ChatGPT in education: global reactions to AI innovations

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Sept. 15, 2023

Abstract The release and rapid diffusion of ChatGPT have caught the attention educators worldwide. Some are enthusiastic about its potential to support learning. Others concerned how it might circumvent learning opportunities or contribute misinformation. To better understand reactions concerning education, we analyzed Twitter data (16,830,997 tweets from 5,541,457 users). Based on topic modeling sentiment analysis, provide an overview global perceptions regarding education. triggered a massive response Twitter, with education being most tweeted content topic. Topics ranged specific (e.g., cheating) broad opportunities), which were discussed mixed sentiment. We traced that authority decisions may influence public opinions. average reaction using cheat in exams) differs discussions teaching–learning researchers likely be more interested as intelligent partner). This study provides insights into people's when new groundbreaking technology is released implications for scientific policy communication rapidly changing circumstances.

Language: Английский

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A Bibliometric Review of Large Language Models Research from 2017 to 2023

ACM Transactions on Intelligent Systems and Technology, Journal Year: 2024, Volume and Issue: 15(5), P. 1 - 25

Published: May 13, 2024

Large language models (LLMs), such as OpenAI's Generative Pre-trained Transformer (GPT), are a class of that have demonstrated outstanding performance across range natural processing (NLP) tasks. LLMs become highly sought-after research area because their ability to generate human-like and potential revolutionize science technology. In this study, we conduct bibliometric discourse analyses scholarly literature on LLMs. Synthesizing over 5,000 publications, article serves roadmap for researchers, practitioners, policymakers navigate the current landscape research. We present trends from 2017 early 2023, identifying patterns in paradigms collaborations. start with analyzing core algorithm developments NLP tasks fundamental then investigate applications various fields domains, including medicine, engineering, social science, humanities. Our review also reveals dynamic, fast-paced evolution Overall, offers valuable insights into state, impact, its applications.

Language: Английский

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Future applications of generative large language models: A data-driven case study on ChatGPT

Technovation, Journal Year: 2024, Volume and Issue: 133, P. 103002 - 103002

Published: March 29, 2024

This study delves into the evolving role of generative Large Language Models (LLMs). We develop a data-driven approach to collect and analyse tasks that users are asking LLMs. Thanks focus on this paper contributes give quantitative granular understanding potential influence LLMs in different business areas. Utilizing dataset comprising over 3.8 million tweets, we identify cluster 31,747 unique tasks, with specific case ChatGPT. To reach goal, proposed method combines two Natural Processing (NLP) Techniques, Named Entity Recognition (NER) BERTopic. The combination makes it possible clusters them areas (BERTopic). Our findings reveal wide spectrum applications, from programming assistance creative content generation, highlighting LLM's versatility. analysis highlighted six emerging application for ChatGPT: human resources, programming, social media, office automation, search engines, education. also examines implications these innovation management, proposing research agenda explore intersection identified areas, four stages process: idea screening/idea selection, development, diffusion/sales/marketing.

Language: Английский

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Green and sustainable AI research: an integrated thematic and topic modeling analysis

Journal Of Big Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: April 22, 2024

Abstract This investigation delves into Green AI and Sustainable literature through a dual-analytical approach, combining thematic analysis with BERTopic modeling to reveal both broad clusters nuanced emerging topics. It identifies three major clusters: (1) Responsible for Development, focusing on integrating sustainability ethics within technologies; (2) Advancements in Energy Optimization, centering energy efficiency; (3) Big Data-Driven Computational Advances, emphasizing AI’s influence socio-economic environmental aspects. Concurrently, uncovers five topics: Ethical Eco-Intelligence, Neural Computing, Healthcare Intelligence, Learning Quest, Cognitive Innovation, indicating trend toward embedding ethical considerations research. The study reveals novel intersections between significant research trends identifying Intelligence Quest as evolving areas societal impacts. advocates unified approach innovation AI, promoting integrity foster responsible development. aligns the Development Goals, need ecological balance, welfare, innovation. refined focus underscores critical development lifecycle, offering insights future directions policy interventions.

Language: Английский

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Aligning sustainable aviation fuel research with sustainable development goals: Trends and thematic analysis

Energy Reports, Journal Year: 2024, Volume and Issue: 12, P. 2642 - 2652

Published: Aug. 31, 2024

Over the past decade, sustainable aviation fuels (SAF) research has surged due to aviation's 2–3 % global emissions, driving urgent development meet climate goals. This study employed a mixed-method approach, combining literature review following PRISMA framework with case analysis. is first systematically SAF through lens of SDGs, providing comprehensive analysis how contributes various targets. highlights critical gaps in current research, particularly need for studies focused on economic and social dimensions SAFs alongside technological environmental aspects. paper utilized BERTopic modeling thematic SDG Mapper tool align SAF-related publications overview landscape. The findings reveal that 38.9 aligns 13 (climate action), emphasizing focus mitigating greenhouse gas emissions. 7 (Affordable Clean Energy) 12 (Responsible Consumption Production) are also significantly represented, 24.1 13.7 alignment, respectively. Six topics identified: net zero supply chain models, advanced air mobility, microalgae-based biofuels, bio jet fuel production processes, renewable catalysts. cover innovations, management, impact, stakeholder engagement, highlighting challenges benefits reducing industry's carbon footprint. To reduce companies should optimize blending, invest Jatropha-based fuels, locate facilities strategically, retrofit refineries, assess life cycles, engage stakeholders. Governments must update standards, provide financial incentives, support retrofits, ensure promote feedstocks, foster collaboration, incentivize adoption. results underscore SAF's potential contribute multiple footprint promoting energy practices.

