-Tech) is a branch of artificial intelligence capable of generating new and original data based on existing data. GenAI-Tech can manipulate and synthesize data to create various forms of content using algorithms to look new and realistic. However, most Malay teachers understanding of GenAI-Tech technology is very poor, especially in assessment. The discussion of GenAI-Tech using the SCORE model is not much discussed compared to the model in other strategy planning tools. Therefore, this concept paper aims to describe strategy-based assessment in GenAI-T

APA, Harvard, Vancouver, ISO, and other styles

30

Miron, Jennie, Mark Karam, and Hanan Karimah Kiranda. "Faculty Adoption of Generative Artificial Intelligence in a Canadian Higher Education Institution." Journal of Innovation in Polytechnic Education 7, no. 1 (2025): 27–37. https://doi.org/10.69520/jipe.v7i1.245.

Full text

Abstract:

The landscape of higher education (HE) continues to change rapidly with the incorporation of new artificial intelligence (AI) applications like generative artificial intelligence (genAI). These transformations can be attributed to the ubiquity, efficacy, and quality of genAI applications. GenAI will necessitate the need for HE instructors to adapt and use these technologies to sustain and enhance student learning. This paper reports quantitative findings influencing instructors’ intentions to adopt genAI into their pedagogies. The Artificial Intelligence Acceptance Measurement Survey (AIAMS) w

APA, Harvard, Vancouver, ISO, and other styles

31

Strelau, Robert. "Exploring Employees’ Accountability in Knowledge Management Systems Enhanced by Generative Artificial Intelligence." Nowoczesne Systemy Zarządzania 19, no. 4 (2024): 79–94. https://doi.org/10.37055/nsz/203481.

Full text

Abstract:

Cel badań i hipotezy/pytania badawczeCelem badania jest zgłębienie nastawienia kadry zarządzającej do kwestii odpowiedzialności za decyzje oparte na danych z GenAI oraz identyfikacja procedur czy regulacji, które mogłyby minimalizować ryzyko błędów.Metody badawczeW badaniu wykorzystano podejście jakościowe, pozyskując opinie wyższej kadry zarządzającej z wywiadów. Uczestnicy przedstawiali swoje poglądy na temat odpowiedzialności pracowników za decyzje podejmowane przy wsparciu GenAI oraz wskazywali sposoby zapewnienia wiarygodności danych. Analiza zebranych wypowiedzi posłużyła do opracowania

APA, Harvard, Vancouver, ISO, and other styles

32

Sallam, Malik, Roaa Khalil, and Mohammed Sallam. "Benchmarking Generative AI: A Call for Establishing a Comprehensive Framework and a Generative AIQ Test." Mesopotamian Journal of Artificial Intelligence in Healthcare 2024 (July 2, 2024): 69–75. http://dx.doi.org/10.58496/mjaih/2024/010.

Full text

Abstract:

The introduction and rapid evolution of generative artificial intelligence (genAI) models necessitates a refined understanding for the concept of “intelligence”. The genAI tools are known for its capability to produce complex, creative, and contextually relevant output. Nevertheless, the deployment of genAI models in healthcare should be accompanied appropriate and rigorous performance evaluation tools. In this rapid communication, we emphasizes the urgent need to develop a “Generative AIQ Test” as a novel tailored tool for comprehensive benchmarking of genAI models against multiple human-like

APA, Harvard, Vancouver, ISO, and other styles

33

Peters, Martine. "Leveraging Generative Artificial Intelligence with Transparency: Enhancing Academic Integrity in Higher Education." Journal of Scholarly Publishing 56, no. 2 (2025): 510–28. https://doi.org/10.3138/jsp-2024-1124.

Full text

Abstract:

Generative artificial intelligence (GenAI) tools have brought substantial changes to the education system, in particular to the writing process. Students must learn how to use these tools correctly and with integrity. It is the role of institutions and instructors to convey to students the importance of transparency, and how to display it when using GenAI tools to write assignments. In this paper, a theoretical model of academic assignment writing is presented, explaining at which phases of the writing process GenAI can be used with integrity and which phases must absolutely be done by the stu

APA, Harvard, Vancouver, ISO, and other styles

34

Hershkovitz, Arnon, Michal Tabach, Yoram Reich, Lilach Lurie, and Tamar Cholcman. "Framing and Evaluating Task-Centered Generative Artificial Intelligence Literacy for Higher Education Students." Systems 13, no. 7 (2025): 518. https://doi.org/10.3390/systems13070518.

