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Umetna inteligenca kot vsebina in orodje
chnology and Teacher Education, 23(1). https://citejournal.org/volume
-23/issue-1-23/editorial/editorial-chatgpt-challenges-opportunities-and
-implications-for-teacher-education
UNESCO. (2021). Recommendation on the ethics of artificial intelligence.
Univerza na Primorskem, Pedagoška fakulteta. (2024, 4. julij). Nov projekt: Ge-
nerativna umetna inteligenca v izobraževanju. https://www.pef.upr.si/sl
/novice/2024070409383505/nov-projekt-generativna-umetna
-inteligenca-v-izobrazevanju
Villarroel, V., Bloxham, S., Bruna, D., Bruna, C., in Herrera-Seda, C. (2018). Authen-
tic assessment: Creating a blueprint for course design. Assessment & Eva-
luation in Higher Education, 43(5), 840–854.
Yusuf, A., in Pervin, N. (2024). Generative AI and the future of higher education:
A threat to academic integrity or reformation? Evidence from multicultu-
ral perspectives. International Journal of Educational Technology in Higher
Education, 21(1), 21.
Zawacki-Richter,O.,Marín,V.I.,Bond,M.,inGouverneur,F.(2019).Systematicre-
view of research on artificial intelligence applications in higher education:
Where are the educators? International Journal of Educational Technology
in Higher Education, 16(1), 39.
Artificial Intelligence as Content and as a Tool: Frameworks,
Opportunities, Risks, and Guidelines for Education
Artificial Intelligence (AI) is a ubiquitous reality that is profoundly reshaping
society and challenging educational systems. This paper provides a critical
overview of AI’s integration into education, referencing its dual nature as both
a fundamental science and a powerful tool, symbolised by the 2024 Nobel
Prizes. It analyses theoretical frameworks from organisations like UNESCO and
OECD, alongside Slovenian initiatives such as the national project ‘Generative
AI in Education.’ The paper delves into didactic opportunities, such as per-
sonalisation, alongside systemic risks, including superficial learning, teacher
deskilling, and algorithmic bias. Using established didactic models (Bloom’s
Taxonomy, SAMR, TPACK), a case study from a Slovenian secondary school is
analysed to illustrate how AI can foster higher-order cognitive skills. It also
addresses ethical challenges such as data protection, presenting institutional
guidelines. Finally, multi-level guidelines are provided for educators and insti-
tutions, aimed at developing critical AI literacy and twenty-first-century com-
petences.
Keywords: Generative AI, AI literacy, didactic models, TPACK, ethics
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