prikaz prve stranice dokumenta Peer tutoring in consumer computing
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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

Institutional repository: FER Repository

Cite this document

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

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

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

Vladimir, K. (2013). 'Peer tutoring in consumer computing', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 11 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:218540

Vladimir K. Peer tutoring in consumer computing [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2013 [cited 2024 November 11] Available at: https://urn.nsk.hr/urn:nbn:hr:168:218540

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

Metadata
TitlePeer tutoring in consumer computing
Title (croatian)Međusobno poučavanje u potrošačkom računarstvu
AuthorKlemo Vladimir
MentorSiniša Srbljić (mentor)
Committee memberSiniša Srbljić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Electronics, Microelectronics, Computer and Intelligent Systems)
Zagreb
Defense date and country2013, 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)
Languageenglish
URN:NBNurn:nbn:hr:168:218540
Study programmeTitle: 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 resourceText
Extent108 str. ; 30 cm.
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Created on2019-04-19 14:56:03