Full text

Abstract:

The rise in generative artificial intelligence (GenAI) demands new forms of literacy among higher education students. This paper introduces a novel task-centered generative artificial intelligence literacy framework, which was developed collaboratively with academic and administrative staff at a large research university in Israel. The framework identifies eight skills which are informed by the six cognitive domains of Bloom’s Taxonomy. Based on this framework, we developed a measuring tool for students’ GenAI literacy and surveyed 1667 students. Findings from the empirical phase show moderate

APA, Harvard, Vancouver, ISO, and other styles

35

Huesca, Gilberto, Mariana E. Elizondo-García, Ricardo Aguayo-González, Claudia H. Aguayo-Hernández, Tanya González-Buenrostro, and Yuridia A. Verdugo-Jasso. "Evaluating the Potential of Generative Artificial Intelligence to Innovate Feedback Processes." Education Sciences 15, no. 4 (2025): 505. https://doi.org/10.3390/educsci15040505.

Full text

Abstract:

Feedback is an essential component of the teaching–learning process; however, it can vary in quality due to different contexts and students’ and professors’ individual characteristics. This research explores the effect of generative artificial intelligence (GenAI) in strengthening personalized and timely feedback by initially defining an adaptable framework to integrate GenAI into feedback mechanisms defined in theoretical frameworks. We applied a between-subjects analysis in an experimental research design with 263 undergraduate students across multiple disciplines based on an approach consis

APA, Harvard, Vancouver, ISO, and other styles

36

Han, ShinHi, Hee Sun Kang, Philip Gimber, and Sunghyun Lim. "Nursing Students’ Perceptions and Use of Generative Artificial Intelligence in Nursing Education." Nursing Reports 15, no. 2 (2025): 68. https://doi.org/10.3390/nursrep15020068.

Full text

Abstract:

Background/Objectives: Artificial intelligence (AI) is transforming nursing, with generative AI (GenAI) tools such as ChatGPT offering opportunities to enhance education through personalized learning pathways. This study aimed to explore nursing students’ use of generative artificial intelligence (GenAI) and their perceptions of its use in nursing education, including its advantages, disadvantages, and perceived support needs. Methods: This study employed an online survey. The participants were 99 undergraduate nursing students in New York City. Data was collected online through self-report me

APA, Harvard, Vancouver, ISO, and other styles

37

Oluwaseyi Olakunle Mokuolu. "Exploring the nature of generative artificial intelligence in evolving cyber threats." World Journal of Advanced Engineering Technology and Sciences 12, no. 2 (2024): 914–17. http://dx.doi.org/10.30574/wjaets.2024.12.2.0364.

Full text

Abstract:

The rapid advancement of Generative Artificial Intelligence (GenAI) has significantly impacted cybersecurity, presenting both opportunities and challenges. This study explores the evolving nature of cyber threats facilitated by GenAI, focusing on its dual role in enhancing security measures and creating sophisticated attack vectors. Through a comprehensive literature review, analyses were made on previous research focused on the applications of GenAI in cybersecurity, examining its potential to detect, prevent, and respond to threats and its vulnerabilities to exploitation by malicious actors.

APA, Harvard, Vancouver, ISO, and other styles

38

Bonde, Lossan. "A Conceptual Design of a Generative Artificial Intelligence System for Education." International Journal of Research and Innovation in Applied Science IX, no. IV (2024): 457–69. http://dx.doi.org/10.51584/ijrias.2024.904034.

Full text

Abstract:

Artificial Intelligence (AI) and, more specifically, Generative Artificial Intelligence (GenAI) are among the most trending disruptive technologies, offering unprecedented possibilities for innovation in education by customising learning paths, fostering creativity, and bridging knowledge gaps. Gen AI is a subfield of AI which generates content (text, image, audio or video) that is comparable to human-generated content. It uses complex Machine Learning (ML) models and Neural Networks (NN) trained on large datasets. The launch of ChatGPT in November 2022 has significantly raised the standards f

APA, Harvard, Vancouver, ISO, and other styles

39

Artyukhov, A., N. Artyukhova, O. Dluhopolskyi, O. Adamyk, and B. Adamyk. "Dialogue with generative artificial intelligence: is its “product” free from academic integrity violations?" Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, no. 2 (April 30, 2025): 181–88. https://doi.org/10.33271/nvngu/2025-2/181.

