Case ID Revealed HERE: Hybrid Elusive Case Repair Method for Transformer-Driven Business Process Event Log Enhancement DOI Creative Commons
Felix Zetzsche, Robert Andrews, Arthur H. M. ter Hofstede

и другие.

Business & Information Systems Engineering, Год журнала: 2025, Номер unknown

Опубликована: Март 19, 2025

Язык: Английский

Enhancing Work Productivity through Generative Artificial Intelligence: A Comprehensive Literature Review DOI Open Access

Humaid Al Naqbi,

Zied Bahroun, Vian Ahmed

и другие.

Sustainability, Год журнала: 2024, Номер 16(3), С. 1166 - 1166

Опубликована: Янв. 30, 2024

In this review, utilizing the PRISMA methodology, a comprehensive analysis of use Generative Artificial Intelligence (GAI) across diverse professional sectors is presented, drawing from 159 selected research publications. This study provides an insightful overview impact GAI on enhancing institutional performance and work productivity, with specific focus including academia, research, technology, communications, agriculture, government, business. It highlights critical role in navigating AI challenges, ethical considerations, importance analytical thinking these domains. The conducts detailed content analysis, uncovering significant trends gaps current applications projecting future prospects. A key aspect bibliometric which identifies dominant tools like Chatbots Conversational Agents, notably ChatGPT, as central to GAI’s evolution. findings indicate robust accelerating trend expected continue through 2024 beyond. Additionally, points potential directions, emphasizing need for improved design strategic long-term planning, particularly assessing its user experience various fields.

Язык: Английский

Процитировано

79

Generative artificial intelligence: a proactive and creative tool to achieve hyper-segmentation and hyper-personalization in the tourism industry DOI
Lázaro Florido-Benítez

International Journal of Tourism Cities, Год журнала: 2024, Номер unknown

Опубликована: Окт. 29, 2024

Purpose The purpose of this paper is to explore how GenAI can help companies achieve a higher level hyper-segmentation and hyper-personalization in the tourism industry, as well show importance disruptive tool for marketing. Design/methodology/approach This used Web Science Google Scholar databases provide updated studies expert authors industry. Analysing modalities through their new challenges tourists, cities companies. Findings reveal that technology exponentially improves consumers’ segmentation personalization products services, allowing organizations create tailored content real-time. That why concept substantially focused on customer (understood segment one) his or her preferences, needs, personal motivations purchase antecedents, it encourages design services with high individual scalability performance called hyper-personalization, never before seen Indeed, contextualizing experience an important way enhance personalization. Originality/value also contributes enhancing bootstrapping literature industry because field study, its functional operability incubation stage. Moreover, viewpoint facilitate researchers successfully integrate into different travel activities without expecting utopian results. Recently, there have been no tackle methodologies

Язык: Английский

Процитировано

15

Towards a New Artificial Intelligence-based Framework for Teachers’ Online Continuous Professional Development Programs: Systematic Review DOI Open Access
Hamza Fakhar,

Mohammed Lamrabet,

Noureddine Echantoufi

и другие.

International Journal of Advanced Computer Science and Applications, Год журнала: 2024, Номер 15(4)

Опубликована: Янв. 1, 2024

In recent years, the Artificial Intelligence (AI) field has witnessed rapid growth, affecting diverse sectors, including education. this systematic review of literature, we aimed to analyze studies concerning integration AI in continuous professional development (CPD) teachers order generate a global vision on its potential enhance quality CPD programs international level, and provide recommendations for application Moroccan context. To achieve our objective, conducted research that involves indexed databases (Scopus, Web Science, Eric) published between 2019 2023 using PICO framework formulate search query PRISMA (Preferred Reporting Items Systematic Reviews Meta-Analyses) select 25 relevant based include exclude criteria like publishing year, type documents, mode, subject area, language, other criteria. The results reveal positive impact by offering beneficial intelligent tools can tailor adaptive training meet teachers' specific needs, preferences, proficiency levels. Furthermore, findings identify importance integrating as core topic within literacy, enabling them effectively navigate utilize AI-based their educational environment. This is important preparing engage with technological advances shaping system. conclusion, emphasizes significance offers tailored implementation By adopting these recommendations, Morocco will pave way dynamic meets evolving needs educators students alike.

Язык: Английский

Процитировано

13

Benchmarking operations and supply chain management practices using Generative AI: Towards a theoretical framework DOI
Rameshwar Dubey, Angappa Gunasekaran, Θάνος Παπαδόπουλος

и другие.

Transportation Research Part E Logistics and Transportation Review, Год журнала: 2024, Номер 189, С. 103689 - 103689

Опубликована: Июль 25, 2024

Язык: Английский

Процитировано

12

Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects DOI
Shen Liu, Jinglong Chen, Yong Feng

и другие.

