diplomsko delo
Nika Slavec (Author), Damijana Keržič (Mentor)

Abstract

Diplomsko delo obravnava vpliv uporabe jezikovnih modelov umetne inteligence na študijski proces. Študenti uporabljajo jezikovne modele za iskanje informacij, pisanje besedil, povzemanje literature in prevajanje, kar vse vpliva na kakovost njihovega akademskega dela. V teoretičnem delu je predstavljen vpliv pogovornih modelov na študijski proces in pasti uporabe med študenti. Namen raziskave, opravljene v okviru diplomskega dela, je bil analizirati uporabo jezikovnih orodij, njihove prednosti in slabosti ter etične izzive, povezane z njihovo rabo med študenti Fakultete za upravo. Metodologija je temeljila na kvantitativnem pristopu, pri čemer je bil uporabljen anketni vprašalnik. Vprašanja so bila osredotočena na pogostost uporabe jezikovnih modelov, namene njihove uporabe ter zaznane prednosti in omejitve. Zbrani podatki so bili analizirani z uporabo deskriptivnih statistik in vsebinske interpretacije odgovorov. Rezultati raziskave ponujajo vpogled v razširjenost teh orodij in njihov učinek na akademsko uspešnost ter razumevanje študijskih vsebin. Ugotovitve kažejo, da študenti jezikovne modele uporabljajo predvsem za pisanje nalog, iskanje informacij in boljše razumevanje študijskega gradiva. Študenti so izpostavili tudi etične pomisleke, kot so tveganja za plagiatorstvo, pa tudi površno razumevanje snovi in prekomerno odvisnost od tehnologije. Diplomsko delo ponuja smernice za etično in odgovorno rabo teh tehnologij ter izpostavlja potrebo po digitalni pismenosti in kritičnem presojanju informacij med študenti.

Keywords

umetna inteligenca;ChatGPT;jezikovni modeli;študijski proces;etika uporabe;digitalna pismenost;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FU - Faculty of Administration
Publisher: [N. Slavec]
UDC: 004.89:004.5-057.875(497.4)(043.2)
COBISS: 229841155 Link will open in a new window
Views: 153
Downloads: 35
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: The inpact of using AI language models on study
Secondary abstract: The thesis examines the impact of using AI language models on the study process of students at the Faculty of Administration. The research aims to analyze the application of these technologies, their advantages and limitations, as well as the ethical challenges associated with their use. Students utilize language models for information retrieval, text composition, summarization of literature, and translation, which influences the quality of their academic work. The study provides insights into the prevalence of these tools and their effects on academic performance and comprehension. The research methodology is based on a quantitative approach, employing an online survey distributed across various student profiles. The survey focused on the frequency of use, purposes, and perceived benefits and drawbacks of AI models. The collected data were analyzed through descriptive statistics and thematic interpretation. The findings reveal that students primarily use conversational models for writing assignments, information retrieval, and understanding study materials. These models have contributed to enhanced productivity, quicker access to information, and improved comprehension. However, students also identified ethical concerns, such as the risks of plagiarism, superficial understanding, and over-reliance on technology. The thesis contributes to the understanding of the potential and challenges of using AI language models in academic settings. It provides practical guidance for the ethical and responsible use of these technologies and highlights the importance of digital literacy and critical evaluation of information. The study offers practical value in developing pedagogies that integrate AI and fostering academic integrity.
Secondary keywords: artificial intelligence;ChatGPT;language models;study process;ethics of use;digital literacy;
Type (COBISS): Bachelor thesis/paper
Study programme: 1000530
Thesis comment: Univ. v Ljubljani, Fak. za upravo
Pages: IX, 47 str.
ID: 26079702