prikaz prve stranice dokumenta Kognitivni aspekti u personaliziranoj interakciji
Access restricted to students and staff of home institution
master's thesis
Kognitivni aspekti u personaliziranoj interakciji
2017. urn:nbn:hr:166:057771
Štrenja, Tamara
University of Split
University of Split, Faculty of science
Department of Informatics

Cite this document

Štrenja, T. (2017). Kognitivni aspekti u personaliziranoj interakciji (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:057771

Štrenja, Tamara. "Kognitivni aspekti u personaliziranoj interakciji." Master's thesis, University of Split, University of Split, Faculty of science, 2017. https://urn.nsk.hr/urn:nbn:hr:166:057771

Štrenja, Tamara. "Kognitivni aspekti u personaliziranoj interakciji." Master's thesis, University of Split, University of Split, Faculty of science, 2017. https://urn.nsk.hr/urn:nbn:hr:166:057771

Štrenja, T. (2017). 'Kognitivni aspekti u personaliziranoj interakciji', Master's thesis, University of Split, University of Split, Faculty of science, accessed 24 May 2022, https://urn.nsk.hr/urn:nbn:hr:166:057771

Štrenja T. Kognitivni aspekti u personaliziranoj interakciji [Master's thesis]. Split: University of Split, University of Split, Faculty of science; 2017 [cited 2022 May 24] Available at: https://urn.nsk.hr/urn:nbn:hr:166:057771

T. Štrenja, "Kognitivni aspekti u personaliziranoj interakciji", Master's thesis, University of Split, University of Split, Faculty of science, Split, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:166:057771

Please login to the repository to save this object to your list.
Metadata
TitleKognitivni aspekti u personaliziranoj interakciji
Title (english)Cognitive aspects in personalized Interaction
AuthorTamara Štrenja
MentorAndrina Granić (mentor)
Committee memberAndrina Granić (predsjednik povjerenstva)
Committee memberJelena Nakić (član povjerenstva)
Committee memberNikola Marangunić (član povjerenstva)
GranterUniversity of Split
University of Split, Faculty of science
(Department of Informatics)
Split
Defense date and country2017-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
O ovom diplomskom radu se govori o kognitivnim aspektima u personaliziranoj interakciji u području interakcije čovjeka i računala. Krenuvši od osnovnih pojmova HCI-a, utjecaju kognitivne psihologije na samo područje HCI-a, te procesu spoznaje i njegovoj važnosti u interakcijama čovjeka i računala. Nakon toga opisan je svaki od osnovnih kognitivnih aspekata koji uključuju pažnju, pamćenje, percepciju i prepoznavanje, učenje, čitanje, pisanje i slušanje, rješavanje problema, planiranje, rasuđivanje i donošenje odluka. Pojam personalizacija se odnosi na svojstva sustava koji mogu automatski prilagoditi svoje ponašanje i interakciju prema potrebi korisnika. Za potrebe ovog diplomskog rada korištenjem ASP.NET MVC okruženja, razvijen je personalizirani sustav za online učenje. Prilagodljivost sustava se temelji na VARK modelu stila učenja. Radi se o sustavu koji je namijenjen studentima visokog obrazovanja za online učenje koji osigurava potrebne resurse za učenje, kao i pojedinačne objekte elektronskih nastavnih materijala, definiranih prema pojedinom stilu učenja.
Abstract (english)
This paper is generally about cognitive aspects in personalized interaction in the field of human computer interaction. Starting from the basic concepts of HCI, interest of cognitive psychology in the HCI area, and the cognitive aspects which it's importance in human-computer interaction. After that, all basic cognitive aspects are described, including attention, memory, perception and recognition, learning, reading, writing and listening, problem solving, planning, reasoning and making decision are described. The concept of personalization is related to the properties of a system that can automatically adapt their behavior and interaction to the user's needs. For the purpose of this graduate thesis using the ASP.NET MVC environment is developed a personalized online learning system. System adaptability is based on the VARK model of learning style. This system is intended for high-education online learning students who provide the necessary learning resources as well as individual subjects of electronic teaching materials, determined by a special learning style.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:057771
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 on2018-03-20 15:42:40