nem

This paper presents an approach for adjusting Felder-Silverman learning styles model for application in development of adaptive e-learning systems. Main goal of the paper is to improve the existing e-learning courses by developing a method for adaptation based on learning styles. The proposed method includes analysis of data related to students characteristics and applying the concept of personalization in creating e-learning courses. The research has been conducted at Faculty of organizational sciences, University of Belgrade, during winter semester of 2009/10, on sample of 318 students. The students from the experimental group were divided in three clusters, based on data about their styles identified using adjusted Felder-Silverman questionnaire. Data about learning styles collected during the research were used to determine typical groups of students and then to classify students into these groups. The classification was performed using data mining techniques. Adaptation of the e-learning courses was implemented according to results of data analysis. Evaluation showed that there was statistically significant difference in the results of students who attended the course adapted by using the described method, in comparison with results of students who attended course that was not adapted

This paper introduces an innovative model for harnessing cloud computing infrastructure within an e-learning ecosystem. The main goal was to design a scalable, reliable and secure IT environment that provides a plethora of e-learning services and seamless integration of the heterogeneous e-learning components through IaaS, PaaS and SaaS cloud service models. The e-learning services are tailored to foster courses for IT engineers in the areas of mobile technologies, social computing, Internet of Things and big data. The model was implemented and evaluated in the e-learning ecosystem of the E-business Lab, University of Belgrade.

Existing approaches for management of digital identities within e-learning ecosystems imply defining different access parameters for each service or application. However, this can reduce system security and lead to insufficient usage of the services by end-users. This chapter investigates various approaches for identity management, particulary in a cloud computing environment. Several complex issues are discussed, such as cross-domain authentication, provisioning, multi-tenancy, delegation, and security. The main goal of the research is to provide a highly effective, scalable identity management for end-users in an educational private cloud. A federated identity concept was introduced as a solution that enables organizations to implement secure identity management and to share information on the identities of users in the cloud environment. As a proof of concept, the identity management system was implemented in the e-learning system of Faculty of Organizational Sciences, University of Belgrade.

No abstract