Web analytics in e-learning: Agent-based and neural network approaches

Author

Artemenko, Viktor

Author_Institution

Lviv Acad. of Commerce, Lviv, Ukraine

Volume

02

fYear

2013

fDate

12-14 Sept. 2013

Firstpage

774

Lastpage

780

Abstract

Current research explores web analytics tools in the field of electronic learning using agent-based and neural network approaches. A hybrid agent-based model with built-in artificial neural networks is proposed. The model aims to support the computer simulation experiment assessment of knowledge production and knowledge dissemination trends among the agents of three types: authors, tutors and students of on-line courses. In the research we study the effectiveness of using the software to implement this model as an example in one of the higher education institutions.

Keywords

Internet; computer aided instruction; educational courses; educational institutions; further education; multi-agent systems; neural nets; Web analytics; agent-based approach; artificial neural networks; computer simulation experiment assessment; e-learning; electronic learning; higher education institutions; knowledge dissemination; knowledge production; neural network approach; online courses; Artificial neural networks; Computational modeling; Electronic learning; Internet; Production; artificial neural network; e-learning; hybrid agent-based model; web analytics;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on

Conference_Location

Berlin

Print_ISBN

978-1-4799-1426-5

Type

conf

DOI

10.1109/IDAACS.2013.6663030

Filename

6663030