Models of crowdsourcing in smart learning environments

[A. S. Zahirović Suhonjić]

IX, 319 listova

Informacioni sistemi i menadžment-Elektronsko poslovanje / Information Systems and Management-E-business

Razvoj savremenih informaciono-komunikacionih tehnologija omogućio je proširenje mogućnosti podučavanja i učenja korišćenjem novih metoda i alata za unapređenje kvaliteta elektronskog obrazovanja. Pored toga, pametna obrazovna okruženja i internet inteligentnih uređaja su omogućili promene u pristupima podučavanju i učenju, kako u tradicionalnim okruženjima obrazovanja, tako i u okruženjima virtuelnih zajednica. Različiti novi koncepti kolektivne inteligencije i kolaborativnog učenja, još uvek nisu jasno teorijsko-metodološki uobličeni u kontekstu elektronskog obrazovanja i pametnih obrazovnih okruženja. Među tim konceptima je i crowdsourcing koji koristi znanje i veštine umrežene grupe ljudi da bi se izvršio crowdsourcing zadatak. Crowdsourcing se u primeni pokazao kao efikasna inovacija u učenju i podučavanju, naučnoistraživačkom radu i za rešavanje različitih problema u obrazovanju. Glavna hipoteza koja je razvijena i dokazana u okviru doktorske disertacije je da se razvojem i primenom modela crowdsourcing-a u pametnim obrazovnim okruženjima unapređuju performanse i kvalitet obrazovanja, povećava se motivisanost studenata i poboljšavaju se konačni rezultati obrazovnog procesa. U eksperimentalnom delu doktorske disertacije realizovana su tri istraživačka projekta na dve visokoškolske institucije, koja su za cilj imala validaciju predloženih modela crowdsourcing-a u različitim obrazovnim okruženjima. Rezultati evaluacije su potvrdili veliki potencijal predloženih modela i potvrđena je značajna spremnost studenata na kolaboraciju, kompetentnost za rešavanje postavljenih zadataka, proizvodnju kvalitetnih rešenja i visok nivo njihove samoorganizovanosti.

The development of modern information and communication technologies has enabled the expansion of teaching and learning opportunities by using new methods and tools for improving the quality of e-education. In addition, smart learning environments and Internet of things have enabled changes in teaching and learning approaches, both in traditional educational environments and in virtual community environments. The various new concepts of collective intelligence and collaborative learning are still not clearly theoretically and methodologically formed in the context of e-education and smart learning environments. Among these concepts is crowdsourcing, that uses the knowledge and skills of a crowd to perform a crowdsourcing task. Crowdsourcing has proven to be an effective innovation in learning and teaching, scientific research work and in solving various educational problems. The main hypothesis that was developed and demonstrated in this dissertation was that development and implementation of crowdsourcing models in smart learning environments improve the performance and quality of education, increase the students' motivation and improve the final results of educational process. In the experimental part of the doctoral dissertation, three research projects were carried out in two higher education institutions aimed at validating the proposed crowdsourcing models in different educational environments. The results of the evaluation confirmed the great potential of the proposed models and showed students' willingness to collaborate, their competence for solving tasks and production of quality solutions, as well as high degree of their self-organization.

elektronsko obrazovanje, crowdsourcing, pametna obrazovna okruženja

E-Education, Crowdsourcing, Smart Learning Environments

004.738.5:37(043.3)

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