Bio

MR. KARIUKI PAUL NDUNGU

Information and Communication Technology professional with a Masters degree in Applied Computer Science, a bachelor's degree in Computer Science from the University of Nairobi School of Computing and Informatics. Paul Kariuki has more than ten years' experience in overseeing IT operations, analyzing and designing information systems to aid on-time delivery of business solutions.

Publications


2009

Kariuki, PN.  2009.  MODELLING ASYNCHRONOUS DISTRIBUTED E-LEARNING ENVIRONMENT. , Nairobi: UoN Abstract

The world today has some very advanced ICT services and high quality life indicators. The existing online e-learning environments have been designed with this in mind, and are therefore reliant on reliable means of communication for their access. However, access to Internet which facilitates access to these online e-learning environments is not universal, and poses a significant cost to the user. The lack of access to online educational resources whether for economical or logistics reasons excludes otherwise eligible students from the course. This is a significant issue in rural and lower socioeconomic neighborhoods. On the other hand, occasional loss of connectivity, bandwidth provider problems or the need to take down parts of the network for maintenance still renders asynchronous communication dependant e-learning system inaccessible at times. This calls for new methods and technology to supplement traditional online based training and instruction and provide continuous learning even when offline.
This research project present an Asynchronous Distributed e-learning Environment model that overcomes the challenges faced in the usage and implementation of synchronous communication dependant e-learning platforms. The learning environment proposed in this research overcomes the infrastructural challenges of access to online learning environment by providing an alternative mechanism that allows learning to continue even with minimal or unreliable communication infrastructure, thereby overcoming the infrastructural access barrier posed by the convectional e-learning environment. The system is modeled in conformity with the existing e-learning systems that are driven by network connectivity, having most of the features that are characteristic of today’s e-learning platform.

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