Umjetna inteligencija i digitalni asistenti u obrazovanju

master's thesis

• Title (english): Artificial intelligence and digital assistants in education
• Author: Dávid Karácsonyi
• Mentor: Kristina Kocijan (mentor)
• Committee member: Vjera Lopina (predsjednik povjerenstva)
• Committee member: Kristina Kocijan (član povjerenstva)
• Committee member: Sanja Kišiček (član povjerenstva)
• Granter: University of Zagreb; Faculty of Humanities and Social Sciences; (Department of information and Communication sciences); Zagreb
• Defense date and country: 2020-09-21, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Information and Communication Sciences; Information Systems and Information Science

Abstract

Cilj je ovog diplomskog rada istražiti i opisati tehnologije bazirane na umjetnoj inteligenciji koje se koriste u primarno visokoškolskom obrazovanju, prvotno u obliku digitalnih asistenata (aplikacija, robota, algoritama). U sklopu rada provedena je anonimna anketa u kojoj su ispitanici podijelili svoja mišljenja o implementaciji inteligentnih sustava u lokalne i virtualne učionice te općenito o umjetnoj inteligenciji u obrazovanju i kako bi ona mogla utjecati na one koji ju koriste. Anketu je ispunilo 348 ispitanika iz jedanaest država svijeta i s različitih studijskih grupa. Važno je vidjeti što studentima najviše smeta i što ih odbija od spajanja tradicionalnog načina podučavanja s novom tehnologijom, odnosno što je drugoj grupi privlačno kada je riječ o istoj situaciji.

Abstract (english)

The aim of this thesis is to explore and describe technologies based on artificial intelligence used in higher education, primarily in the form of digital assistants (applications, robots, algorithms). An anonymous survey was conducted as part of this thesis in which respondents shared their views on the implementation of intelligent systems in local and virtual classrooms, and in general on artificial intelligence in education and how it could affect those who use it. The survey was completed by 348 respondents from 11 countries. Many of them were studying in different study groups. It is important to see what are the aspects of AI that bother students the most and what discourages them from combining the traditional way of teaching with new technology, or conversely, what is attractive to the other group of students.

• Keywords: umjetna inteligencija; obrazovanje; robot; algoritam; informatika; tehnologija; škola
• Keywords (english): artificial intelligence; education; robot; algorithm; informatics; technology; school
• Language: croatian
• URN:NBN: urn:nbn:hr:131:464042
• Study programme: Title: Information Sciences; specializations in: Computer Science (Teaching, Research), Informatology, Information Sciences (teaching), Information Sciences (research); Course: Computer Science (Teaching, Research); Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra informacijskih znanosti (magistar/magistra informacijskih znanosti)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2020-09-24 17:54:19