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Publikācija: E-Inclusion Modeling for Blended E-Learning Course

Publication Type Scientific article indexed in SCOPUS or WOS database
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language E-Inclusion Modeling for Blended E-Learning Course
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Authors Ieva Vītoliņa
Keywords E-inclusion; e-learning, machine learning
Abstract This study aims to address the e-inclusion problem that relates to the inclusion of as many individuals as possible to enjoy benefits of information and communication technology. Study contributes to research of e-inclusion in context of blended e-learning. In this paper we propose architecture designed to predict e-inclusion degree of student based on machine learning and intelligent agent approach. We identified two main processes in the e-inclusion prediction system. The first process consists of agent learning activities. Intelligent agents learn the most appropriate algorithm to predict e-inclusion degree of student based on linear regression or cluster analysis. The second process includes activities to predict e-inclusion degree of student. This process covers analysis of e-inclusion risks and communication between student and instructor also. Proposed e-inclusion model consists of goal diagram, use cases diagrams and main algorithms of the system.
DOI: 10.1016/j.procs.2015.09.019
Hyperlink: http://www.sciencedirect.com/science/article/pii/S1877050915028495 
Reference Vītoliņa, I. E-Inclusion Modeling for Blended E-Learning Course. Procedia Computer Science, 2015, Vol.65, pp.744-753. ISSN 1877-0509. Available from: doi:10.1016/j.procs.2015.09.019
Additional information Citation count:
  • Scopus  0
ID 20187