Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis

Sustainability, Год журнала: 2023, Номер 15(17), С. 12983 - 12983

Опубликована: Авг. 29, 2023

In the ever-evolving era of technological advancements, generative artificial intelligence (GAI) emerges as a transformative force, revolutionizing education. This review paper, guided by PRISMA framework, presents comprehensive analysis GAI in education, synthesizing key insights from selection 207 research papers to identify gaps and future directions field. study begins with content that explores GAI’s impact specific educational domains, including medical education engineering The versatile applications encompass assessment, personalized learning support, intelligent tutoring systems. Ethical considerations, interdisciplinary collaboration, responsible technology use are highlighted, emphasizing need for transparent models addressing biases. Subsequently, bibliometric is conducted, examining prominent AI tools, focus, geographic distribution, collaboration. ChatGPT dominant tool, reveals significant exponential growth 2023. Moreover, this paper identifies promising directions, such GAI-enhanced curriculum design longitudinal studies tracking its long-term on outcomes. These findings provide understanding potential reshaping offer valuable researchers, educators, policymakers interested intersection

Язык: Английский

---

The role of artificial intelligence in generating original scientific research

International Journal of Pharmaceutics, Год журнала: 2024, Номер 652, С. 123741 - 123741

Опубликована: Янв. 3, 2024

Artificial intelligence (AI) is a revolutionary technology that finding wide application across numerous sectors. Large language models (LLMs) are an emerging subset of AI and have been developed to communicate using human languages. At their core, LLMs trained with vast amounts information extracted from the internet, including text images. Their ability create human-like, expert in almost any subject means they increasingly being used as aid presentation, particularly scientific writing. However, we wondered whether could go further, generating original research preparing results for publication. We tasked GPT-4, LLM, write pharmaceutics manuscript, on topic itself novel. It was able conceive hypothesis, define experimental protocol, produce photo-realistic images printlets, generate believable analytical data range instruments convincing publication-ready manuscript evidence critical interpretation. The model achieved all this less than 1h. Moreover, generated were multi-modal nature, thermal analyses, vibrational spectroscopy dissolution testing, demonstrating multi-disciplinary expertise LLM. One area which failed, however, referencing literature. Since appeared though, suggest certainly play role but input, interpretation validation. discuss potential benefits current bottlenecks realising ambition here.

Язык: Английский

---

ChatGPT in Teaching and Learning: A Systematic Review

Education Sciences, Год журнала: 2024, Номер 14(6), С. 643 - 643

Опубликована: Июнь 14, 2024

The increasing use of artificial intelligence (AI) in education has raised questions about the implications ChatGPT for teaching and learning. A systematic literature review was conducted to answer these questions, analyzing 112 scholarly articles identify potential benefits challenges related educational settings. selection process thorough ensure a comprehensive analysis current academic discourse on AI tools education. Our research sheds light significant impact improving student engagement accessibility critical issues that need be considered, including concerns quality bias generated responses, risk plagiarism, authenticity content. study aims summarize utilizations learning by addressing identified through targeted strategies. authors outlined some recommendations will integration into frameworks enhances outcomes while safeguarding standards.

Язык: Английский

---

Unveiling the landscape of generative artificial intelligence in education: a comprehensive taxonomy of applications, challenges, and future prospects

Education and Information Technologies, Год журнала: 2024, Номер unknown

Опубликована: Авг. 13, 2024

Язык: Английский

---

Large Language Models (LLMs) in Engineering Education: A Systematic Review and Suggestions for Practical Adoption

Information, Год журнала: 2024, Номер 15(6), С. 345 - 345

Опубликована: Июнь 12, 2024

The use of large language models (LLMs) is now spreading in several areas research and development. This work concerned with systematically reviewing LLMs’ involvement engineering education. Starting from a general question, two queries were used to select 370 papers the literature. Filtering them through inclusion/exclusion criteria led selection 20 papers. These investigated based on eight dimensions identify disciplines that involve LLMs, where they are most present, how this takes place, which LLM-based tools used, if any. Addressing these key issues allowed three more specific questions be answered, offering clear overview current LLMs outcomes provide insights into potential challenges transforming education, contributing its responsible effective future implementation. review’s could help address best ways education activities measure their effectiveness as time progresses. For reason, study addresses suggestions improve systematic review conforms rules literature regarding quality assessments order make results objective possible easily replicable.

Язык: Английский

---

Meta-Analysis and Analytical Methods in Cosmetics Formulation: A Review

Cosmetics, Год журнала: 2023, Номер 11(1), С. 1 - 1

Опубликована: Дек. 19, 2023

The ever-evolving cosmetic industry requires advanced analytical techniques to explore, understand, and optimize product performance at nano, micro, macroscopic levels. Nowadays, these insights are crucial for translating microstructure behavior into properties. This knowledge is essential formulate products with a lower carbon footprint higher sustainability profile, incorporating, the same time, natural or biobased raw materials. These materials may present challenges formulators scientists due either an inferior when compared their fossil-derived counterparts costs. comprehensive review covers spectrum of methodologies employed in formulation, including chromatographic analyses, olfactometry, electronic nose technology. characterization stability involving assessing parameters such as droplet size, zeta potential, viscosity, centrifugation, surface tension, interfacial tension also explored. discussion this paper extends role rheology understanding molecular structure behavioral dynamics samples. concludes overview colorimetric analysis, aspect related consumer perception, followed by on opportunities associated using meta-analysis cosmetics. formulation cosmetics employing feedstocks included, highlighting evolving landscape science integration sustainable practices. stands interface between performance, which attained through detailed examination each method. know-how shared serves valuable resource formulators, researchers, professionals real-world applications field formulation.

