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master's thesis
Analitika učenja u računalom potpomognutom testiranju znanja
2018. urn:nbn:hr:166:620369
Prolić, Marija
University of Split
University of Split, Faculty of science
Department of Informatics

Cite this document

Prolić, M. (2018). Analitika učenja u računalom potpomognutom testiranju znanja (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:620369

Prolić, Marija. "Analitika učenja u računalom potpomognutom testiranju znanja." Master's thesis, University of Split, University of Split, Faculty of science, 2018. https://urn.nsk.hr/urn:nbn:hr:166:620369

Prolić, Marija. "Analitika učenja u računalom potpomognutom testiranju znanja." Master's thesis, University of Split, University of Split, Faculty of science, 2018. https://urn.nsk.hr/urn:nbn:hr:166:620369

Prolić, M. (2018). 'Analitika učenja u računalom potpomognutom testiranju znanja', Master's thesis, University of Split, University of Split, Faculty of science, accessed 19 May 2022, https://urn.nsk.hr/urn:nbn:hr:166:620369

Prolić M. Analitika učenja u računalom potpomognutom testiranju znanja [Master's thesis]. Split: University of Split, University of Split, Faculty of science; 2018 [cited 2022 May 19] Available at: https://urn.nsk.hr/urn:nbn:hr:166:620369

M. Prolić, "Analitika učenja u računalom potpomognutom testiranju znanja", Master's thesis, University of Split, University of Split, Faculty of science, Split, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:166:620369

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Metadata
TitleAnalitika učenja u računalom potpomognutom testiranju znanja
Title (english)Learning analytics in computer aided tests
AuthorMarija Prolić
MentorAni Grubišić (mentor)
Committee memberAni Grubišić (predsjednik povjerenstva)
Committee memberDivna Krpan (član povjerenstva)
Committee memberBranko Žitko (član povjerenstva)
GranterUniversity of Split
University of Split, Faculty of science
(Department of Informatics)
Split
Defense date and country2018-02-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Nakon što je računalo zamijenilo olovku i papir za učenje, postalo je zamjena i za testiranje naučenog. Zahvaljujući mnogim programskim alatima za e-učenje osim učenja omogućeno nam je i testiranje znanja. Prilikom oblikovanja testa glavni problem je kako sastaviti test da bude dovoljno precizan i dobar. Postoje određeni kriteriji koje je potrebno zadovoljiti da bi znali koliko je test kvalitetan. Da bi se što više približili dobrom testu potrebno je analizirati pitanja od kojih se sastoji. Cilj ovog rada je analiza testa. Koristeći rezultate ispita iz jednog kolegija, oblikovali smo programsko rješenje za analizu dobivenih podataka. Podatci koji su nam bili potrebni su ocjene, tj. ostvareni bodovi za svakog učenika, broj učenika koji su pristupili ispitu, broj pitanja, te broj bodova koje nosi pojedino pitanje. Osim same analize generirali smo preporuke za modifikaciju ispita. Pojedine rezultate smo interpretirali, odnosno potkrijepili sa komentarima.
Abstract (english)
After the computer replaced the pen and paper in the learning process, it also replaced the way students are tested. Thanks to many software tools for e-learning, besides learning, we are also able to test knowledge. When composing the test, the main problem is how to assemble the test to be accurate enough. There are certain criteria that need to be fulfilled in order to make the quality test. In order to get closer to the quality test, it is necessary to analyze the questions that are in the test. Our goal in this paper is to analyze the test. Using the results of the exam from one course, we created a software for analyzing the obtained dana. The data we needed were grades, i.e. the achieved score for each student, the number of students who passed the exam, the number of questions and the number of points for each question. Apart from the analysis itself, we have generated recommendations for the modification of the exam. We have interpreted some of the results and corroborated it with the comments.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:620369
Study programmeTitle: Computer Science; specializations in: major in teaching
Course: major in teaching
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije informatike (magistar/magistra edukacije informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2019-01-18 16:57:19