Future of education in the era of generative artificial intelligence: Consensus among Chinese scholars on applications of ChatGPT in schools

Future in Educational Research, Год журнала: 2023, Номер 1(1), С. 72 - 101

Опубликована: Сен. 1, 2023

Abstract ChatGPT is an artificial intelligence chatbot that utilizes advanced natural language processing technologies, including large models, to produce human‐like responses user queries spanning a wide range of topics from programming mathematics. As emerging generative (GAI) tool, it presents novel opportunities and challenges the ongoing digital transformation education. This article employs systematic review approach summarize viewpoints Chinese scholars experts regarding implementation GAI in The research findings indicate majority support cautious integration into education as serves learning tool offers personalized educational experiences for students. However, also raises concerns related academic integrity potential hindrance students' critical thinking skills. Consequently, framework called DATS, which outlines optimization path future applications schools, proposed. takes account perspectives four key stakeholders: developers, administrators, teachers,

Язык: Английский

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Investigation of the moderation effect of gender and study level on the acceptance and use of generative AI by higher education students: Comparative evidence from Poland and Egypt

British Journal of Educational Technology, Год журнала: 2024, Номер 55(3), С. 1209 - 1230

Опубликована: Янв. 4, 2024

Abstract This study delves into the implications of incorporating AI tools, specifically ChatGPT, in higher education contexts. With a primary focus on understanding acceptance and utilization ChatGPT among university students, research utilizes Unified Theory Acceptance Use Technology (UTAUT) as guiding framework. The investigation probes four crucial constructs UTAUT—performance expectancy, effort social influence facilitating conditions—to understand their impact intent actual use behaviour students. relies data collected from six universities two countries assessed through descriptive statistics structural equation modelling techniques, also takes account participants' gender level. key findings show that performance significantly behavioural intention. Furthermore, intention, when considered alongside conditions, influences behaviour. explores moderating level relationships these variables. results not only augment our comprehension technology context tools but provide valuable input for formulating strategies promote effective incorporation education. underscores need awareness initiatives, bespoke training programmes, intuitive tool designs to bolster students' perceptions foster wider adoption Practitioner notes What is already known about this topic quickly gaining worldwide recognition. helps with writing essays solving assignments. raises ethical concerns authorship, plagiarism ethics. paper adds an aid education, which has been studied previously. We used extended theory test what factors mostly by conducted multiple Poland Egypt based sampling strategy universities. Implications practice and/or policy global game changer should be incorporated programmes. limitations well explained since it prone making mistakes. Higher teachers aware ChatGPT's capabilities.

Язык: Английский

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Human-Centered Interaction in Virtual Worlds: A New Era of Generative Artificial Intelligence and Metaverse

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 43

Опубликована: Фев. 27, 2024

The metaverse has emerged as an exciting new paradigm for human-computer interaction (HCI) and virtual collaboration. This paper presents a comprehensive review of the to address gap in existing literature where there is lack survey that reviews nature its building blocks from human-centric perspective. We first synthesize definition delineate key affordances. then introduce detailed framework encompassing metaverse's nature, infrastructure technologies, input/output technologies facilitate multi-sensory HCI, alongside applications across diverse domains. components within this are explained depth, offering insights into readiness level current technologies. Based on analysis, we outline major open challenges propose promising directions demanding further exploration investigation. By clarifying vision characterizing required realize it, provides essential serves invaluable resource developers researchers working advance transformative medium.

Язык: Английский

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An Empirical Evaluation of a Generative Artificial Intelligence Technology Adoption Model from Entrepreneurs’ Perspectives

Systems, Год журнала: 2024, Номер 12(3), С. 103 - 103

Опубликована: Март 18, 2024

Technologies, such as Chat Generative Pre-Trained Transformer (ChatGPT), are prime examples of Artificial Intelligence (AI), which is a constantly evolving area. SMEs, particularly startups, can obtain competitive edge, innovate their business models, gain value, and undergo digital transformation by implementing these technologies. Continuous but gradual experimentation with technologies the foundation for adoption. The experience that comes from trying new help entrepreneurs adopt more strategically experiment them. urgent need an in-depth investigation highlighted paucity previous research on ChatGPT uptake in startup context, entrepreneurial perspective. objective this study to empirically validate AI technology adoption model establish direction strength correlations among factors perspectives entrepreneurs. data collected 482 who exhibit great diversity genders, countries startups located, industries serve, age, educational levels, work entrepreneurs, length time have been market. Collected analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) technique, results statistical examination relationships between model’s factors. indicate social influence, domain experience, familiarity, system quality, training support, interaction convenience, anthropomorphism impact pre-perception perception phase These motivate technology, thereby building perceptions its usefulness, perceived ease use, enjoyment, three turn affect emotions toward and, finally, switching intentions. Control variables like gender, attainment no appreciable effect intentions alternatives technology. Rather, factor running businesses shows itself be crucial one. practical implications other innovation ecosystem actors, including, instance, providers, libraries, policymakers. This enriches acceptance theory extends existing literature introducing stages specific entrepreneurship.

