Shaping the Future

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 125 - 154

Опубликована: Фев. 5, 2025

Big Data and AI are changing global enterprises, cultures, human-machine interaction. This chapter discusses this fast-changing world the intricate interplay between these two massive forces. Industry-wide AI-powered automation, real-time data analytics for agile decision-making, quantum computing's disruptive potential ramifications capabilities, edge AI's impact on dispersed intelligence, explainable (XAI)'s role in trust transparency future topics Fast technological breakthroughs can innovate solve issues, but they also present huge challenges. forecasts privacy robust security an increasingly interconnected world, algorithmic bias mitigation system fairness equity, complex ethical issues surrounding adoption its societal impacts, regulatory landscape need adaptive governance frameworks, human-in-the-loop using cutting-edge research, industry best practices, real-world case studies.

Язык: Английский

---

Artificial Intelligence and the Future of Education in Bangladesh

Advances in educational technologies and instructional design book series, Год журнала: 2025, Номер unknown, С. 287 - 320

Опубликована: Янв. 3, 2025

This chapter highlights the transformative impact of Artificial Intelligence on education sector in Bangladesh, reshaping learning experience for students. It emphasizes how AI fosters personalized learning, increases access to resources, and enhances skill development, while also addressing challenges like infrastructural limitations, teacher readiness, societal resistance. The discussion includes important ethical considerations, such as data privacy algorithmic fairness, underscoring need responsible integration. By synthesizing existing literature, paper clarifies complex relationship between suggests avenues further research. Collaboration among policymakers, administrators, students, technology developers is crucial ensure that benefits all learners Bangladesh. research some key issues are essence inform guidelines developing a more inclusive operational structure

Язык: Английский

---

Navigating anxiety in academia: the role of generative artificial intelligence

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Фев. 12, 2025

Язык: Английский

---

Adopting AI in education: optimizing human resource management considering teacher perceptions

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Фев. 19, 2025

There is an intense concern in various fields, order to quantify the most complete and explicit way impact that accelerated development of technology basis AI has on education. A very special issue this context represented by teaching methods techniques used teachers. Still, develop refine new based necessary perceptions attitudes toward general its application education become positive people be open experiences using it. The present research explores how different variables like perception towards inclusion Generative tools within materials development, degree familiarity, challenges implementation education, importance process, resilience change can influence perceived utility fostering attitude it usage intention among results are showing exerted above assessed empirical model explain teachers use effectively at levels didactic activity. Implications level human resources management also discussed.

Язык: Английский

---

The Future of Learning: AI-Driven Personalized Education

SSRN Electronic Journal, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

---

Exploring the Adoption Phenomenon of Artificial Intelligence by Doctoral Students Within Doctoral Education

New Horizons in Adult Education and Human Resource Development, Год журнала: 2024, Номер 36(4), С. 248 - 262

Опубликована: Окт. 9, 2024

The adoption of artificial intelligence (AI) in academia is an emerging field interest. However, there scant literature that explores the phenomenon AI by graduate students doctoral education. This study employs collaborative autoethnography to explore and better understand nuances how experience technologies within academic pursuits. A critical analysis data revealed collective researcher-participant experiences offered primary overarching theme strategy, with four distinct subthemes: fear, resistance, feasibility, ethics. findings suggest a balanced approach depends on development comprehensive strategies are informed deep understanding both technological capabilities human factors involved. We urge educators involved programs think critically about these identified themes. For students, this offers valuable insights into challenges associated integrating formal learning environments, potentially enhancing management strategy for their studies. Educators tasked evaluating coursework may develop deeper encounter during process.