Full text

Abstract:

Purpose. This article aims to analyze the role of generative artificial intelligence (GenAI), specifically ChatGPT, in educational activities while addressing concerns regarding academic integrity. The study explores the ambiguous boundaries of GenAI’s involvement in coursework, its potential ethical and technological challenges, and the need for clear policies regulating its use in education. Methodology. This study employs a mixed-methods approach, combining bibliometric analysis, direct interaction with ChatGPT, and a survey of Ukrainian students. Findings. The findings of this study reveal

APA, Harvard, Vancouver, ISO, and other styles

40

Agarwal,, Pratham. "MedBot : A GenAI based Chatbot for Healthcare." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 06 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem35757.

Full text

Abstract:

Generative Artificial intelligence (GenAI) is transforming the healthcare industry by providing innovative solutions for patient care and information retrieval. MedBot is an innovative GenAI-driven chatbot designed to improve healthcare services by providing accurate and timely medical information. Utilizing advanced generative AI models, MedBot can respond to text, image, and audio queries, making it a versatile tool for diverse healthcare needs. The chatbot offers functionalities such as document summarization and insight extraction, aiding users in comprehending complex medical data. MedBot

APA, Harvard, Vancouver, ISO, and other styles

41

Bukhtueva, Irina. "GENAI MULTIPLE: THE INFLUENCE OF GENERATIVE AI COMPONENTS IN BUSINESS MODELS ON COMPANY VALUATION." Deutsche internationale Zeitschrift für zeitgenössische Wissenschaft 90 (October 18, 2024): 15–18. https://doi.org/10.5281/zenodo.13951893.

Full text

Abstract:

This article analyzes the influence of multiple generative artificial intelligence (GenAI multiple) components on business models and company valuation. The main aspects of using GenAI multiple are considered, such as process automation, reducing operating costs, improving forecasting accuracy and improving customer interaction. Special attention is given to the study of synergistic interactions between multiple artificial intelligence models for process optimization, which opens up new opportunities for companies in industries like finance, marketing, retail, and manufacturing. The artic

APA, Harvard, Vancouver, ISO, and other styles

42

Dolinsky, M. S. "Strategy and Tactics for Introducing Generative Artificial Intelligence into the Instrumental Distance Learning System DL.GSU.BY." Digital Transformation 30, no. 4 (2024): 42–49. https://doi.org/10.35596/1729-7648-2024-30-4-42-49.

Full text

Abstract:

This paper provides the strategy and tactics for introducing generative artificial intelligence (GenAI) into the instrumental distance learning system DL.GSU.BY. The strategy consists of sequential implementation of the following stages of development: creating opportunities for convenient work with GenAI in the DL system; launching electronic GenAI students to automatically complete training courses in the DL system and comparative analysis of the achievements of various GenAI among themselves and with real students; accumulation and dissemination of studentsʼ experience working with GenAI; i

APA, Harvard, Vancouver, ISO, and other styles

43

Sallam, Malik, Kholoud Al-Mahzoum, Yousef Meteb Almutairi, et al. "Anxiety among Medical Students Regarding Generative Artificial Intelligence Models: A Pilot Descriptive Study." International Medical Education 3, no. 4 (2024): 406–25. http://dx.doi.org/10.3390/ime3040031.

Full text

Abstract:

Despite the potential benefits of generative artificial intelligence (genAI), concerns about its psychological impact on medical students, especially about job displacement, are apparent. This pilot study, conducted in Jordan during July–August 2024, aimed to examine the specific fears, anxieties, mistrust, and ethical concerns medical students harbor towards genAI. Using a cross-sectional survey design, data were collected from 164 medical students studying in Jordan across various academic years, employing a structured self-administered questionnaire with an internally consistent FAME scale—

APA, Harvard, Vancouver, ISO, and other styles

44

Kirova, Vassilka D., Cyril S. Ku, Joseph R. Laracy, and Thomas J. Marlowe. "The Ethics of Artificial Intelligence in the Era of Generative AI." Journal of Systemics, Cybernetics and Informatics 21, no. 4 (2023): 42–50. http://dx.doi.org/10.54808/jsci.21.04.42.

Full text

Abstract:

In the early 2020s, advances in transformer-based deep neural networks enabled the development and growth of a number of generative artificial intelligence (GenAI) systems notable for accepting natural language prompts as input. These include large language model chatbots such as ChatGPT, Bard, and others. GenAI has applications across a wide range of industries, including art, writing, software development, product design, healthcare, finance, gaming, and more. In this paper, we place these recent advances in a historical, cybernetic context. We analyze ethical issues that arise in the area o

APA, Harvard, Vancouver, ISO, and other styles

45

Nie, Michelle. "Artificial Intelligence: The Biggest Threat to Democracy Today?" Proceedings of the AAAI Symposium Series 3, no. 1 (2024): 376–79. http://dx.doi.org/10.1609/aaaiss.v3i1.31239.

