Show simple item record

dc.contributor.authorMutua, Jesse N
dc.date.accessioned2013-05-09T06:56:56Z
dc.date.issued2012
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/20534
dc.description.abstractMobile learning (m-learning) is a methodology of supporting learning which is spontaneous, anywhere-anytime learning through the use of mobile technology. With the ubiquity of mobile phones and the broad availability of advanced features similar to pes, there is sufficiently large basis for development of education-rich applications. M-learning projects are pre-dominantly being carried out in the developed countries. The designers of current mobile technologies do not necessarily consider the conditions of developing countries when designing and so their products are not always applicable in the developing world. Therefore, the evaluation frameworks used in developed countries are not applicable in developing countries. Using survey and case study methodology, this research developed and tested a Mobile Learning Impact Measurement Framework (MLIMF) to address the problem. Using standards from training and development community, the researcher developed dimensions to evaluate mlearning. The dimensions were then applied to a sample of thirty eight (38) participants who have sued or are using m-learning systems. This was in order to assess the feasibility of the framework and the dimensions in evaluating m-learning. To develop the MLIMF, three hypotheses were tested. The data available for this study was limited to a sample of thirty eight (38) participants and two m-learning systems allowing only a broad analysis. However, the research undertaken proved the value of the framework as a tool for research and confirmed the validity of the framework design. Analysis of the results indicates that learner and environmental characteristics impact on the success of m-learning. The results have indicated that learner attitudes, motivations, experience, existing knowledge and skills and performance are significant to the success of m-learning systems. We also established that the application characteristics including content adaptability, cost, reliability and relevance of the materials are important aspects to consider. The framework aims at guiding policy in development of applications that can enable learners in developing countries obtain access to and use learning, through the use of mobile phones. It provides a competency set of novel guidelines to be followed when developing mobile learning systems and also to evaluate existing m-learning environments, products and services.en
dc.language.isoenen
dc.subjectMobile Learningen
dc.titleA framework for evaluating mobile learning (M-Learning)en
dc.typeThesisen
local.publisherSchool of Computing and Informaticsen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record