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master's thesis
Web-aplikacija za učenje stranoga pisma
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:508531
Vusić, Lucija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Vusić, L. (2019). Web-aplikacija za učenje stranoga pisma (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:508531

Vusić, Lucija. "Web-aplikacija za učenje stranoga pisma." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:508531

Vusić, Lucija. "Web-aplikacija za učenje stranoga pisma." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:508531

Vusić, L. (2019). 'Web-aplikacija za učenje stranoga pisma', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 09 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:508531

Vusić L. Web-aplikacija za učenje stranoga pisma [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 November 09] Available at: https://urn.nsk.hr/urn:nbn:hr:168:508531

L. Vusić, "Web-aplikacija za učenje stranoga pisma", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:508531

Metadata
TitleWeb-aplikacija za učenje stranoga pisma
Title (english)Web Application for Learning a Foreign Script
AuthorLucija Vusić
MentorAna Sušac (mentor)
Committee memberAna Sušac (predsjednik povjerenstva)
Committee memberLahorija Bistričić (član povjerenstva)
Committee memberIvana Bosnić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Razvijena je web-aplikacija za učenje japanskog pisma hiragana s modulima za učenje i testiranje koristeći razvojnu okolinu Django za back-end, biblioteku React za front-end i sustav za upravljanje bazama podataka PostgreSQL za pohranu podataka. Web-aplikacija uključuje četiri metode za učenje hiragane: samo simboli (kontrolni), simboli sa slikovnom asocijacijom, simboli s animiranom asocijacijom i simboli s odgovarajućim zvukom. Trinaest ispitanika je testirano koristeći web-aplikaciju i uređaj za mjerenje pokreta očiju da bi se vrednovala učinkovitost metoda za učenje. Svi rezultati su pokazali da je učenje simbola s odgovarajućim zvukom bilo manje učinkovito nego učenje simbola sa slikovnom i animiranom asocijacijom.
Abstract (english)
A web application for learning Japanese writing system hiragana with learning and testing modules has been developed using the Django framework for back-end, the React library for front-end, and the PostgreSQL database management system for storing data. The web application includes four methods for learning hiragana: only symbols (control), symbols with picture association, symbols with animated association and symbols with corresponding sound. Thirteen participants were tested using the web application and eye tracking to evaluate the efficiency of the learning methods. All results showed that learning symbols with corresponding sound was less efficient than learning symbols with picture association and animated association.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:508531
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2020-01-07 23:05:30