Dubinska analiza podataka vezanih uz edukaciju

undergraduate thesis

• Title (english): Data mining of education related data
• Author: Tina Bakić
• Mentor: Mihaela Vranić (mentor)
• Committee member: Mihaela Vranić (predsjednik povjerenstva)
• Committee member: Damir Pintar (član povjerenstva)
• Committee member: Ana Šarčević (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-09-07, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Tema ovoga rada dubinska je analiza podataka vezanih uz edukaciju. U radu je predstavljena povijesna i teorijska pozadina područja dubinske analize podataka, istaknute su važne metode te je prikazana provedena analiza nad podacima iz područja edukacije. Podaci analizirani u sklopu ovoga rada, službeni su podaci Fakulteta elektrotehnike i računarstva. Provedeno je više analiza veza između uspješnosti različitih predmeta te su stvorena dva prediktivna modela za uspješnost studenta na matematičkom... More predmetu. Less

Abstract (english)

This thesis focuses on the mining and analysis of educational data. The thesis presents the historical and theoretical background of educational data mining, highlights the most important and most common methods in that area, and conducts and presents an analysis of a specific educational dataset. The data analyzed in the scope of this thesis is the official dataset obtained from the Faculty of Electrical Engineering and Computing, University of Zagreb. Several different analyses were... More conducted as part of this work, including an analysis of the relationship between success for pairs of related courses, and the construction and training of two supervised models used for the prediction of student’s success in mathematical courses. Less

• Keywords: dubinska analiza podataka; edukacija; analiza veza; predikcija
• Keywords (english): data mining; education; relationship mining; prediction
• Language: croatian
• URN:NBN: urn:nbn:hr:168:402052
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-14 20:01:46