AI-Driven Transformations in Higher Education: A Citation and Co-citation Analysis DOI Creative Commons

Shweta Shweta,

Priyalaxmi Gurumayum,

Neelu Tiwari

и другие.

International Journal of experimental research and review, Год журнала: 2024, Номер 45(Spl Vol), С. 261 - 273

Опубликована: Ноя. 30, 2024

Integrating artificial intelligence (AI) in the educational field can revolutionize teaching and learning outcomes, increase research capacity, expedite administrative processes. The application of AI-powered virtual aids, customized platforms, intelligent boost engagement students, offer real-time feedback support, aid learning. Additionally, AI-based systems may automate repetitive processes like financial processing, enrolment, admissions, freeing up important resources for more strategic endeavors. Thus, this study aims to synthesize literature exploring AI’s impact on higher education through citation co-citation analysis. Data from Scopus database 2015 2024 yielded 1140 papers. data was analyzed using Biblioshiny Vosviwer software determine publishing pattern, most cited papers, prolific writers, sources, nations, network co-citations between authors references. findings reveal a sharp rapid growth (79.24%) industry, suggesting significant spike interest. In terms overall citations, UK became one top countries (1689). author "Tan S" obtained citations (1869) with 10 publications, whereas "Kerr "Poenici Sad" produced just article had highest average (588). "Research And Practice Technology-Enhanced Learning" "Journal Applied Learning Teaching" were influential journals total respectively. uniqueness is that it assesses AI's impacts fields business management as well social science outcomes will have substantial implications help professionals, researchers, decision-makers create policies.

Язык: Английский

Correlation Between Computational Fluid Dynamics (CFD) and Nanotechnology DOI Creative Commons

Nor Azwadi Che Sidik,

Dwi Fitria Al Husaeni, Asep Bayu Dani Nandiyanto

и другие.

Journal of Advanced Research in Micro and Nano Engieering, Год журнала: 2024, Номер 21(1), С. 16 - 40

Опубликована: Июль 31, 2024

This research aims to find the relationship between Computational Fluid Dynamics (CFD) and nanotechnology carry out bibliometric analysis determine trends in CFD nanotechnology. used methods. The keywords are "Computational (CFD)" "Nanotechnology". data processing carried quantitatively based on principles of analysis. search results show that year range for publication articles Nanotechnology is from 2001 - 2024 with a total 193 documents. this very close. because provides an important tool understanding, designing, optimizing various processes devices at nanoscale. Additionally, enables faster more efficient progress applications. Based developments, development article publications Scopus has tendency increase beginning 2024. In research, it known topic become trend period 2012 2019 highest 2016. Meanwhile, became 2010 2018 2014. can be caused by significant technological methodological advances since Industrial Revolution 4.0 which began 21st century until now. as consideration reference further will discuss

Язык: Английский

Процитировано

1
The Role of Artificial Intelligence in English Language and Literature Reading Management DOI Open Access

Xisheng Chen

International Journal of Information and Communication Technology Education, Год журнала: 2024, Номер 20(1), С. 1 - 16

Опубликована: Май 7, 2024

Firstly, this paper analyzes the role of AI in reading management English language and literature, establishes implicit knowledge base neural network, designs auxiliary system for learning optimizes literature model AI. The experimental results show that its efficiency is increased by 0.48%, performance credibility improved 0.53% compared with original system, which greatly running time system. To some extent, it helps users to manage their reading, improves users' quality. Based on advantage algorithm, introduces algorithm training process grid, constructs a assisted based can better meet needs management.

Язык: Английский

Процитировано

0
AI-Driven Transformations in Higher Education: A Citation and Co-citation Analysis DOI Creative Commons

Shweta Shweta,

Priyalaxmi Gurumayum,

Neelu Tiwari

и другие.

International Journal of experimental research and review, Год журнала: 2024, Номер 45(Spl Vol), С. 261 - 273

Опубликована: Ноя. 30, 2024

Integrating artificial intelligence (AI) in the educational field can revolutionize teaching and learning outcomes, increase research capacity, expedite administrative processes. The application of AI-powered virtual aids, customized platforms, intelligent boost engagement students, offer real-time feedback support, aid learning. Additionally, AI-based systems may automate repetitive processes like financial processing, enrolment, admissions, freeing up important resources for more strategic endeavors. Thus, this study aims to synthesize literature exploring AI’s impact on higher education through citation co-citation analysis. Data from Scopus database 2015 2024 yielded 1140 papers. data was analyzed using Biblioshiny Vosviwer software determine publishing pattern, most cited papers, prolific writers, sources, nations, network co-citations between authors references. findings reveal a sharp rapid growth (79.24%) industry, suggesting significant spike interest. In terms overall citations, UK became one top countries (1689). author "Tan S" obtained citations (1869) with 10 publications, whereas "Kerr "Poenici Sad" produced just article had highest average (588). "Research And Practice Technology-Enhanced Learning" "Journal Applied Learning Teaching" were influential journals total respectively. uniqueness is that it assesses AI's impacts fields business management as well social science outcomes will have substantial implications help professionals, researchers, decision-makers create policies.

Язык: Английский

Процитировано

0