Full text

Abstract:

The impact of generative artificial intelligence (GenAI) on increasing misinformation is well-understood. But there remain questions on how GenAI impacts the well-being of individuals and societies at large. This paper tackles this question from a political science standpoint and considers the impact on democracy, which is linked to individual and social well-being. It examines aspects of AI systems, including GenAI systems, that threaten to undermine democracy the most, such as misinformation. This paper also clarifies the nature of these threats to democracy, makes the connection to epistemi

APA, Harvard, Vancouver, ISO, and other styles

46

Shi, Wei. "Leveraging Generative Artificial Intelligence to Enhance Mathematical Innovation and Practical Abilities of University Students." Higher Education and Practice 1, no. 11 (2024): 124–29. https://doi.org/10.62381/h241b19.

Full text

Abstract:

With the rapid development of artificial intelligence technology, generative artificial intelligence (GenAI) has been increasingly applied in the field of education. By analyzing the current application status, advantages, challenges, and implementation strategies of GenAI in mathematics education, this paper aims to explore how to leverage GenAI to enhance the mathematical innovation and practical abilities of university students and seeks to provide valuable references and insights for educators. Specifically, GenAI can be used to create personalized learning materials and provide real-time

APA, Harvard, Vancouver, ISO, and other styles

47

Memon, Shoeb Ahmed, Waled Shehata, Steve Rowlinson, and Riza Yosia Sunindijo. "Generative Artificial Intelligence in Architecture, Engineering, Construction, and Operations: A Systematic Review." Buildings 15, no. 13 (2025): 2270. https://doi.org/10.3390/buildings15132270.

Full text

Abstract:

Generative artificial intelligence (GenAI) is a tool that can be applied to virtually all aspects of business and life, including the construction industry. However, the adoption of GenAI in the construction industry, as with other innovations, is slow, and many of its applications thus far have been rather simplistic or failed to deliver a useful, credible output. There is a limited understanding of how GenAI is adopted in current practice and its potential to improve future practice in architecture, engineering, construction, and operations (AECO). Using a systematic literature review approa

APA, Harvard, Vancouver, ISO, and other styles

48

Cogo, Alessia, Laura Patsko, and Joanna Szoke. "Generative artificial intelligence and ELT." ELT Journal, October 7, 2024. http://dx.doi.org/10.1093/elt/ccae051.

Full text

Abstract:

Abstract There is undoubtedly, and understandably, a growing interest in incorporating generative artificial intelligence (GenAI) technologies into ELT. While advanced AI models have the potential to support language education, offering new tools and resources to enhance learning, their use also raises important questions regarding ethics and responsibility. As we follow the emergence of GenAI as another ELT tool, it is crucial to strike a balance between leveraging the benefits of these technologies and maintaining the core values of effective pedagogy. Educators must develop clear guidelines

APA, Harvard, Vancouver, ISO, and other styles

49

Bordas, Antoine, Pascal Le Masson, Maxime Thomas, and Benoit Weil. "What is generative in generative artificial intelligence? A design-based perspective." Research in Engineering Design, October 9, 2024. http://dx.doi.org/10.1007/s00163-024-00441-x.

Full text

Abstract:

AbstractGenerative artificial intelligence (GenAI) models have attracted tremendous interest since the advent of ChatGPT, raising numerous opportunities and challenges. However, their generative power has not yet been studied, leaving open the question of what is truly generated by these tools. This paper addresses this question and precisely characterizes the generativity behind GenAI models. Owing to the latest advancements in engineering design, we first propose a framework for uncovering the various types of generativity. Then, we consider the main families of GenAI models and systematical

APA, Harvard, Vancouver, ISO, and other styles

50

Bui, Nguyen. "Flipped Learning with Generative Artificial Intelligence." ASCILITE Publications, November 11, 2024, 135. http://dx.doi.org/10.14742/apubs.2024.1226.

Full text

Abstract:

This study explores the complex process of integrating generative artificial intelligence (GenAI) into a flipped classroom. Employing Clandinin and Connelly’s (2000) narrative inquiry framework, the study collected data from class observations and semi-structured interviews with a lecturer and six English-majored undergraduates before, during, and at the end of a 15-week British Literature course. Bhattacharya’s (2017) inductive analysis model was used to inform the thematic narrative sub-approach. The findings revealed both challenges and benefits associated with using GenAI for flipped learn

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!