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master's thesis
Nadzorna ploča analitike učenja
2019. urn:nbn:hr:166:297202
Čelar, Angela
University of Split
Faculty of Science
Department of Informatics

Cite this document

Čelar, A. (2019). Nadzorna ploča analitike učenja (Master's thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:297202

Čelar, Angela. "Nadzorna ploča analitike učenja." Master's thesis, University of Split, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:166:297202

Čelar, Angela. "Nadzorna ploča analitike učenja." Master's thesis, University of Split, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:166:297202

Čelar, A. (2019). 'Nadzorna ploča analitike učenja', Master's thesis, University of Split, Faculty of Science, accessed 26 October 2024, https://urn.nsk.hr/urn:nbn:hr:166:297202

Čelar A. Nadzorna ploča analitike učenja [Master's thesis]. Split: University of Split, Faculty of Science; 2019 [cited 2024 October 26] Available at: https://urn.nsk.hr/urn:nbn:hr:166:297202

A. Čelar, "Nadzorna ploča analitike učenja", Master's thesis, University of Split, Faculty of Science, Split, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:166:297202

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Metadata
TitleNadzorna ploča analitike učenja
Title (english)Learning analytics dashboard
AuthorAngela Čelar
MentorAni Grubišić (mentor)
Committee memberAni Grubišić (predsjednik povjerenstva)
Committee memberBranko Žitko (član povjerenstva)
Committee memberDivna Krpan (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Informatics)
Split
Defense date and country2019-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj diplomski rad opisuje izradu blok dodatka sustavu e-učenja Moodle, koji se najčešće koristi kao podrška mješovitom učenju, naziva Nadzorna ploča analitike učenja koji koristi metodu stabla odlučivanja i ID3 algoritam za predviđanje ocjena te nadzornom pločom vizualizira napredak kroz kolegij i slabe točke kolegija. Poziva sudionike nastavnog procesa da proaktivno djeluju u svrhu unaprijeđivanja istoga te u svrhu poboljšanja vlastitih učinaka u okolini učenja.
Abstract (english)
This thesis describes development of a block plugin for Moodle, most commonly used e-learning system to support blended learning, called Learning analytics dashboard which uses decision tree method and ID3 algorithm to predict students' grades, and visualizes students' progress on course and course weak spots on a dashboard. Invites attendees of the teaching process to proactively work to improve it and to improve its own learning environment.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:297202
Study programmeTitle: Physics and Computer Science; specializations in: major in teaching
Course: major in teaching
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije fizike i informatike (magistar/magistra edukacije fizike i informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) icon
Created on2019-11-25 10:44:13