Язык: Английский

---

Rueda de la Pedagogía para la Inteligencia Artificial: adaptación de la Rueda de Carrington

RIED Revista Iberoamericana de Educación a Distancia, Год журнала: 2023, Номер 27(1), С. 87 - 113

Опубликована: Сен. 21, 2023

La integración efectiva de la Inteligencia Artificial (IA) en educación es necesaria para aprovechar sus beneficios el proceso enseñanza-aprendizaje. Este artículo propone adaptación Rueda Pedagogía Carrington a una IA, con fin ofrecer un marco pedagógico integrar IA educación. metodología investigación utilizada se basa revisión y mapeo sistemático junto estudio bibliométrico del análisis co-ocurrencia términos identificar los clusters temáticos relevantes que respalden científicamente necesidad Rueda. nueva rueda atiende cuatro obtenidos (Integración mejorar educación, Uso tecnologías educativa enseñanza aprendizaje, Diseño e innovación pedagógica Educación Sostenible Ética) presenta anillos concéntricos explican cómo incorporar gradualmente diferentes niveles cognitivos (Taxonomía Bloom) tecnológica (Modelo SAMR) ambos adaptados ejemplos herramientas aplicaciones. Además, incluye nivel Reflexivo-Metacognitivo aborda ética responsabilidad uso IA. En conclusión, adaptada opción viable eficacia eficiencia condición docentes participen planificación ejecución aprendizaje garantizar su éxito. Cabe mencionar importancia mantener actualizada debido aparición constante nuevas

---

A Decade of Innovation Ecosystem Development: Bibliometric Review of Scopus Database

Sustainability, Год журнала: 2023, Номер 15(23), С. 16386 - 16386

Опубликована: Ноя. 28, 2023

The paper focuses on the bibliometric review of Scopus database in field innovation ecosystem development, aiming to reveal key trends this fast-growing area interdisciplinary research terms different quantitative and qualitative parameters. analysis followed PRISMA protocol guidelines for finding extracting relevant scholarly papers based selected national, institutional, demographic, scientific variables. procedure resulted 401 open-access articles published topic development from 2013 2023. findings indicate that has seen late growth, which is a sign still underexplored fields potential pioneers. Researchers institutions Nordic countries UK are most active as far publications concerned. However, researchers USA, Australia, dominate citation records. Research collaborations help increase productivity levels. cited fall into 4 clusters citations: innovation, smart tourism, digitalization, entrepreneurship. Future synergies can also be envisaged with domains sustainable environment.

Язык: Английский

---

Impacto de la inteligencia artificial en la Institución Universitaria Americana en la ciudad de Barranquilla

Ad-gnosis, Год журнала: 2024, Номер 13(13), С. 1 - 22

Опубликована: Янв. 26, 2024

Introducción: La Inteligencia Artificial (IA), actualmente se ha convertido en la tecnología evolutiva que más está transformando sociedad, incluyendo los aspectos de enseñanza-aprendizaje el ámbito educación superior; pero esto puede conducir a pérdida habilidades y competencias humanas fundamentales debido una dependencia excesiva por parte estudiantes. Objetivo: El presente artículo busca examinar impacto tendrá inteligencia artificial procesos académicos Institución Universitaria Americana; Metodología: investigación abordó con enfoque mixto, un tipo estudio descriptivo – reflexivo diseño no experimental corte transversal haciendo especial énfasis, incidencia las IA educación; donde hizo teorización IA, universidades Colombia, asimismo, realizaron unas entrevistas dirigidas docentes. Resultados: fue relevante hallazgo estudiantes docentes consideran positivo mejorará educativos, así como fortalecimiento IA. Conclusiones: existe potencial adaptación aprendizaje; lo es imperante capacitar preparar adecuadamente al personal académico administrativo fuerza transformadora para instituciones educativas.

---

Artificial intelligence and sustainability in higher education: a bibliometric analysis and its relations with the UN SDGs

Concilium, Год журнала: 2024, Номер 24(3), С. 229 - 248

Опубликована: Фев. 22, 2024

This research aimed to analyze the importance of artificial intelligence and sustainability in higher education according literature field present relationships this context with United Nations Sustainable Development Goals (SDGs). The adopted strategies included bibliometric analysis using VOSviewer software review, considering Web Science scientific database. resulted clustering four groups. blue cluster highlighted emergence interest studies on AI following Covid-19 pandemic. green emphasized more efficient teaching methods adapted demands education, as well need empower teachers use developing students' skills competencies, emphasizing sustainability. yellow indicated presence based triad sustainable innovation, aiming prepare students for future challenges. red impact focusing student learning, efficiency, performance. Finally, identified main technologies their relationship SDGs. reflections presented here can contribute expanding discussions between education. From a practical standpoint, it serve foundation university managers promote integration into processes,

Язык: Английский

---