Peer tutoring in consumer computing

Vladimir, Klemo

prikaz prve stranice dokumenta Peer tutoring in consumer computing

No public access

doctoral thesis

Peer tutoring in consumer computing

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2013. urn:nbn:hr:168:218540

Vladimir, Klemo

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronics, Microelectronics, Computer and Intelligent Systems

Cite this document

APA 6th Edition

Vladimir, K. (2013). Peer tutoring in consumer computing (Doctoral thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:218540

MLA 8th Edition

Vladimir, Klemo. "Peer tutoring in consumer computing." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2013. https://urn.nsk.hr/urn:nbn:hr:168:218540

Chicago 17th Edition

Vladimir, Klemo. "Peer tutoring in consumer computing." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2013. https://urn.nsk.hr/urn:nbn:hr:168:218540

Harvard

Vladimir, K. (2013). 'Peer tutoring in consumer computing', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 09 February 2023, https://urn.nsk.hr/urn:nbn:hr:168:218540

Vancouver

Vladimir K. Peer tutoring in consumer computing [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2013 [cited 2023 February 09] Available at: https://urn.nsk.hr/urn:nbn:hr:168:218540

IEEE

K. Vladimir, "Peer tutoring in consumer computing", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2013. Available at: https://urn.nsk.hr/urn:nbn:hr:168:218540

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:218540

Please login to the repository to save this object to your list.

Metadata

Title	Peer tutoring in consumer computing
Title (croatian)	Međusobno poučavanje u potrošačkom računarstvu
Author	Klemo Vladimir
Mentor	Siniša Srbljić (mentor)
Committee member	Siniša Srbljić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Electronics, Microelectronics, Computer and Intelligent Systems) Zagreb
Defense date and country	2013, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Architecture of Computer Systems
Universal decimal classification (UDC)	004 - Computer science and technology. Computing. Data processing
Abstract	The thesis presents a framework for automation of consumer’s application consumption knowledge based on monitoring the knowledge automation process and recommendation of tutors with the required expertise. The research on peer tutoring in consumer computing focuses on identifying consumers whose help can be recommended in the process of application consumption knowledge automation. The primary goal of the research is to test the hypothesis that it is possible to identify consumers possessing the required tacit knowledge based on a reduced number of parameters used to represent consumers’ procedural knowledge. The tutor recommendation algorithm is researched and developed based on structural analysis and authorship identification of consumers’ applications. The tutor recommendation system is implemented and integrated into the consumer programming tool Geppeto. In order to demonstrate efficiency of developed framework, consumer study is performed in an environment that provides objective evaluation of the peer-tutoring framework.
Abstract (croatian)	Doktorski rad predstavlja radni okvir za automatizaciju znanja o korištenju primjenskih programa koji se zasniva na praćenju procesa automatizacije i preporuci pomagača koji imaju traženu ekspertizu. Istraživanje međusobnog poučavanja sudionika potrošačkog računarstva usredotočeno je na pronalazak potrošača koje je moguće preporučiti za pomoć tijekom postupka automatizacije znanja o korištenju primjenskih programa. Osnovni cilj istraživanja je provjera valjanosti pretpostavke da je na temelju zapisa proceduralnog znanja reduciranim skupom parametara moguće identificirati potrošače koji posjeduju traženo podsvjesno znanje. U tu svrhu, istražen je i oblikovan algoritam preporučivanja pomagača temeljen na analizi strukture i identificiranju autorstva potrošačkih primjenskih sustava. Sustav preporučivanja pomagača ostvaren je i objedinjen s alatom za potrošačko programiranje Geppeto. Da bi se pokazala učinkovitost razvijenog radnog okvira, potrošačka studija provela se u okolini koja omogućava objektivnu ocjenu radnog okvira za međusobno poučavanje.
Keywords
Keywords (croatian)
Language	english
URN:NBN	urn:nbn:hr:168:218540
Study programme	Title: Electrical Engineering and Computing Study programme type: university Study level: postgraduate Academic / professional title: Doktor znanosti elektrotehnike i računarstva (Doktor znanosti elektrotehnike i računarstva)
Type of resource	Text
Extent	108 str. ; 30 cm.
File origin	Born digital
Access conditions	Closed access
Terms of use
Repository	FER Repository
Created on	2019-04-19 14:56:03