Язык: Английский

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Beyond Reality: The Pivotal Role of Generative AI in the Metaverse

IEEE Internet of Things Magazine, Год журнала: 2024, Номер 7(4), С. 126 - 135

Опубликована: Июнь 27, 2024

Язык: Английский

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Generative Artificial Intelligence (AI) Technology Adoption Model for Entrepreneurs: Case of ChatGPT

Internet Reference Services Quarterly, Год журнала: 2024, Номер 28(2), С. 223 - 242

Опубликована: Янв. 5, 2024

This article presents an extensive Generative AI Technology Adoption Model intended to elucidate the complex process that entrepreneurs and other innovation ecosystem actors, for instance, libraries, go through its adoption. The model suggests adoption happens in three stages: Pre-Perception & Perception, Assessment, Outcome. During Perception Phase, initiate their technology exploration by navigating social factors, domain experience, technological familiarity, system quality, training support, interaction convenience, anthropomorphism; with utilitarian value hedonic values playing important role. As they transition Assessment Stage, perceived usefulness, ease of use, a novel addition, enjoyment, shape evaluations, leading generations emotions toward it, overweighting values. finishes Outcome where developed Stage become tangible intentions switch (use or human services). highlights factors (also called latent variables) relationships grounded on researcher's professional experiences need be further empirically validated. Entrepreneurial implications highlight strategic insights model, providing decision-making roadmap highlighting between hedonistic Entrepreneurs can create well-informed integrations are line business objectives using incremental process. model's focus comparative evaluations gives ability strategically map usability best possible commercial results. offers nuanced understanding entrepreneurs' processes, which is also applicable actors ecosystem.

Язык: Английский

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The Metaverse: Innovations and generative AI

International Journal of Innovation Studies, Год журнала: 2024, Номер 8(3), С. 262 - 272

Опубликована: Апрель 17, 2024

Today, the Metaverse consists of various platforms, including digital twins physical world as well virtual and blended digital-material environments that offer immersive experiences for individual users. By going beyond solely or realms, these platforms unlock new possibilities exploration, experimentation, interaction. This makes it possible to transcend limitations innovation processes confined locations, so is thus poised drive groundbreaking innovations. article explores an platform, its opportunities challenges, role generative AI in it. It discusses how Metaverse, a collaboration, creativity, technological supports potential. embracing challenges offered by leveraging capabilities within it, future which individuals can truly explore novel synergies between thriving kinds crucial achieve holistic sustainability impacts both platform outputs.

Язык: Английский

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El impacto de la inteligencia artificial generativa en educación superior: una mirada desde la ética y la integridad académica

RELIEVE - Revista Electrónica de Investigación y Evaluación Educativa, Год журнала: 2023, Номер 29(2)

Опубликована: Дек. 11, 2023

La Inteligencia Artificial Generativa (IAG) ha revolucionado el ámbito de la educación superior, y abierto debate en torno al potencial herramientas como ChatGPT, Humata.ai o Sudowrite los procesos enseñanza, aprendizaje evaluación. Si bien su integración este contexto presenta numerosas oportunidades (i.e., retroalimentación instantánea, generación recursos materiales docentes, adaptativo, interactividad, etc.), también plantea importantes desafíos que ponen entredicho ética integridad académica fiabilidad información, transparencia respecto a las fuentes utilizadas privacidad seguridad datos. El objetivo artículo es examinar, desde una triple perspectiva (alumnado, profesorado centro), implicaciones éticas uso superior. Se busca analizar impacto aspectos vinculados con seguridad, accesibilidad, sostenibilidad e, incluso, nuevas formas plagio fraude académico suplanten autoría. A partir revisión bibliográfica realizada, según lo plantean algunos autores, se explorarán posibilidades IAG aulas universitarias, mediante prácticas pedagógicas orienten alumnado correcta utilización, permitan buscar nuevos enfoques educativos. Este proceso transformación exigirá establecimiento unas directrices claras ajusten códigos éticos políticas instituciones En definitiva, reflexión sobre cómo aunar educación, innovación e brindará comunidad universitaria nueva oportunidad para impulsar mejoras enseñanza universitaria.

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Metaverse Key Requirements and Platforms Survey

IEEE Access, Год журнала: 2023, Номер 11, С. 117765 - 117787

Опубликована: Янв. 1, 2023

The growing interest in the metaverse has led to an abundance of platforms, each with its own unique features and limitations. This paper's objective is two-fold. First, we aim at providing analysis requirements that need be fulfilled by platforms. We survey a broad set criteria including interoperability, immersiveness, persistence, multimodal social interaction, scalability, level openness, configurability, market access, security, blockchain integration, among others. Second, review wide range existing critically evaluate their ability meet listed. identify limitations, which must addressed establish fair, trustworthy, interactive experiences within ecosystem. Looking forward, highlight for further research development areas such as decentralization, improved security privacy measures, integration emerging technologies like AI, essential building blocks resilient secure metaverse.

Язык: Английский

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

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

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