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master's thesis
Učenje programiranja alatima umjetne inteligencije
Pula: University of Pula, 2024. urn:nbn:hr:137:655432
Mamula, Saša
University of Pula
Faculty of Informatics in Pula

Institutional repository: Digital Repository Juraj Dobrila University of Pula

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Mamula, S. (2024). Učenje programiranja alatima umjetne inteligencije (Master's thesis). Pula: University of Pula. Retrieved from https://urn.nsk.hr/urn:nbn:hr:137:655432

Mamula, Saša. "Učenje programiranja alatima umjetne inteligencije." Master's thesis, University of Pula, 2024. https://urn.nsk.hr/urn:nbn:hr:137:655432

Mamula, Saša. "Učenje programiranja alatima umjetne inteligencije." Master's thesis, University of Pula, 2024. https://urn.nsk.hr/urn:nbn:hr:137:655432

Mamula, S. (2024). 'Učenje programiranja alatima umjetne inteligencije', Master's thesis, University of Pula, accessed 29 April 2024, https://urn.nsk.hr/urn:nbn:hr:137:655432

Mamula S. Učenje programiranja alatima umjetne inteligencije [Master's thesis]. Pula: University of Pula; 2024 [cited 2024 April 29] Available at: https://urn.nsk.hr/urn:nbn:hr:137:655432

S. Mamula, "Učenje programiranja alatima umjetne inteligencije", Master's thesis, University of Pula, Pula, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:137:655432

Metadata
TitleUčenje programiranja alatima umjetne inteligencije
Title (english)Learning to program with artificial intelligence tools
AuthorSaša Mamula
MentorDarko Etinger (mentor)
MentorSnježana Babić (komentor)
Committee memberTihomir Orehovački (predsjednik povjerenstva)
Committee memberNikola Tanković (član povjerenstva)
GranterUniversity of Pula
(Faculty of Informatics in Pula)
Pula
Defense date and country2024-02-02, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Information Systems and Information Science
Abstract
Stalni napredak umjetne inteligencije rezultirao je velikim tehnološkim otkrićima i unapređivanju rada svih alata za programiranje koji imaju mogućnost korištenja umjetne inteligencije. Korištenje alata podržanih umjetnom inteligencijom uvelike ubrzava učenje i otkrivanje grešaka kod studenata što poboljšava i unapređuje njihovu želju za učenjem i stalnim razvijanjem. Empirijsko istraživanje vezano za korištenje alata podržanih umjetnom inteligencijom za pomoć pri učenju programiranja provedeno je u sklopu ovog rada. Metodologija obuhvaća provođenje anketnog istraživanja među studentima kako bi se prikupile relevantne informacije o njihovoj percepciji i iskustvima u vezi s korištenjem alata podržanih umjetnom inteligencijom. Anketni upitnik prilagođen je studentima vezan za ovo istraživanje te je distribuiran među 102 studenata na Fakultetu informatike u Puli. Rezultati istraživanja pružit će uvid u trenutno stanje i prihvaćenost alata podržanih umjetnom inteligencijom među studentima, kao i identifikaciju eventualnih izazova s kojima se susreću prilikom korištenja istih.
Abstract (english)
The continuous advancement of artificial intelligence has led to significant technological discoveries and the improvement of all programming tools with the capability of utilizing artificial intelligence. The use of AI-supported tools greatly accelerates learning and error detection among students, thereby enhancing and fostering their desire for learning and continuous development. Empirical research related to the use of AI-supported tools for programming learning assistance was conducted as part of this study. The methodology involves conducting a survey among students to collect relevant information about their perception and experiences regarding the use of AI-supported tools. The survey questionnaire was tailored to students involved in this research and was distributed among 102 students at the Faculty of Computer Science in Pula. The research results will provide insight into the current state and acceptance of AI-supported tools among students, as well as identifying any challenges they may encounter in their use.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:137:655432
Study programmeTitle: Master in Informatics; specializations in: Master in Informatics, Master in Informatics, specialisation: teaching, Master in Informatics, Master in Informatics, specialisation: teaching
Course: Master in Informatics
Study programme type: university
Study level: graduate
Academic / professional title: MAGISTAR/MAGISTRA INFORMATIKE - MAG.INF. (MAGISTAR/MAGISTRA INFORMATIKE - MAG.INF.)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-03-04 08:37:51