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Title:Raziskovalni trendi na področju generativne umetne inteligence v izobraževanju v obdobju med 2014 in 2024
Authors:ID Drljić, Karmen (Author)
ID Čotar Konrad, Sonja (Author)
Files:.pdf ZUP_Drljic_Karmen_2025.pdf (1,41 MB)
MD5: 4B941B1E7BE0775110BB756721571629
 
Language:Slovenian
Work type:Unknown
Typology:1.16 - Independent Scientific Component Part or a Chapter in a Monograph
Organization:ZUP - University of Primorska Press
Abstract:V zadnjem desetletju se izobraževanje vse bolj prepleta z digitalnimi tehnologijami, zlasti umetno inteligenco, kar prinaša nove priložnosti in izzive. Generativna umetna inteligenca (GUI), kot je ChatGPT, omogoča personalizacijo učenja in avtomatizacijo raziskovalnih nalog. Kljub njenim prednostim se v povezavi z njeno rabo v izobraževanju pojavljajo tudi pomembna etična in varnostna tveganja, kot so dezinformacije in vprašanja avtorskih pravic. Različne raziskave v mednarodnem prostoru se osredotočajo na vključevanje GUI v pedagoške in didaktične prakse, kar kaže na rastoč interes za to področje v akademskem svetu. Pričujoča raziskava se osredotoča na bibliometrično analizo znanstvenih objav o GUI v izobraževanju med letoma 2014 in 2024. Z zbiranjem podatkov iz baze Scopus je bilo identificiranih 704 relevantnih člankov. Anali za, izvedena s programsko opremo VOSviewer, raziskuje raziskovalne trende, geografsko razporeditev in vplivne avtorje na tem področju ter obravnava pedagoške vidike uporabe GUI v izobraževanju. Analiza geografske prisotnosti raziskav o GUI v izobraževanju je pokazala, da so vodilne države ZDA, Avstralija in Kitajska. Ugotovljeni so bili štirje grozdi držav glede na njihovo povezanost. Med vodilnimi avtorji sta najbolj citirana N. Pervin in A. Yusuf. Analiza ključnih pojmov je razkrila 231 relevantnih pojmov, pri čemer so se najpogosteje pojavljali izrazi, kot so »učitelj«, »gpt« in »slika«. Glavna raziskovalna področja vključujejo pedagoške, tehnične, pravno-etične in organizacijske vidike GUI v povezavi s STEM, z jezikovnim učenjem in s spodbujanjem ustvarjalnosti. Prispevek poudarja širino raziskav, vizualizira raziskovalna omrežja ter izpostavlja potrebe po dopolnitvi analize z drugimi bazami, kot je Web of Science.
Keywords:generativna umetna inteligenca, izobraževanje, bibliometrija, raziskovanje
Publication status:Published
Publication version:Version of Record
Year of publishing:2025
Number of pages:str. 145-159
PID:20.500.12556/RUP-22331 This link opens in a new window
UDC:37:004.8
DOI:10.26493/978-961-293-431-6.7 This link opens in a new window
COBISS.SI-ID:245342211 This link opens in a new window
Publication date in RUP:23.12.2025
Views:192
Downloads:0
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Record is a part of a monograph

Title:Izobraževanje v dobi generativne umetne inteligence : mednarodne smernice in raziskave
Editors:Andrej Flogie, Sonja Čotar Konrad
Place of publishing:Koper
Publisher:Založba Univerze na Primorskem
Year of publishing:2025
ISBN:978-961-293-431-6
COBISS.SI-ID:237356291 This link opens in a new window
Collection title:Knjižnica Ludus
Collection numbering:58
Collection ISSN:2630-3809

Licences

License:CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
Link:http://creativecommons.org/licenses/by-sa/4.0/
Description:This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.

Secondary language

Language:English
Title:Research trends in the field of generative artificial intelligence in education, 2014–2024
Abstract:In the past decade, the integration of digital technologies and particularly artificial intelligence into education has grown substantially, creating both opportunities and challenges. Generative AI tools such as ChatGPT have enabled personalized learning experiences and the automation of research tasks. However, their use also raises significant ethical and security concerns, including risks of misinformation and copyright violations. Increasing academic interest in this area is evident from numerous international research initiatives exploring the application of generative AI in pedagogy and didactics. This study conducts a bibliometric analysis of research on Generative Artificial Intelligence in Education published between 2014 and 2024. Using data from the Scopus database, 704 relevant articles were analyzed with the VOSviewer software to identify research trends, geographical distribution, key authors, and pedagogical applications of generative AI in education. The findings reveal that the USA, Australia, and China are leading in research output, with four clusters of countries connected by collaborative networks. Notably, authors N. Pervin and A. Yusuf emerged as the most cited in the field. The analysis identified 231 key terms, with ‚teacher,‘ ‚gpt,‘ and ‚image‘ being the most frequently mentioned. Key research areas include the pedagogical, technical, legal-ethical, and organizational aspects of generative AI, with a focus on STEM education, language learning, and creativity enhancement. The study underscores the extensive scope of existing research, maps out collaborative networks, and suggests expanding the analysis to include other databases, such as Web of Science.
Keywords:generative artificial intelligence, education, bibliometrics, research


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