Expert Systems with Applications, Год журнала: 2024, Номер 255, С. 124511 - 124511

Опубликована: Июнь 24, 2024

Язык: Английский

Процитировано

8

Generative AI tools as educators’ assistants: Designing and implementing inquiry-based lesson plans DOI Creative Commons
Maria Moundridou, Nikolaos Matzakos, Spyridon Doukakis

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер 7, С. 100277 - 100277

Опубликована: Авг. 9, 2024

This study investigates the integration of Generative AI (GenAI) tools into educational practices, specifically focusing on design Inquiry-Based Learning (IBL) lesson plans. Based a particular IBL framework that synthesizes core attributes by combining strengths various models, explores educators' potential utilization GenAI across framework's phases. Among other capabilities, were examined for their support in content creation, assessment and feedback processes, as well learning activities examination informed classification this study, organizing them according to utility educators. These groups subgroups then aligned with each phase framework, demonstrating role achieving objectives phase. Several practical examples different grade levels disciplines also provided highlight prospective use. The systematic introduced fills notable gap literature, thus making valuable contribution field education. Additionally, how can be applied educators craft deliver plans, further contributes providing guidance effective use these real-world contexts.

Язык: Английский

Процитировано

8

Generative Versus Nongenerative Artificial Intelligence DOI
Sayyida Hasan, J. Woo, Mark P. Cote

и другие.

Arthroscopy The Journal of Arthroscopic and Related Surgery, Год журнала: 2025, Номер 41(3), С. 545 - 546

Опубликована: Фев. 8, 2025

Язык: Английский

Процитировано

1

The impact of large language models on higher education: exploring the connection between AI and Education 4.0 DOI Creative Commons
Iris Cristina Peláez‐Sánchez, Davis Velarde-Camaqui, Leonardo David Glasserman Morales

и другие.

Frontiers in Education, Год журнала: 2024, Номер 9

Опубликована: Июнь 14, 2024

The digital transformation has profoundly affected every facet of human life, with technological advancements potentially reshaping the economy, society, and our daily living working modalities. Artificial Intelligence (AI), particularly Generative AI (GAI), emerged as a pivotal disruption in education, showcasing capability to produce diverse context-relevant content. (GAI) revolutionized natural language processing, computer vision, creative arts. Large models (LLMs) like GPT-4 Open Assistant tools DALL-E Midjourney for visual domain are increasingly used various tasks by students others critical information needs. presents novel avenues crafting effective learning activities developing enhanced technology-driven applications educational sector. However, integrating pedagogical focus pose challenge. Education 4.0, which integrates emerging technologies innovative strategies, aims prepare new generations technologically fluid world. This systematic literature review analyze use LLMs higher education within context 4.0’s approaches, identifying trends challenges from selection 83 relevant articles out an initial set 841 papers. findings underscore significant potential enrich aligning 4.0 fostering more autonomous, collaborative, interactive learning. It highlights necessity oversight ensure quality accuracy AI-generated addresses ethical legal equitable implementation, suggesting exploration LLM integration that complements interaction while maintaining academic integrity foundation.

Язык: Английский

Процитировано

7

Utilizing Artificial Intelligence for Text Classification in Communication Sciences DOI
Sadettin Demirel,

Neslihan Bulur,

Zindan Çakıcı

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2024, Номер unknown, С. 218 - 235

Опубликована: Март 15, 2024

This study delves into the evaluation of ChatGPT's effectiveness in sentiment detection and text classification tasks specifically on Turkish texts, a domain that has been relatively underexplored existing literature predominantly focused English texts. Leveraging datasets comprising manually labeled YouTube comments news tweets categorized classes thematic topics, authors rigorously assess performance ChatGPT-3.5 ChatGPT-4 using accuracy F1 metrics. These findings unveil insights proficiency classifying textual content, illuminating its alignment with human-labeled classifications. research not only contributes to expanding scope AI beyond language but also underscores significance diversity evaluating refining models' for broader applicability practices social communication sciences.

Язык: Английский

Процитировано

6

Generative Artificial Intelligence: Analyzing Its Future Applications in Additive Manufacturing DOI Creative Commons
Erik Westphal, Hermann Seitz

Big Data and Cognitive Computing, Год журнала: 2024, Номер 8(7), С. 74 - 74

Опубликована: Июль 6, 2024

New developments in the field of artificial intelligence (AI) are increasingly finding their way into industrial areas such as additive manufacturing (AM). Generative AI (GAI) applications particular offer interesting possibilities here, for example, to generate texts, images or computer codes with help algorithms and integrate these useful supports various AM processes. This paper examines opportunities that GAI offers specifically manufacturing. There currently relatively few publications deal topic AM. Much information has only been published preprints. There, focus on Natural Language Processing (NLP), Large Models (LLMs) generative adversarial networks (GANs). summarised presentation state art is new link specific use cases this first comprehensive case study Building this, three then developed which tools used optimise Finally, a Strengths, Weaknesses, Opportunities Threats (SWOT) analysis carried out general GAI, forms basis an in-depth discussion sensible The key findings work can be integrated processes support, making faster more creative, well make process digitally recordable usable. current future potential, technical implementation AM, also presented explained visually. It shown where potential risks may arise.

Язык: Английский

Процитировано

6