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Title:Raba umetne inteligence pri učenju in poučevanju v obveznem izobraževanju : integrativni pregled literature
Authors:ID Klančar, Andreja (Author)
ID Lekan Kraševec, Tina (Author)
ID Štemberger, Tina (Author)
Files:.pdf ZUP_Klancar_Andreja_2025.pdf (236,51 KB)
MD5: D0A08CB8B5A17BBD2B813C252D43ECD9
 
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:Umetna inteligenca (UI) je postala del našega vsakdana, pri čemer se, ko gre za področje vzgoje in izobraževanja, tako v javnosti kot tudi v stroki pojavljajo različni argumenti za in proti njeni rabi v vzgojno-izobraževalni praksi. Prav zato smo želeli preveriti, kaj kažejo doslej opravljene raziskave, in sicer smo iskali odgovora na dve vprašanji: (i) kakšne vrste raziskav o rabi UI v obveznem izobraževanju so bile opravljene doslej ter (ii) kaj kažejo izsledki raziskav o rabi UI v obveznem izobraževanju. V ta namen smo opravili integrativni pregled literature, ki je temeljil na protokolu PRISMA. Iskanje literature je bilo izvedeno v podatkovnih bazah Scopus, Web of Science in ACM Digital Library z uporabo vnaprej določenih vključitvenih ter izključitvenih kriterijev. V končno vsebinsko analizo je bilo vključenih skupno šest prispevkov. Zbrani podatki so bili analizirani z metodo vsebinske analize. Ugotovili smo, da je področje rabe umetne inteligence v obveznem izobraževanju izjemno slabo raziskano. Rezultati obstoječih raziskav nakazujejo, da je treba učencem omogočiti, da aktivno participirajo pri odločitvah o rabi UI pri učenju in poučevanju ter da je učiteljevo razumevanje vloge UI v izobraževanju pomemben dejavnik vključevanja UI. Slednje mora seveda podpirati tudi vodstvo šole, pri čemer se kot trenutno zelo smiselna usmeritev zdi sodelovanje šole z zunanjimi strokovnjaki, ki bi učitelje opolnomočili na tem področju. Analiza pokaže tudi, da so bile raziskave večinoma izpeljane na osnovi kvantitativnega raziskovalnega pristopa, s čimer je smiselno tudi intenzivneje nadaljevati, saj so rezultati teh raziskav ključni tako za (i) oblikovanje izobraževalne politike, ki temelji na empiričnih dokazih, kot tudi (ii) za smiselno implementacijo uporabe UI v neposredni vzgojno-izobraževalni praksi
Keywords:umetna inteligenca, obvezno izobraževanje, izobraževalna politika, epistemologija
Publication status:Published
Publication version:Version of Record
Year of publishing:2025
Number of pages:str. 161-180
PID:20.500.12556/RUP-22332 This link opens in a new window
UDC:37:004.8
DOI:10.26493/978-961-293-431-6.8 This link opens in a new window
COBISS.SI-ID:242267139 This link opens in a new window
Publication date in RUP:23.12.2025
Views:189
Downloads:2
Metadata:XML DC-XML DC-RDF
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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

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P5-0444-2023
Name:Vseživljenjsko učenje za trajnostno družbo prihodnosti

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:The use of artificial intelligence in learning and teaching in compulsory education : An Integrative Literature Review
Abstract:Artificial intelligence (AI) has become a part of our everyday life, and when it comes to education, different arguments for and against its use in educational practice are emerging both in the public and in academia. We therefore wanted to examine what the research conducted so far shows, with two objectives: (i) What types of research on the use of AI in compulsory education have been conducted so far, and (ii) What do the research findings on the use of AI in compulsory education show? To this end, an integrative literature review based on the PRISMA protocol was conducted. The literature search was carried out in the Scopus, Web of Science and ACM Digital Library databases using predefined inclusion and exclusion criteria. A total of 6 papers were included in the final content analysis. The data collected were analysed using the content analysis method. The results show that the use of AI in compulsory education is extremely under-researched. The results of existing research suggest that pupils need to be enabled to actively participate in decisions about the use of AI in learning and teaching, and that teachers‘ understanding of the role of AI in education is an important factor in the integration of AI. The latter must naturally be supported by the school management, and at the moment it seems a very sensible direction for the school to work with external experts to empower teachers in this area. The analysis also shows that the research has mostly been carried out on the basis of a quantitative research approach, and it makes sense to continue with this approach more intensively, as the results of this research are crucial both for (i) the design of educational policy based on empirical evidence, and for (ii) the meaningful implementation of the use of AI in direct educational practice.
Keywords:artificial intelligence, compulsory education, education policy


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