Conference Paper

Mobile learning and integration of advanced technologies in education.

DOI: 10.1145/1330598.1330695 In proceeding of: Proceedings of the 2007 International Conference on Computer Systems and Technologies, CompSysTech 2007, Rousse, Bulgaria, June 14-15, 2007
Source: DBLP

ABSTRACT Basic problems of advanced forms of education are insufficient flexibility, mobility and adaptability to learners needs of information and education whenever and wherever it is necessary. Some of the problems find their solution in capabilities of mobile education. Basic characteristics, advantages and existing challenges to that new and most flexible form of learning are presented in the paper. Issues of integration and combination of collaborative learning characteristics and functionalities of mobile technologies are overviewed. Strategic solutions for learning types development and integration of advanced technologies in different forms of education are presented.

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    ABSTRACT: has been an enormous increase in the use of mobile learning (M- Learning) systems in many fields due to the tremendous advancement in information and communication technologies (ICTs). Although, there are many frameworks that have been developed for identifying and categorizing the different components of M-Learning systems, most of them have some limitations, drawbacks, and no support for evaluating the success factors (global weights) of the system criteria. In this paper, a comprehensive hierarchical framework is developed for identifying and categorizing all components that may affect the development and deployments of cost-effective M-Learning. Furthermore, due to the hierarchical structure of the framework, analytic hierarchy process (AHP) techniques can be used to quantitatively estimate the success factors of the system criteria. In order to demonstrate the benefits and flexibility of the framework, the success factors of the different system criteria are evaluated for different sets of preferences using an interactive software tool, namely, SFacts, which is developed for calculating the success factors of the criteria of any hierarchical framework.
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