Peer tutoring in consumer computing (CROSBI ID 383265)
Ocjenski rad | doktorska disertacija
Podaci o odgovornosti
Vladimir, Klemo
Srbljić, Siniša
engleski
Peer tutoring in consumer computing
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.
consumer computing; peer tutoring; recommender system; knowledge automation
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Podaci o izdanju
108
25.11.2013.
obranjeno
Podaci o ustanovi koja je dodijelila akademski stupanj
Fakultet elektrotehnike i računarstva
Zagreb