Primjena stabla odlučivanja u obrazovanju

master's thesis

• Title (english): Application of decision trees in education
• Author: Nino Dumičić
• Mentor: Predrag Pale (mentor)
• Committee member: Predrag Pale (predsjednik povjerenstva)
• Committee member: Zvonko Kostanjčar (član povjerenstva)
• Committee member: Juraj Petrović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2024-07-09, Croatia

Abstract

Ovaj diplomski rad predstavlja razvoj i primjenu programa za parsiranje stabla odlučivanja, dizajnirane za pretvaranje složenih struktura odlučivanja u interaktivno web sučelje. Koristeći Next.js, TypeScript i Material-UI, program omogućuje korisnicima učitavanje stabla odlučivanja stvorenih u CmapTools-u i njihovu interaktivnu vizualizaciju.
Ključni doprinosi uključuju uspješno parsiranje XTM datoteka, intuitivno korisničko sučelje za navigaciju kroz stablo odlučivanja i responzivni dizajn. Rad analizira izazove u razvoju, posebno u očuvanju vizualnih elemenata i metapodataka iz CmapTools-a, te predlaže buduća poboljšanja.
Projekt doprinosi području sustava za podršku odlučivanju demonstrirajući praktičan pristup povećanju dostupnosti i upotrebljivosti stabla odlučivanja. Zaključno, ova primjena predstavlja značajan korak prema povećanju dostupnosti alata za stabla odlučivanja, s potencijalom za primjenu u obrazovanju.

Abstract (english)

This thesis presents the development and application of a decision tree parsing program, designed to convert complex decision structures into an interactive web interface. Using Next.js, TypeScript and Material-UI, the program allows users to load decision trees created in CmapTools and visualize them interactively.
Key contributions include successful parsing of XTM files, intuitive user interface for navigating the decision tree, and responsive design. The paper analyzes challenges in development, especially in preserving visual elements and metadata from CmapTools, and suggests future improvements.
The project contributes to the field of decision support systems by demonstrating a practical approach to increasing the availability and usability of decision trees. In conclusion, this application represents a significant step towards increasing the availability of decision tree tools, with potential for educational applications.

• Keywords: Parser stabla odluka; Interaktivno učenje; Web sučelje; Obrazovna tehnologija; CmapTools Integration
• Keywords (english): Decision Tree Parser; Interactive learning; Web application; Educational technology; CmapTools Integration
• Language: croatian
• URN:NBN: urn:nbn:hr:168:850362
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2024-10-12 20:29:03