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Title:Raziskovalno delo s pomočjo umetne inteligence : priročnik
Authors:ID Zakrajšek, Srečo (Author)
Files:.pdf RAZISKOVALNO_DELO__S_POMOCJO_UI_-_KONCNA_VERZIJA_20.9.2025.pdf (5,14 MB)
MD5: 3890FDC106BA8D8BE090D3C6E2FFFF24
 
Language:Slovenian
Work type:Unknown
Typology:2.02 - Professional Monograph
Organization:FUDS - School of advanced social studies
Abstract:Priročnik: Raziskovalno delo s pomočjo umetne inteligenc združuje temeljna načela raziskovalne metodologije z novimi možnostmi uporabe umetne inteligence (UI) pri raziskavah. Predstavlja različne raziskovalne metodologije (kvantitativne, kvalitativne, mešane metode, eksperimentalne, deskriptivne, primerjalne, zgodovinsko-analitične in akcijsko raziskovanje) ter ponuja praktične vzorce načrtov iz izvedbe raziskav. Avtor opozarja na pomen etike, verodostojnosti in zanesljivosti podatkov ter predlaga, kako lahko UI pripomore k hitrejšemu načrtovanju, obdelavi podatkov, pisanju poročil in refleksiji. Delo je namenjeno predvsem študentom, raziskovalcem in praktikom, ki želijo združiti klasične raziskovalne pristope z naprednimi digitalnimi orodji.
Keywords:ChatGPT, umetna inteligenca, raziskovalno delo, raziskovalne metodologije, priročniki
Place of publishing:Ljubljana
Place of performance:Ljubljana
Publisher:samozal.
Year of publishing:2025
Year of performance:2025
Number of pages:354 str.
PID:20.500.12556/ReVIS-12325 New window
COBISS.SI-ID:249774595 New window
UDC:004.5
Publication date in ReVIS:29.09.2025
Views:152
Downloads:10
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Secondary language

Language:English
Abstract:Handbook: Research Work with the Help of Artificial Intelligence combines the fundamental principles of research methodology with new possibilities for applying artificial intelligence (AI) in research. It presents various research methodologies (quantitative, qualitative, mixed methods, experimental, descriptive, comparative, historical-analytical, and action research) and provides practical samples of research planning and implementation. The author highlights the importance of ethics, validity, and reliability of data, and suggests how AI can support faster planning, data processing, report writing, and reflection. The work is intended primarily for students, researchers, and practitioners who wish to combine classical research approaches with advanced digital tools.


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