Язык: Английский

---

Enhancing risk management in hospitals: leveraging artificial intelligence for improved outcomes

Italian Journal of Medicine, Год журнала: 2024, Номер 18(2)

Опубликована: Апрель 15, 2024

In hospital settings, effective risk management is critical to ensuring patient safety, regulatory compliance, and operational effectiveness. Conventional approaches assessment mitigation frequently rely on manual procedures retroactive analysis, which might not be sufficient recognize respond new risks as they arise. This study examines how artificial intelligence (AI) technologies can improve in healthcare facilities, fortifying safety precautions guidelines while improving the standard of care overall. Hospitals proactively identify mitigate risks, optimize resource allocation, clinical outcomes by utilizing AI-driven predictive analytics, natural language processing, machine learning algorithms. The different applications AI are discussed this paper, along with opportunities, problems, suggestions for their use settings.

Язык: Английский

---

The role of artificial intelligence in digital education

Scientific Papers of Silesian University of Technology Organization and Management Series, Год журнала: 2024, Номер 2024(195)

Опубликована: Янв. 1, 2024

The article presents a bibliometric analysis of studies in the artificial intelligence field, with principal source scientific articles selected being academic platform Scopus.Design/methodology/approach: content 3365 open access research has been taken into consideration from 2019 and 2024 years.The search documents related to "artifical intelligence" "in" "education" issue title, abstract keywords.The was performed using VosWiever program.Findings: study showed that AI assesses students' skills requirements machine learning, then utilizes findings develop disseminate personalized or tailored information improves learning via increased retention uptake.AI for students by providing them possibilities experiential hands-on particularly when paired other technologies like virtual reality, 3-D, gaming, simulation.Research limitations/implications: first limitation is result papers reviews were deal intelligence.Since broad variety fields are included field intelligence, may vary if publications domains completely account.Consequently, one should use extreme caution extrapolating study's conclusions vast domain intelligence.Another timeline (2019-2024); future results since we anticipate new topics, concepts, techniques will emerge expanding which significantly change outcomes our study.Finally, data came Scopus, it's possible this impacted some Scopus's restrictions.Practical implications: manuscript can be guide universities on what need as well how improve didactic process.Originality/value: Manuscript fills gap main role education area student life-cycle university effectiveness.

Язык: Английский

---

Democratizing Education AI and OpenAI Models for Global Access to Knowledge

Advances in higher education and professional development book series, Год журнала: 2024, Номер unknown, С. 79 - 92

Опубликована: Июнь 5, 2024

This chapter delves into an examination of the role artificial intelligence models in democratization education. The central focus study revolves around utilization AI-supported technologies education, with particular emphasis on enhancing learning experience and ensuring accessibility to education knowledge. Moreover, comprehensively addresses advantages employing AI process transitioning towards democratizing along potential challenges encountered during adaptation phase, aiming comprehend their overall impact. Additionally, provides nuanced insights various applications usage fields for diverse technologies. In conclusion, it underscores that effective efficient deployment these is contingent upon a holistic consideration ethical, regulatory, social issues.

Язык: Английский

---

Can Multimodal Large Language Models Enhance Performance Benefits Among Higher Education Students? An Investigation Based on the Task–Technology Fit Theory and the Artificial Intelligence Device Use Acceptance Model

Sustainability, Год журнала: 2024, Номер 16(23), С. 10780 - 10780

Опубликована: Дек. 9, 2024

The current study highlights the potential of multimodal large language models (MLLMs) to transform higher education by identifying key factors influencing their acceptance and effectiveness. Aligning technology features with educational needs can enhance student engagement learning outcomes. examined role MLLMs in enhancing performance benefits among students, using task–technology fit (T-TF) theory artificial intelligence device use (AIDUA) model. A structured questionnaire was used assess perceptions 550 Saudi university students from various academic disciplines. data were analyzed via structural equation modeling (SEM) SmartPLS 3.0. findings revealed that social influence negatively affected effort expectancy regarding hedonic motivation also related expectancy. for MLLMs. Effort associated T-TF context. In contrast, task characteristics significantly influenced T-TF, which positively impacted both willingness accept strong relationship found between adoption improved benefits. empower educators strategically strategically, driving transformative

Язык: Английский

---