Ključne riječi
project-based learning
OpenAI
academic integrity
Artificial Intelligence vrednovanje znanja
učenje bazirano na projektima
OpenAI
akademski integritet
umjetna inteligencija
Kako citirati
Sažetak
Autori ovog istraživanja godinama svjedoče da je motivacija studenata za kontinuirani rad relativno niska. Kako bi povećali motivaciju studenata na samostalni rad, nastavnici na Visokom učilištu Algebra odlučili su promijeniti pristup zadnjih godina. Umjesto tjeranja studenata da uče za ispit na određene datume, studenti su dobili niz projekata koje su trebali samostalno implementirati. Rezultati istraživanja pokazali su da postoji napredak u kasnije ostvarenim rezultatima u odnosu na tradicionalne ispite. S druge strane, pojavom moćnih i besplatnih ili vrlo pristupačnih jezičnih modela kao što su oni platforme OpenAI, nastavnici se susreću sa izazovima da studenti mogu koristiti takve modele kako bi riješi projektni zadatak što je u suprotnosti sa etičkim kodeksom. Svrha ovog istraživanja je utvrditi kakve rezultate je sposoban postići jezični model platforme OpenAI ako mu se zada projektni zadatak iz određenog kolegija. Definirana su 2 istraživačka pitanja. Kakav rezultat postiže jezični model na OpenAI platformi kad mu se zada projektni zadatak iz kolegija Java web programiranje i postoji li razlika u rezultatima u odnosu na postignute rezultate studenata (Q1)? Postoji li razlika u rezultatima koje postiže jezični model u odnosu na prirodni jezik na kojem mu je zadan projektni zadatak (hrvatski ili engleski) (Q2)? Analiza rezultata pokazala je da u određenim slučajevima jezični model je sposoban riješiti ispit za prolaznu ocjenu bez dodatnih intervencija korisnika, iako su postignuti rezultati značajno slabiji od rezultata koje postižu studenti. Bolje rezultate jezični model postiže ako mu se ispit zada na engleskom jeziku u odnosu na hrvatski jezik.Reference
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