Language: Английский

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Guiding the way: a comprehensive examination of AI guidelines in global media

AI & Society, Journal Year: 2024, Volume and Issue: unknown

Published: July 15, 2024

Abstract With the increasing adoption of artificial intelligence (AI) technologies in news industry, media organizations have begun publishing guidelines that aim to promote responsible, ethical, and unbiased implementation AI-based technologies. These are expected serve journalists workers by establishing best practices a framework helps them navigate ever-evolving AI tools. Drawing on institutional theory digital inequality concepts, this study analyzes 37 for purposes 17 countries. Our analysis reveals key thematic areas, such as transparency, accountability, fairness, privacy, preservation journalistic values. Results highlight shared principles emerge from these guidelines, including importance human oversight, explainability systems, disclosure automated content, protection user data. However, geographical distribution highlighting dominance Western nations, particularly North America Europe, can further ongoing concerns about power asymmetries consequently isomorphism outside regions. results may resource organizations, policymakers, stakeholders looking complex development toward creating more inclusive equitable future industry worldwide.

Language: Английский

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Unveiling the dynamics of AI applications: A review of reviews using scientometrics and BERTopic modeling

Journal of Innovation & Knowledge, Journal Year: 2024, Volume and Issue: 9(3), P. 100517 - 100517

Published: July 1, 2024

In a world that has rapidly transformed through the advent of artificial intelligence (AI), our systematic review, guided by PRISMA protocol, investigates decade AI research, revealing insights into its evolution and impact. Our study, examining 3,767 articles, drawn considerable attention, as evidenced an impressive 63,577 citations, underscoring scholarly community's profound engagement. study reveals collaborative landscape with 18,189 contributing authors, reflecting robust network researchers advancing machine learning applications. Review categories focus on reviews bibliometric analyses, indicating increasing emphasis comprehensive literature synthesis quantitative analysis. The findings also suggest opportunity to explore emerging methodologies such topic modeling meta-analysis. We dissect state art presented in these reviews, finding themes throughout broad discourse thematic clustering BERTopic modeling. Categorization articles across fields research indicates dominance Information Computing Sciences, followed Biomedical Clinical Sciences. Subject reveal interconnected clusters various sectors, notably healthcare, engineering, business intelligence, computational technologies. Semantic analysis via revealed nineteen mapped health innovations, for sustainable development, deep learning, education, ethical considerations. Future directions are suggested, emphasizing need intersectional bias mitigation, holistic approaches, AI's role environmental sustainability, deployment generative AI.

Language: Английский

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Integrating sustainability into cybersecurity: insights from machine learning based topic modeling

Discover Sustainability, Journal Year: 2025, Volume and Issue: 6(1)

Published: Jan. 21, 2025

Language: Английский

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Digital Twins: A Systematic Literature Review Based on Data Analysis and Topic Modeling

Data, Journal Year: 2022, Volume and Issue: 7(12), P. 173 - 173

Published: Nov. 30, 2022

The digital twin has recently become a popular topic in research related to manufacturing, such as Industry 4.0, the industrial internet of things, and cyber-physical systems. In addition, twins are focus several areas: construction, urban management, transformation economy, medicine, virtual reality, software testing, others. concept is not yet fully defined, its scope seems unlimited, relatively new; all this can present barrier research. main goal paper develop proper methodology for visualizing digital-twin science landscape using modern bibliometric tools, text-mining topic-modeling, based on machine learning models—Latent Dirichlet Allocation (LDA) BERTopic (Bidirectional Encoder Representations from Transformers). study includes 8693 publications selected Scopus database, published between January 1993 September 2022. Keyword co-occurrence analysis topic-modeling indicate that studies still early stage development. At same time, core growing, some clusters emerging. More than 100 topics be identified; most fastest-growing ‘digital robots, production lines objects.’ Further efforts needed verify proposed methodology, which achieved by analyzing other fields.

Language: Английский

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A sociotechnical perspective for responsible AI maturity models: Findings from a mixed-method literature review

International Journal of Information Management Data Insights, Journal Year: 2023, Volume and Issue: 3(2), P. 100193 - 100193

Published: Aug. 16, 2023

As artificial intelligence (AI) is increasingly used in various industries, it becomes crucial for organizations to enhance their capabilities and maturity adopting AI responsibly. This paper employs a mixed-method approach that combines topic modeling with manual content analysis provide comprehensive review of the literature on readiness. The encompasses an extensive corpus 1451 papers, identifying main themes topics within this body literature. Based these findings, subset papers was selected further analyzed identify utilizing sociotechnical lens. led identification foundational responsible (RAI) capabilities. These have been integrated framework models providing valuable insights service providers basis research.

Language: Английский

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